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Citation: Shi, L.; Maruthaveeran, S.;
Yusof, M.J.M.; Dai, C. Exploring
Factors Influencing Recreational
Experiences of Urban River Corridors
Based on Social Media Data. Appl. Sci.
2024,14, 4086. https://doi.org/
10.3390/app14104086
Academic Editors: Fang Yenn Teo
and Anurita Selvarajoo
Received: 2 April 2024
Revised: 28 April 2024
Accepted: 8 May 2024
Published: 11 May 2024
Copyright: © 2024 by the authors.
Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and
conditions of the Creative Commons
Attribution (CC BY) license (https://
creativecommons.org/licenses/by/
4.0/).
applied
sciences
Article
Exploring Factors Influencing Recreational Experiences of Urban
River Corridors Based on Social Media Data
Lin Shi 1, Sreetheran Maruthaveeran 1, * , Mohd Johari Mohd Yusof 1and Chenyang Dai 1,2
1Department of Landscape Architecture, Faculty of Design & Architecture, Universiti Putra Malaysia,
Serdang 43400, Selangor Darul Ehsan, Malaysia
2Department of Design, Faculty of Arts, Hebei University of Economics & Business,
Shijiazhuang 050061, China
*Correspondence: sreetheran@upm.edu.my; Tel.: +60-12-3310942
Abstract: River corridors, recognized as “blue–green infrastructure,” have become a crucial support
system for urban sustainability in contemporary urbanized societies. Understanding the factors
influencing the recreational experience along urban river corridors is paramount for enhancing
visitors’ health and well-being. This study focuses on the Hutuo River Corridor in Shijiazhuang,
China, collecting 3006 valid reviews from Dianping, a prominent review platform. We developed
a text-based thematic model and conducted content analysis using this dataset. The main social
(visiting time, duration of stay, motivation, safety, and visitors’ types and activities) and physical
(natural elements, artificial facilities, maintenance and management, accessibility, distance, models of
transportation, weather, and seasons) factors associated with recreational experiences were identified.
We assessed visitor perceptions of urban river corridors and elucidated facilitators or barriers through
textual content analysis in reviews. The results indicate the feasibility of employing social media
data to study visitors’ recreational experiences along urban river corridors. This comprehensive
exploration from a qualitative ecological perspective contributes valuable insights for urban planning
and management. Moreover, the findings hold significant implications for understanding the usage
patterns of river corridors in China and potentially in other countries.
Keywords: urban river corridor; leisure experiences; recreational experiences; socio-ecological model;
social media data
1. Introduction
In modern urbanized society, river corridors have become essential support systems
for the sustainable development of cities [
1
]. Their significance is heightened as most of
the global population converges in densely populated areas. City dwellers, profoundly
influenced by rapid demographic shifts and the pressures associated with urban lifestyles,
actively seek ways to reconnect with nature [
2
,
3
]. Creating diverse public spaces along
riverbanks has led to a surge in recreational activities, fostering intricate interactions with
riverine ecosystems.
River corridors, known as “blue–green infrastructure”, are vital to the stability, com-
fort, and sustainability of urban areas [
4
,
5
]. Firstly, functioning as natural systems within
cities, they regulate the urban microclimate, mitigate the urban heat island effect, maintain
water and soil, purify water bodies, and enhance biodiversity by creating buffer zones of
riverbank vegetation [
6
–
12
]. Secondly, the recreational development of rivers in most urban
settings follows a “ribbon” pattern, with rivers constituting a fundamental element of the
urban dynamic [
13
]. Geographically, they dominate urban regions, delineating the frame-
work and boundaries of cities, serving as cultural heritage and urban landmarks [
14
]. The
river corridor landscape, by collecting water sources, creating visual transparency in archi-
tectural spaces, and increasing aesthetic value, enhances the quality of urban
spaces [15,16]
.
Additionally, urban river corridors provide residents with spaces for recreational activities,
Appl. Sci. 2024,14, 4086. https://doi.org/10.3390/app14104086 https://www.mdpi.com/journal/applsci
Appl. Sci. 2024,14, 4086 2 of 27
expanding opportunities for residents to connect with nature, thereby promoting their
physical and mental health [
17
–
21
]. Urban river corridors have evolved into ideal areas
featuring water landscapes, serving as venues for residents’ social activities and community
gatherings, fostering social cohesion among neighbors [22–24].
Over the past few decades, urban river corridor projects have been ubiquitous in
developed countries and increasingly promoted in developing countries. A nuanced com-
prehension of public usage patterns and limitations is pivotal for effective urban river
corridor restoration [
25
]. Residents inherently constitute a crucial component of urban river
initiatives [
26
,
27
]. Identifying stakeholders’ landscape values and preferences mitigates po-
tential conflicts and promotes comprehensive planning and river corridor management [
28
].
Despite a conducive social and political milieu in China supporting heightened river land-
scape management and restoration for community well-being, public participation remains
circumscribed, constraining substantive involvement from key stakeholders such as propri-
etors, users, residents, visitors, and neighbors. This limited public involvement dramatically
hinders the effective bridge of the “people–city–river” relationship [
28
,
29
]. Empirical evi-
dence underscores the detrimental consequences of neglecting public involvement in river
restoration, particularly within urban river corridors [
26
]. Furthermore, involving the
public in the decision-making processes of river restoration plans enhances their sense of
belonging, ownership, and pride in the local river environment [
30
,
31
]. Ultimately, public
participation in river projects heightens the probability of successful implementation and
garnering support for restoration plans [25,32].
In the era of big data, exemplified by social media platforms, online networks have
evolved into a domain where users can express opinions and emotions [
33
]. Platforms
such as Facebook, Twitter, Flickr, Sina Weibo, WeChat, and Dianping boast substantial
user bases, enabling individuals to articulate their viewpoints freely and discuss specific
topics. Consequently, these platforms are evolving into crucial sources for collecting social
perception data [
34
]. In contrast to traditional survey methods, the freedom, openness,
and sharing reflected in web text data can authentically portray users’ perceptions and
experiences regarding urban green spaces [
35
–
39
]. The diversity and comprehensiveness
of data on these social networks capture dynamic features of various human activities
and environmental elements, providing researchers with significant convenience and rich
possibilities to conduct urban studies from various scales and perspectives [40].
Some studies have attempted to explore the latent worth of user-generated reviews
and tweets to enhance comprehension of recreational motivations and experiences [
41
,
42
].
Researchers often employ high-frequency word analysis and semantic network analysis to
gauge visitors’ preferences. For instance, Shen and Zhang [
43
] employed web text analysis
using platforms such as Baidu, Dianping, and Ctrip to take comments and travel notes
as samples. From the perspectives of environment, activities, attractions, services, and
culture, they analyzed tourists’ perceptions of wetland park tourist images. Some scholars
have been experimenting with methods to transform information from spontaneously
generated text data on social media into structured landscape feature assessments [
44
,
45
].
For example, Sim and Miller [
46
] collected 3703 tweets mentioning Jingyi Line Forest Park
from Twitter to gain insights into the activities park visitors desired and their satisfaction
levels with different activities. Plunz et al. [
47
] harnessed geographically tagged Twitter
databases to develop a method for quantifying emotional levels in urban green spaces.
Using Twitter and Weibo data as samples, Roberts [
48
] investigated seasonal variations
in crowd activities and public engagement in urban green spaces. Based on Sina Weibo
data, Fang et al. [
49
] also analyzed visitor sentiment characteristics in urban parks. They
employed sentiment value calculation, word frequency analysis, and GIS spatial analysis
and examined visitor spatiotemporal distribution characteristics, emotional structures, and
key influencing factors. Upon organizing and analyzing these human-oriented activity data,
the derived outcomes can be applied to the planning process, alleviating the deficiency in
public participation within the landscape design process to a certain extent. While extensive
research has explored online social media data in green spaces, its full potential in urban
Appl. Sci. 2024,14, 4086 3 of 27
river corridor research remains untapped. Information about the recreational experiences
of urban river corridors awaits further exploration and discovery.
Understanding the interplay between individuals and urban river corridors is crucial
for enhancing tourists’ recreational experiences. This study integrates social-ecological
models with qualitative analysis based on social media data. The theoretical foundation
of social ecology focuses on individuals, emphasizing the intricate multilevel interactions
between people and their environments [
50
]. It underscores the interrelationships between
social and physical environments and individual behaviors; the actions of individuals,
groups, and organizations can also influence social and natural environments [
51
]. As
Sallis et al. [
52
] proposed, the social-ecological model provides a comprehensive theoretical
framework for comprehending the multifaceted factors influencing the visitor experience in
urban river corridors. A profound understanding of visitors’ patterns of use and constrain-
ing factors in urban river corridors assists managers in comprehensively understanding
visitor needs and expectations, thereby facilitating the provision of higher-quality urban
river corridor services that align with citizen expectations.
Based on a qualitative ecological perspective, this study aims to explore the social and
physical factors that promote or hinder recreational experiences along urban river corridors.
By integrating the advantages of extensive text data mining, the research comprehensively
and rapidly understands the environmental conditions and visitors’ recreational experience
needs, providing valuable insights for future urban landscape planning and management.
The study focuses on three characteristics: (1) a preliminary evaluation of the recreational
experiences along urban river corridors using high-frequency word features to induce the
centrality of the semantic network within the text; (2) construction of a text-based topic
model using LDA–Gibbs to determine the optimal number of themes and describe each
theme; (3) content analysis of collected text data to identify visitors’ recreational experience
patterns and barriers they faced along urban river corridors.
2. Methods
2.1. Study Site
This study was conducted in the urban section of Hutuo River, Shijiazhuang, a city
in northern China (Figure 1). Historically, this river has played a pivotal role in trade and
agriculture, serving as the lifeblood for Shijiazhuang residents and encapsulating the city’s
rich history and cherished memories. In the last century, issues such as deteriorating water
quality, sedimentation, interrupted flow, loss of biodiversity, and a decline in the river’s
landscape quality arose due to urban development and groundwater extraction in this river.
The 2007 Hutuo River Flood Control and Comprehensive Improvement Project rejuvenated
its landscape, combining aesthetic and natural landscapes, complemented by various
recreational amenities, including jogging paths, dedicated bicycle lanes, dining areas,
plazas, and a fountain hosting evening performance. According to the Urban Master Plan
of Shijiazhuang City (2011–2020), the objective is to transform the Hutuo River Corridor
into a green ecological corridor, aligning with the city’s transition towards a “one river, two
banks” layout [53].
2.2. Research Procedure
This study aims to conduct an in-depth analysis following the text mining of social
media data related to the Hutuo River Corridor in Shijiazhuang, China. The research
progresses through various stages, including data cleaning, feature word research, text
theme model construction, and content analysis, with a step-by-step approach to delve into
the core of the data. The specific processes involved (Figure 2):
(1)
Cleaning the raw dataset obtained from the Dianping website.
(2)
The LDA–Gibbs text theme model was employed to calculate the distribution of
high-frequency feature words in the dataset, facilitating its structured processing.
Subsequently, the perplexity of the overall text was computed to determine the
optimal number of themes. A second round of LDA–Gibbs model computation was
Appl. Sci. 2024,14, 4086 4 of 27
performed based on the determined optimal theme number, resulting in the final
theme text model.
(3)
The Nvivo software (v.12) was employed to complete the coding of the text theme
model, and the text content was analyzed to deeply explore the usage patterns and
the constraints they encountered during their recreational experiences along urban
river corridors.
Appl. Sci. 2024, 14, x FOR PEER REVIEW 4 of 28
Figure 1. The urban section of Hutuo River Corridor in Shijiazhuang (Zhonghua Avenue–North
Extension of East Third Road).
2.2. Research Procedure
This study aims to conduct an in-depth analysis following the text mining of social
media data related to the Hutuo River Corridor in Shijiazhuang, China. The research pro-
gresses through various stages, including data cleaning, feature word research, text theme
model construction, and content analysis, with a step-by-step approach to delve into the
core of the data. The specific processes involved (Figure 2):
(1) Cleaning the raw dataset obtained from the Dianping website.
(2) The LDA–Gibbs text theme model was employed to calculate the distribution of
high-frequency feature words in the dataset, facilitating its structured processing.
Subsequently, the perplexity of the overall text was computed to determine the opti-
mal number of themes. A second round of LDA–Gibbs model computation was per-
formed based on the determined optimal theme number, resulting in the final theme
text model.
(3) The Nvivo software (v.12) was employed to complete the coding of the text theme
model, and the text content was analyzed to deeply explore the usage paerns and
the constraints they encountered during their recreational experiences along urban
river corridors.
Figure 1. The urban section of Hutuo River Corridor in Shijiazhuang (Zhonghua Avenue–North
Extension of East Third Road).
Appl. Sci. 2024, 14, x FOR PEER REVIEW 5 of 28
Figure 2. Social media data processing flowchart.
2.3. Data Collection and Cleaning
The research was conducted using ethical guidelines established by the JEthics Com-
miee for Research Involving Human Subjects at Universiti Putra Malaysia (JKEUPM)
[Ref. No.: 2023-1338]. Data utilized in this study were sourced from textual content (re-
views) available on Dianping (v.11.17.4), a prominent local life information provider and
online rating platform in China. Dianping holds the second position in monthly active
users according to the “2022 China’s Top 10 Lifestyle and Leisure App Monthly Active
Users Ranking” report [54], boasting a substantial user base spanning diverse socioeco-
nomic backgrounds and age groups. All data collected from Dianping were voluntary
submissions by users and publicly available, devoid of personally identifiable infor-
mation. Consequently, users implicitly consented to using their data for research upon
registering on the platform. The absence of encryption facilitated efficient data cleaning
and analysis, supporting the extraction of valuable insights through algorithms. The uti-
lization of Dianping data aligns with China’s regulations governing data usage for aca-
demic research. Given the platform’s representativeness, open-source nature, cost-free
availability, and widespread usage across social media platforms, it emerged as the pre-
ferred source for foundational data in this study.
During the data collection process, measures were implemented to safeguard against
the inclusion of sensitive or identifying information. Data were securely stored and acces-
sible solely to authorized researchers. Users’ comments underwent anonymization prior
to analysis to ensure privacy and confidentiality. The final collected data structure encom-
passes the following variables: user nickname, comment content, review timestamp, and
scenic spot name.
During data collection, it is possible to encounter dirty, noisy, or missing data. There-
fore, performing preliminary cleaning while collecting the data, then the dataset was ex-
ported to Excel after collection completion, and multiple rounds of manual cleaning were
performed based on the following principles:
(1) Exclusion of garbled data, such as emoticons or web links embedded within com-
ments.
(2) Removal of meaningless characters like “!#¥%……Y#!!¥(*&”.
(3) Elimination of duplicate data, where if a data entry appears more than once, only one
instance is retained.
Figure 2. Social media data processing flowchart.
2.3. Data Collection and Cleaning
The research was conducted using ethical guidelines established by the JEthics Com-
mittee for Research Involving Human Subjects at Universiti Putra Malaysia (JKEUPM) [Ref.
No.: 2023-1338]. Data utilized in this study were sourced from textual content (reviews)
Appl. Sci. 2024,14, 4086 5 of 27
available on Dianping (v.11.17.4), a prominent local life information provider and online
rating platform in China. Dianping holds the second position in monthly active users
according to the “2022 China’s Top 10 Lifestyle and Leisure App Monthly Active Users
Ranking” report [
54
], boasting a substantial user base spanning diverse socioeconomic back-
grounds and age groups. All data collected from Dianping were voluntary submissions by
users and publicly available, devoid of personally identifiable information. Consequently,
users implicitly consented to using their data for research upon registering on the platform.
The absence of encryption facilitated efficient data cleaning and analysis, supporting the
extraction of valuable insights through algorithms. The utilization of Dianping data aligns
with China’s regulations governing data usage for academic research. Given the platform’s
representativeness, open-source nature, cost-free availability, and widespread usage across
social media platforms, it emerged as the preferred source for foundational data in this study.
During the data collection process, measures were implemented to safeguard against
the inclusion of sensitive or identifying information. Data were securely stored and ac-
cessible solely to authorized researchers. Users’ comments underwent anonymization
prior to analysis to ensure privacy and confidentiality. The final collected data structure
encompasses the following variables: user nickname, comment content, review timestamp,
and scenic spot name.
During data collection, it is possible to encounter dirty, noisy, or missing data. There-
fore, performing preliminary cleaning while collecting the data, then the dataset was
exported to Excel after collection completion, and multiple rounds of manual cleaning were
performed based on the following principles:
(1)
Exclusion of garbled data, such as emoticons or web links embedded within comments.
(2)
Removal of meaningless characters like “!#¥%. . .. . .Y#!!¥(*&”.
(3)
Elimination of duplicate data, where if a data entry appears more than once, only one
instance is retained.
(4)
Removal of invalid reviews, defined as those containing fewer than five characters or
consisting solely of emoticon symbols such as “like”, “good”, or “okay”.
(5)
Elimination of data redundancy, excluding repetitive content within reviews, such as
“good, good, good”, “not bad, not bad, not bad”, “like like like”, and “recommend,
recommend, recommend”.
Given the revitalization and improvement of the Hutuo River (urban section of Shiji-
azhuang) that occurred after 2017, the data collection period spans from 1 January 2017, to
31 December 2023. After multiple meticulous cleaning, a total of 3006 valid review entries
for the Hutuo River Corridor (urban section of Shijiazhuang) were obtained.
2.4. Data Analysis
2.4.1. LDA–Gibbs Text Theme Model Construction
This study conducted text mining on a preprocessed social media dataset based on the
Latent Dirichlet Allocation (LDA). Natural language text was transformed into structured
feature text. The LDA–Gibbs model was employed for semantic model construction and
thematic analysis, including determining the number of themes and exploring their content.
The LDA–Gibbs model, introduced in 2003 by Blei and others, is a three-layer Bayesian
probability model that is a powerful tool for analyzing the theme distribution in large
textual datasets [
55
,
56
]. The fundamental concept is to represent documents as random
mixtures of latent themes, each characterized by a distribution over words [
55
]. It provides
a probabilistic representation of the themes in each document within a document collection.
Analyzing a subset of documents and extracting their theme distributions makes it possible
to perform theme clustering or text classification based on these distributions. LDA is
an unsupervised machine learning method, eliminating the need for labeled data during
model training. It is well-suited for selecting representative samples from vast datasets,
classifying them, and annotating them [
57
]. Currently, LDA–Gibbs is widely applied in
text mining, theme analysis, and related fields due to its stable and accurate results during
the modeling process [58].
Appl. Sci. 2024,14, 4086 6 of 27
(1)
High Frequency Feature Word Extraction
In contrast to English words separated by spaces, the Chinese written language
arranges characters individually without apparent gaps between words. To process this
information, segmentation of the sequence of equally spaced Chinese characters is necessary
for word separation [
59
]. Thus, a word segmentation tool is required to process the obtained
text data, breaking down the original continuous text into word sequences and filtering out
words with no practical meaning, i.e., stop words. This study used the Jieba segmentation
tool to remove stop words from the Dianping text data. Subsequently, a word frequency
analysis was performed on the text data to extract high-frequency feature words and
generate a vocabulary frequency table. To avoid ambiguity, this study did not include
the frequency of single characters in the statistics of high-frequency feature words. The
top 100 high-frequency feature words were selected to gain initial insights into visitors’
perceptions and the importance of urban river corridors. Subsequently, irrelevant entries
were manually removed while concurrently retaining high-frequency terms that appeared
together. The top 50 high-frequency feature words were selected to generate the semantic
network relationship diagram. This diagram allowed for the analysis of node centrality,
providing a more intuitive reflection of the semantic structure and interrelationships among
high-frequency feature words.
(2)
Determining the Number of Themes
Empirical studies confirm a direct relationship between the effectiveness of LDA
theme extraction and the number of latent themes, denoted as K[
60
]. The results of this
extraction are susceptible to the value of K. Perplexity, a standard evaluation metric in
natural language processing [
61
], which plays a crucial role in assessing the quality of
models. Generally, perplexity decreases with an increasing number of themes, with smaller
perplexity indicating more vital generalization ability. The “elbow” point, representing the
optimal number of themes, exhibits a significant perplexity difference with the preceding
point and a minor difference with the subsequent point [62].
This study employed the method of calculating perplexity and plotted the theme-
perplexity curve to determine the optimal number of themes. In the LDA–Gibbs theme
model, the formula for calculating perplexity is as follows [55]:
Per plesity(D) = exp(−
∑M
d−1log p(wd)
∑M
d−1Nd)(1)
where, Drepresents the test set in the corpus, consisting of Mdocuments. N
d
denotes the
number of words in each document d,w
d
represents the words in document d, and p(w
d
)
represents the probability of generating the word wdin the document.
(3)
Construction of Text Theme Model
After determining the optimal number of themes, K, through perplexity calculation, a
random assignment of a theme number was made for each word in the corpus. Within each
theme, words were arranged based on their probabilities of generation. The distribution
of words in each document and the associated themes was computed, resulting in the
document–theme distribution. Throughout this process, careful attention was given to the
issue of polysemy, where feature words needed to appear in each corresponding context
when such instances arose. This procedure involved organizing and categorizing the word
frequency results, ultimately establishing categories for textual themes.
2.4.2. Text Content Analysis
Next, Nvivo software was employed to conduct content analysis on the comment
data within the social media dataset. The key method practically interprets themes within
the LDA–Gibbs model by integrating comment texts and high-frequency feature words
through theme analysis to provide insights into visitors’ attitudes and thematic interests
concerning the urban river corridor. The overall process is outlined as follows:
Appl. Sci. 2024,14, 4086 7 of 27
(1)
Data import: select the top hundred comments most relevant to each theme and
import them into the Nvivo folder.
(2)
Contextualization of feature words: combining feature words generated by the LDA–
Gibbs model and comment data from social media, the feature words are contextualized.
(3)
Manual coding: interpreting the results obtained through Nvivo analysis involves
summarizing the specific content described by each theme.
(4)
Output of results: after completing the node classification, specific descriptions of
each theme can be obtained.
2.4.3. Time Data Analysis
This section analyzes the vibrancy of urban river corridors based on a time series,
considering seasons, months, weekdays and weekends, holidays, and specific times of the
day when visitors engage in activities [
63
]. The COVID-19 pandemic pronounced impacted
the commentary volume related to the Hutuo River Corridor in Shijiazhuang, given the
home isolation measures imposed on residents during the outbreak. Therefore, the analysis
centers on data gathered post-lockdown from 1 January 2022, to 31 December 2023. The
study examines the monthly comment on the Hutuo River Corridor in Shijiazhuang and the
comment volumes during four seasons: spring (March to May), summer (June to August),
autumn (September to November), and winter (December to February). The aim is to
depict the current state of visitor activity and experiences accurately.
3. Results
3.1. High-Frequency Feature Word Analysis
In accordance with the data format obtained, high-frequency keywords were extracted
using the LDA–Gibbs model, resulting in an original Chinese word segmentation set.
Subsequently, data from the original Chinese word segmentation set underwent filtering,
utilizing a predefined stop-word list to obtain an adjusted textual dataset. This process
involved removing irrelevant vocabulary and merging duplicate words, culminating in
extracting 100 high-frequency terms related to the urban section of the Shijiazhuang Hutuo
River Corridor (Table S1).
From a lexical perspective, high-frequency vocabulary primarily comprises nouns,
verbs, and adjectives. Among these, nouns constitute the most significant quantity, en-
compassing visitor types, geographic locations, scenic spots, facility names, functions, and
visitation times. Verbs chiefly reflect features of visitors’ behaviors, motivations, and the
process of visitor activities. Adjectives are mainly employed to portray visitors’ attitudes,
moods, and perceptions and describe the modified architectural image features, reflecting
the sensory characteristics of the Hutuo River Corridor. The adjective “good” stands out
as the most frequently mentioned term, indicating overall satisfaction with the urban
river corridor. “Children” is the most mentioned noun, suggesting that the Hutuo River
Corridor provides an ideal place for family outings for residents. Additionally, visitors
may access with “friends”. Nouns like “park”, “Hutuo River”, “Shijiazhuang”, “scenic
area”, “Zhengding”, “riverside”, “flower sea”, “nearby”, “location”, “Taiping River”, and
“scenic area” represent visitors’ understanding of the geographic location of the scenic area.
Other nouns such as “time, scenery, environment, lighting, weather, flower sea, facility,
transportation, season” indicate visitor interest in the urban river corridor’s environmental
features and physical attributes, with a preference for visiting during favorable weather.
“Tickets” and “free” rank high, underscoring visitor concern about the corridor’s fees and
related charges. Adjectives like “suitable, beautiful, convenient, attractive, happy, fun”,
along with “recommendation” and “worth” reflect visitors’ experiences. Verbs such as
“perceive, check-in, drive, like, come out, take photos, barbecue, camp, drive, play, picnic”
express visitors’ deep engagement in experiential behaviors during visits, highlighting the
corridor’s diverse offerings and functions. However, the “parking” issue may leave room
for improvement.
Appl. Sci. 2024,14, 4086 8 of 27
A semantic network graph was constructed using the top 50 high-frequency feature
words (Figure 3), followed by an analysis of node centrality using degree centrality. The size
of nodes represents their degree of centrality, with larger nodes indicating higher centrality,
positioning them as pivotal elements within the network. Edge thickness signifies the
strength of association between two nodes, where thicker connections denote more co-
occurrences and stronger correlations between words.
Appl. Sci. 2024, 14, x FOR PEER REVIEW 9 of 28
satisfaction with the urban river corridor environment. The outermost and peripheral po-
sitions represent further expansion and enrichment of the core and sub-core positions.
Through this four-tier structure, the aractor system of the urban river corridor is rela-
tively complete, providing a profound understanding of the interactive dynamics among
visitors, destinations, and activities. This framework opens new perspectives for enhanc-
ing the image and constructing a future system for urban river corridors.
Figure 3. Semantic network centrality of social network texts in Hutuo River Corridor.
3.2. Text Theme Model
Figure 4 illustrates the perplexity function’s output results for different themes. It is
evident that perplexity gradually decreases as the value of K (number of themes) in-
creases. According to the elbow method, a significant inflection point occurs around K =
8, where the decreasing trend of perplexity slows down. Therefore, the optimal value for
K, in this corpus selected for our study, is identified as 8. Utilizing the LDA model, the
generation quantity of LDA themes was set to 8.
Figure 3. Semantic network centrality of social network texts in Hutuo River Corridor.
Figure 3exhibits a divergent pattern radiating from the center outward. “Good”,
“children”, and “place” emerge as the predominant high-frequency words, often serving as
the focal points for evaluations. This phenomenon epitomizes a concentrated reflection of
urban river corridor utilization. Among these, “children” holds a central position, serving as
the most critical node in the network. It is frequently associated with vocabulary expressing
children’s activities, locations, and moods, such as “good, take photos, place, amuse,
scenery, suitable, happy, beautiful”, and more. Elements related to the destination, centered
around the core term “place”, form prominent themes in the comments, including “perceive,
good, children, scenery, park, time, check-in, barbecue, beautiful”. These elements exhibit a
closely interconnected structure. Second-level keywords encompass time, activity locations,
and experiential terms, providing further insights into the core positions. Visitors’ activities
like “take photos, barbecue, check-in”, along with nouns such as “lighting, ticket, people,
Shijiazhuang, park”, and adjectives related to experiential feelings collectively constitute
third-level keywords. Additionally, concerns about “weather, parking, drive” are evident.
Expressions like “amuse” and “convenient” indicate visitor satisfaction with the urban river
corridor environment. The outermost and peripheral positions represent further expansion
and enrichment of the core and sub-core positions. Through this four-tier structure, the
attractor system of the urban river corridor is relatively complete, providing a profound
understanding of the interactive dynamics among visitors, destinations, and activities. This
Appl. Sci. 2024,14, 4086 9 of 27
framework opens new perspectives for enhancing the image and constructing a future
system for urban river corridors.
3.2. Text Theme Model
Figure 4illustrates the perplexity function’s output results for different themes. It is
evident that perplexity gradually decreases as the value of K(number of themes) increases.
According to the elbow method, a significant inflection point occurs around K= 8, where
the decreasing trend of perplexity slows down. Therefore, the optimal value for K, in this
corpus selected for our study, is identified as 8. Utilizing the LDA model, the generation
quantity of LDA themes was set to 8.
Appl. Sci. 2024, 14, x FOR PEER REVIEW 10 of 28
Figure 4. Number of theme–perplexity line graph.
Therefore, the results extracted from the LDA–Gibbs model encompass eight themes.
For each theme, the feature words are sorted based on their generation probability within
that theme. The top 30 words for each theme are selected and presented in Table S2. The
LDA–Gibbs model randomly selects text themes and compares the similarity of words in
the comments. After marking similar words, the model assesses the frequency of word
occurrences. Simultaneously occurring high-frequency words are grouped into the same
theme. In a given comment dataset, characteristic words from different themes may ap-
pear, with the proportion of high-frequency words determining the thematic aributes of
that comment. By drawing inspiration from the coding results of Nvivo and integrating
comments with high-frequency feature words, the following themes were systematically
summarized: visit time, visitor types, visit motivation, visitor activities, characteristics of
urban river corridor, maintenance and management, accessibility, and visitors’ aitude,
as outlined in Table 1. Subsequently, a thematic overview was provided for the eight
themes), accompanied by illustrative comment examples (Table S3).
Table 1. Summarized themes and categories.
No. Theme Category
1 Visit time
Season, month, weekday and weekend, holiday, time of a
day
2 Visitor types Children, adults, the elderly, parents, friends, couples, etc.
3 Visit motivation
Admiring the scenery, exercising, spending time with fam-
ily or friends, discovering and experiencing nature, relaxing,
escaping city life, engaging in outdoor recreation and ser-
vices
4 Visitors’ activities
Scenic appreciation, sports activities, interact with small ani-
mals, skiing, barbecuing, picnicking, drinking, conversa-
tions, dancing, dog walking, walking, etc.
5 Characteristics of
urban river corridor
Natural landscape (vegetation, animals, water), artificial fa-
cilities (fitness trails, sports facilities, fountain, outdoor ter-
races, pavilion, sculpture, etc.)
6 Maintenance and
management Maintenance, management, services
7 Accessibility
spatial openness, continuity, amenities, landmarks, traffic
conditions, distance, and models of transportation
8 Visitors’ aitude positive, neutral, and negative
Figure 4. Number of theme–perplexity line graph.
Therefore, the results extracted from the LDA–Gibbs model encompass eight themes.
For each theme, the feature words are sorted based on their generation probability within
that theme. The top 30 words for each theme are selected and presented in Table S2. The
LDA–Gibbs model randomly selects text themes and compares the similarity of words
in the comments. After marking similar words, the model assesses the frequency of
word occurrences. Simultaneously occurring high-frequency words are grouped into the
same theme. In a given comment dataset, characteristic words from different themes may
appear, with the proportion of high-frequency words determining the thematic attributes
of that comment. By drawing inspiration from the coding results of Nvivo and integrating
comments with high-frequency feature words, the following themes were systematically
summarized: visit time, visitor types, visit motivation, visitor activities, characteristics of
urban river corridor, maintenance and management, accessibility, and visitors’ attitude, as
outlined in Table 1. Subsequently, a thematic overview was provided for the eight themes),
accompanied by illustrative comment examples (Table S3).
Table 1. Summarized themes and categories.
No. Theme Category
1 Visit time Season, month, weekday and weekend, holiday, time of a day
2 Visitor types Children, adults, the elderly, parents, friends, couples, etc.
3 Visit motivation
Admiring the scenery, exercising, spending time with family or friends,
discovering and experiencing nature, relaxing, escaping city life, engaging in
outdoor recreation and services
Appl. Sci. 2024,14, 4086 10 of 27
Table 1. Cont.
No. Theme Category
4 Visitors’ activities
Scenic appreciation, sports activities, interact with small animals, skiing,
barbecuing, picnicking, drinking, conversations, dancing, dog walking,
walking, etc.
5
Characteristics of urban river corridor
Natural landscape (vegetation, animals, water), artificial facilities (fitness trails,
sports facilities, fountain, outdoor terraces, pavilion, sculpture, etc.)
6 Maintenance and management Maintenance, management, services
7 Accessibility
spatial openness, continuity, amenities, landmarks, traffic conditions, distance,
and models of transportation
8 Visitors’ attitude positive, neutral, and negative
3.3. Factors Affecting Leisure Experience in Urban River Corridors
The present study integrates the eight themes identified by the LDA–Gibbs model
with high-frequency words, Nvivo coding, and textual comments. Through extensive
text reading, contextual relationships among them were unveiled and reconstructed. Si-
multaneously, based on the social-ecological model, factors influencing the recreational
experiences along the Hutuo River Corridor in Shijiazhuang were reorganized into two
major categories: social and physical attributes (Figure 5). Social attributes refer to the
individual’s social psychological processes connecting with others, society, and nature in
social practices [
64
,
65
]. The research indicates that leisure experiences along the urban river
corridor are primarily influenced by social factors such as visit time (weekdays and week-
ends, holidays, and time of day), duration of stay, motivation, safety, and visitors’ types
and activities. Meanwhile, physical attributes encompass the tangible features and spatial
elements of objects [
66
]. Physical factors influencing the recreational experience along
the urban river corridor mainly involve natural elements, artificial facilities, maintenance
and management, accessibility, distance, and models of transportation. Although weather
and seasons (months) are related to time, they often cause variations in the landscape
environment, affecting visitor access, and are thus considered physical factors.
Appl. Sci. 2024, 14, x FOR PEER REVIEW 11 of 28
3.3. Factors Affecting Leisure Experience in Urban River Corridors
The present study integrates the eight themes identified by the LDA–Gibbs model
with high-frequency words, Nvivo coding, and textual comments. Through extensive text
reading, contextual relationships among them were unveiled and reconstructed. Simulta-
neously, based on the social-ecological model, factors influencing the recreational experi-
ences along the Hutuo River Corridor in Shijiazhuang were reorganized into two major
categories: social and physical aributes (Figure 5). Social aributes refer to the individ-
ual’s social psychological processes connecting with others, society, and nature in social
practices [64,65]. The research indicates that leisure experiences along the urban river cor-
ridor are primarily influenced by social factors such as visit time (weekdays and week-
ends, holidays, and time of day), duration of stay, motivation, safety, and visitors’ types
and activities. Meanwhile, physical aributes encompass the tangible features and spatial
elements of objects [66]. Physical factors influencing the recreational experience along the
urban river corridor mainly involve natural elements, artificial facilities, maintenance and
management, accessibility, distance, and models of transportation. Although weather and
seasons (months) are related to time, they often cause variations in the landscape environ-
ment, affecting visitor access, and are thus considered physical factors.
Figure 5. Factors influencing recreational experiences of urban river corridors from socio-ecological
perspective.
3.3.1. Social Aributes Influencing Recreational Experiences of Urban River Corridors
(1) Visit time
Tem por al variat ion s si gni ficantly influence the visitation to the Hutuo River Corridor
in Shijiazhuang. In terms of social aributes, it is mainly analyzed and discussed from
three aspects: weekdays and weekends, holidays, and time of day.
The comments indicate that a surge in user numbers is observed during weekends
and holidays. Many visitors mentioned that the Hutuo River Corridor is an “excellent
destination for weekend outings” and noted that “almost every weekend, the place is
crowded”. Residents prefer leisure time in nature [67]. Weekends and holidays offer most
people a break and leisure, giving them more free time to visit and explore scenic spots.
Weekdays may be constrained by daily tasks such as work and study, particularly for
children who, influenced by China’s unique education policies and competitive mecha-
nisms, face heavy homework loads. As supervisors and companions for children, parents
Figure 5. Factors influencing recreational experiences of urban river corridors from socio-ecological
perspective.
Appl. Sci. 2024,14, 4086 11 of 27
3.3.1. Social Attributes Influencing Recreational Experiences of Urban River Corridors
(1)
Visit time
Temporal variations significantly influence the visitation to the Hutuo River Corridor
in Shijiazhuang. In terms of social attributes, it is mainly analyzed and discussed from
three aspects: weekdays and weekends, holidays, and time of day.
The comments indicate that a surge in user numbers is observed during weekends
and holidays. Many visitors mentioned that the Hutuo River Corridor is an “excellent
destination for weekend outings” and noted that “almost every weekend, the place is
crowded”. Residents prefer leisure time in nature [
67
]. Weekends and holidays offer most
people a break and leisure, giving them more free time to visit and explore scenic spots.
Weekdays may be constrained by daily tasks such as work and study, particularly for chil-
dren who, influenced by China’s unique education policies and competitive mechanisms,
face heavy homework loads. As supervisors and companions for children, parents also find
it challenging to allocate time for recreational experiences in urban river corridors during
weekdays [
67
,
68
]. Additionally, many special events and entertainment activities typically
occur on weekends and holidays, attracting more participants.
Diverse visitation times throughout the day showcase the corridor’s capacity to attract
foot traffic [
69
]. According to high-frequency feature words, “evening” is frequently
mentioned. Visitors access during the evening in various seasons; in summer evenings,
there is a high influx of people seeking relief from the heat and enjoying the night scenery.
Common sentiments include, “There are usually more people there”, and “It is cooler by
the river, a great place to bring the whole family for a refreshing break”. Evening light
shows receive praise, with visitors marveling at the “colorful lights creating a magnificent
scene as if entering a fairyland”. In winter evenings, organized events attract people, such
as, “On the fifteenth night of the first lunar month, drove to the spacious Mingxi Lake Park
to enjoy fireworks and sky lanterns”. However, a visitor advisory notes, “It can be a bit
cold in the evening, so remember to dress warmly”. “Midday” appears with moderate
frequency. In May, visitors choose to “nap lightly in the tent at noon” or “take a nap on
the grass”. Towards the end of October, “the noon sunlight falls on the sand, and children
play barefoot”. However, during summer and early autumn, as it can be “too hot”, it is
“not recommended to visit during the heat of midday”. Although “morning” has a lower
frequency, it is recommended by many. Residents in the vicinity often come for morning
jogs, and sightings of fishing enthusiasts are common. Expressions like “A morning stroll
here is very comfortable and pleasant” reflect that the morning offers a serene and inviting
environment, attracting numerous fitness enthusiasts.
(2)
Duration of stay
The majority of findings suggested that visitors’ duration of stay along urban river
corridors is typically short, approximately one hour [
70
–
76
]. However, this study reveals
diverse visitor stay duration. Some visitors merely pass through, taking a moment to “take
a deep breath, let thoughts briefly linger, and savor the tranquility of life”. Others describe,
“Choosing a day with moderate temperatures, finding a patch of grass, laying down a mat,
bringing some food and drinks, one can camp here for an entire day”.
(3)
Motivation
Human preferences play a crucial role in supporting positive experiences and fulfilling
their motivation for visiting a site [
77
]. Based on the textual content, visitors’ motivations
can be categorized into six distinct types: admiring the scenery, exercising, spending time
with family or friends, discovering and experiencing nature, relaxing, and escaping city
life, as well as engaging in outdoor recreation and services.
Most visitors come here to admire the scenery, as reflected in the comments: “Always
seeing other people’s pictures in the comments, today I finally got to see the beautiful
scenery, truly beautiful!” and “The setting sun on the water, a gentle breeze brushing
the face, blue sky with white clouds, and swaying reed beds”. This inclination towards
Appl. Sci. 2024,14, 4086 12 of 27
appreciating natural beauty indicates people’s pursuit of aesthetically pleasing moments.
Furthermore, visitors express satisfaction and joy when enjoying the picturesque views
of the Hutuo River Corridor: “The surrounding views, such as flowing water and lush
greenery”, seem to evoke people’s experiences of tranquility and the beauty of nature.
Overall, the river corridor attracts leisure and entertainment seekers and serves as a refuge
for those who appreciate and draw inspiration from natural landscapes. This shared
appreciation creates positive and enriching experiences for individuals frequently visiting
this natural scenery.
Furthermore, visitors access this place to discover and experience nature. Research
in environmental psychology indicates that vegetation and water bodies in natural en-
vironments contribute to stress reduction, enhanced attention, and positive emotional
impacts [
78
]. In natural landscapes, vegetation provides visual pleasure and creates a
pleasant environment for visitors, fostering mental health and emotional well-being [
79
].
On the other hand, the significance of water in shaping people’s perception of nature is
underscored. When combined with natural water features such as grassy embankments,
they have been found to contribute to a sense of tranquility and encourage enjoyable
activities like contemplation or sitting down to observe, aligning with people’s preferences
for nature experiences [
80
,
81
]. The broad water body of Hutuo River, earning widespread
acclaim from citizens, provides an enhanced panoramic view. Various nature experiences
mentioned in the comments, such as “sitting by the river”, “feeling the breeze”, “admiring
flowers and plants”, “listening to bird calls”, “hearing the sound of water”, and “breathing
fresh air”, reflect the avid pursuit of natural elements by individuals. Particularly under
the influence of the pandemic, the heightened demand for outdoor spaces highlights a
desire for sunlight and fresh air. The Hutuo River corridor, as an urban green space offering
abundant vegetation and water features, satisfies citizens’ aspirations for nature, tranquility,
and a healthy lifestyle.
Moreover, the design of the Hutuo River Corridor draws individuals to engage in
physical exercise. Adequate physical activity has been shown to mitigate the risk of
diseases associated with urban living, such as diabetes, hypertension, and cardiovascular
diseases [
82
–
84
]. The Hutuo River Corridor is meticulously fashioned as an enclave for
physical activity, featuring dedicated fitness trails, exercise equipment, and recreational
areas. For instance, one user comment eloquently states, “A new running track has been
established here, serving as a natural oxygen bar for sports and fitness”. The Hutuo River
Corridor emerges as a community resource propelling a healthy lifestyle, offering residents
a space conducive to promoting both physical and mental well-being.
Chinese residents exhibit a profound sense of relationship [
67
], with many considering
the enjoyment of social relationships, such as spending time with family or friends, as a
significant aspect of their lives. The Hutuo River Corridor, as a public space, evidently
serves as a popular venue for shared moments with family or friends. Various activities
like “family gatherings”, “car enthusiast meets”, and “company team-building” choose
this location. “Having a picnic here when the weather is good is also delightful”. “On
weekends, inviting a few good friends to camp here, savoring red wine, enjoying barbecues,
singing songs—it is all about comfort and happiness”. Numerous visitors echo these
sentiments. Perceiving the environment, engaging in conversations, and utilizing the river
corridor as a recreational space or sitting by the riverbank to savor culinary delights all
contribute to shared activities, imbuing the setting with symbolic meaning. The resulting
social networks, friendships, and relationships contribute to collective well-being [85,86].
In contemporary urban settings, alleviating daily stress has become increasingly
crucial. One study indicates that, unlike artificial environments, natural settings can restore
physical vitality and offer mental relaxation [
87
]. Consequently, some users regard the
Hutuo River Corridor as a place to “escape the hustle and bustle of the city, unwind, and
rejuvenate”. Another visitor comment elucidates, “In the urban area, the Minxin River that
runs through the city fails to fulfill people’s desire for a waterside residence in terms of
water quality and scale. The ecological project of the Hutuo River may bring a sense of
Appl. Sci. 2024,14, 4086 13 of 27
anticipation to those long accustomed to city life. While it lacks the exquisite and enduring
beauty of southern water towns or the grandeur of mighty rivers, it still imparts people a
serene joy and tranquility”.
The Hutuo River management authorities also offer various outdoor leisure activities
and services. Unlike urban areas in the UK, in Shijiazhuang, it is challenging to find
dedicated dog parks. Consequently, many residents opt to walk their dogs along the
Hutuo River. For those with a penchant for fishing, “the river environment is quite clean,
teeming with fish, making it an ideal spot for fishing”. Providing activities within this
space enhances opportunities for public participation, thereby promoting the utilization of
open spaces [
88
]. For instance, some individuals visit the Hutuo River to engage in beer
festivals, light displays, concerts, fountain performances, boating, and winter activities like
skiing with their children. The site encapsulates beliefs, identities, memories, and thoughts
that transcend everyday concerns. For instance, some come to the Hutuo River Corridor to
rediscover childhood tastes, noting the presence of snack vendors, sugar painting artists,
cotton candy, and old-fashioned popcorn, which are increasingly rare in the city. The
creatively designed Green Train Head restaurant, “laden with locals from Shijiazhuang,
evokes childhood memories”.
(4)
Safety
In this study, user comments primarily highlight two safety concerns. Firstly, the
narrow stairs inside the Lanxiu Tower may increase the risk of accidents. Secondly, the
issue of haphazard parking could lead to traffic chaos and jeopardize pedestrian safety.
These problems may influence visitors’ perceptions and experiences of the Hutuo River
Corridor, underscoring the need for careful consideration and resolution to enhance the
overall quality of public space.
(5)
Visitors’ types and activities
In contrast to prior research, this study reveals a surprising finding—the most fre-
quently mentioned visitors in terms of frequency are children. Many comments center
around children’s activities: “The favorite activity with my children is rowing in the park”,
“Many kids are playing in the water by the river”, “Children by the river are busy digging
sand and catching fish, having a great time”. Children’s playtime is primarily determined
by the structure of the school year, with summer vacation being their preferred time for
outings [
89
]. Warmer seasons are more conducive to physical activities for preschool chil-
dren, while colder seasons pose more significant challenges [
89
]. Consistent with a study
in Finland, outdoor activities for children often require supervision [
74
]. Therefore, some
considerate visitors advise parents with children to be cautious and keep a safe distance
from the water. Additionally, young adults constitute a significant visitor group, including
parents of children. Some engage in activities organized along the Hutuo River Corridor
with friends, attending concerts, light shows, and other performances, attracting mainly
young people and couples. The enchanting scenery of the corridor also draws many young
couples for wedding photoshoots. Elderly visitors often come for a stroll, accompanied by
family members or walking their dogs, which is consistent with previous studies [
90
,
91
].
Some seniors specifically come for fishing, while others participate in morning exercises,
contributing to the diverse visitor demographic of the Hutuo River Corridor.
Scenic appreciation is the most frequently mentioned activity by user comments,
including enjoying flowers, autumn landscapes, river views, and watching sunsets. For
instance, during spring, “the flora along the river flourishes”, particularly along the “entire
flower-lined route, creating a liberating and delightful ambiance”. “The river water is clear,
rippling with a picturesque springtime scenery”. In summer, “the lovely wetland park
built along the river features vast lotus ponds”. As autumn arrives, “a beautiful scene
unfolds with blue skies, white clouds, green water, and yellowing grass”. Adults prefer
springtime outings and photography due to the rich vegetation and vibrant colors. One
comment noted, “In places with dense trees, many people are sketching”.
Appl. Sci. 2024,14, 4086 14 of 27
Halkos et al. [
92
] suggest that infrastructure can enhance visitor satisfaction, especially
with sports and recreational facilities [
93
]. Many people engage in sports activities here
because “the fitness trail along the river has a comfortable feel”, and “many people walk
and run here on weekends. There are also quite a few cycling enthusiasts”. “Climbing on
Wohushan Park, a small pavilion is at the top. Although not high, it provides a panoramic
view of the mountains!” The Hutuo River Corridor also has numerous well-designed
and safe facilities for children, offering water activities, sand play, boating, kite flying,
skateboarding, and balance biking. It is a professional and secure space, highly suitable
for family entertainment. Some parks with animal themes allow children to interact with
small animals. In winter, many parents deliberately bring their children here to ski. When
the riverbank freezes, some even consider it a natural ice-skating rink.
Research indicates that positive acoustic environments in urban green spaces are
perceived in various ways, contributing to tranquility and peace during outdoor leisure
experiences [
94
–
97
]. For instance, the sound quality of flowing water can be utilized by
urban planners to create a soothing soundscape [
98
]. Furthermore, the deliberate emphasis
on ecological conservation features in the Hutuo River Corridor attracts birds to nest. A
user commented, “Lying in a hammock, feeling the gentle breeze, and listening to the
birdsong is truly delightful”.
Moreover, young people refer to the Hutuo River Corridor as a “great camping spot”.
They often set up tents with family or friends, bringing small tables, chairs, grills, and meat.
They engage in activities such as barbecuing, picnicking, drinking beer, and engaging in
lively conversations, referring to this place as a “gathering place for toasting”. Additionally,
some users observe that “many people gather by the river, some with children playing”,
similar to the concept of “child walking” in Finland [
74
]. “In the mornings, you can often
see some elderly individuals, some practicing Tai Chi, others gracefully dancing with fans”.
“There are also those who come here to walk, and others walking their dogs, and so on”.
3.3.2. Physical Attributes Influencing Recreational Experiences of Urban River Corridors
(1)
Natural elements
Urban river corridors, as distinctive natural spaces within cities, play a crucial role
in urban planning and ecosystem services [
99
]. Firstly, these corridors often exhibit rich
biodiversity, functioning as green ecological corridors in urban settings [
100
]. For instance,
“extensive planting of flowers and trees along the river has created a floral ocean”; in
spring, “yellow rapeseed flowers, purple February orchids, white pear blossoms, and pink
cherry blossoms create an exceptionally enchanting scene”. In summer, “lush greenery
prevails, and the most extravagant display is the vast floral sea, with a large area and
diverse varieties, recreating the scenery of blue skies, green meadows, and reeds-filled
ponds”. However, due to the relatively short time since the Hutuo River restoration, some
sections still lack fully grown trees, leading to complaints about “small trees, insufficient
shade, and too much sun exposure”. In autumn, admiration is expressed: “The abundant
flowers, plants, and trees on both sides of the river create a dense and verdant landscape,
with reeds swaying gracefully in the wind. Occasionally, water birds fly by, and along
the roadside, the flower sea, though not as abundant as in midsummer, presents a unique
scenery”. Che et al. [
101
] proposed that vegetation contributes to people’s experience
of rivers and water environments. The diversity of the ecosystem also attracts various
wildlife, contributing to essential ecological balance. Users remark, “More bird species
are discovered here”, “seagulls are sometimes seen on the water”, “walking down the
observation path towards the deeper areas leads into the reed marsh, where ducks can be
spotted swimming or foraging occasionally”, “there is quite a lot of fish”, and “butterflies
dance gracefully among the flowers”. Secondly, these corridors typically revolve around
water bodies, forming a natural water system network. This not only aids urban water
resource management but also provides a comfortable leisure space. Nature-oriented river
corridors attract people by meeting their need for contact with natural water [
102
]. Börger
et al. [
103
] found that water quality may influence the leisure experience in urban river
Appl. Sci. 2024,14, 4086 15 of 27
corridor spaces. Additionally, their research indicates that water quality assessments may
be based on visual cues, such as color, clarity, and the presence of debris [
103
]. Based on
textual evaluations, users commonly express sentiments like “large water surface”, “good
water quality”, “relatively clear water trail”, “clean river water”, and “the river is vast with
a broad view”, indicating high visitor satisfaction with the river water.
(2)
Artificial facilities
The Hutuo River Corridor not only possesses rich natural landscapes but also inte-
grates various artificial facilities to meet the diverse needs of residents better, enhancing the
overall functionality of urban green spaces. Firstly, it features dedicated fitness trails and
sports facilities, catering to residents’ needs for physical exercise. These facilities offer con-
venient fitness spaces and create shared community areas, fostering a healthy lifestyle, such
as cycling for the youth, post-dinner strolls, and Tai Chi for the elderly. Secondly, artificial
landscape designs like the “musical fountain”, the “I Love Shijiazhuang” sign, colorful
windmills, and wind chimes embellish the route, adding artistic elements and aesthetic
appeal. These elements enhance the city’s visual appeal and provide residents with places
to appreciate and relax. Additionally, urban river corridors often include children’s play
areas, offering kids a safe and enjoyable space. Facilities like outdoor terraces become ideal
places for family and friend gatherings, supporting community activities. People gather
in these spaces, participating in various outdoor activities such as picnics and barbecues,
making them an integral part of urban life. Places where people gather often attract com-
mercial and entertainment establishments, enriching social activities and enhancing the
site’s allure [
104
]. Consequently, the Hutuo River Corridor features a dedicated area for
water performances, injecting vitality into the riverside space and attracting more visitors
and residents. Lastly, to enhance the visitor experience, some river corridors have rest
pavilions, train-themed restaurants, and other service facilities, allowing people to enjoy
the natural beauty along the riverbank better. Moreover, these convenient facilities carry
rich cultural histories, reflecting the evolution of the city and traces of human activities.
Intertwining these artificial facilities with natural features collectively constructs a unique
and comprehensive urban ecosystem for river corridors.
(3)
Maintenance and Management
The maintenance and management evaluation primarily focuses on the green space
maintenance and overall landscape management of the Hutuo River Corridor. Overall,
visitors have provided positive feedback on the green space maintenance of the Hutuo River
Corridor, noting that the upkeep is timely and issues such as overgrown weeds and garbage
disposal have been effectively addressed. One user commented, “In my previous memory,
both sides of the Hutuo River were filled with overgrown vegetation, litter everywhere, and
dirty river water. Unexpectedly, in the past two years, the riverbanks have been transformed
into a park with lush greenery, outstanding cultural and natural scenery, and the water
quality feels excellent, with occasional sightings of people fishing”. However, some users
expressed dissatisfaction concerning the convenience facilities, stating, “The equipment is
somewhat outdated, and we hope for enhanced maintenance”. “In the Lanxiu Tower area,
the hygiene maintenance is insufficient, lacking garbage bins. Tourists litter everywhere
with garbage and cigarette butts. It would be even better if tourists could conscientiously
contribute to maintaining the environment”. Influenced by peak tourist periods, there is
an increased demand for convenience facilities, leading to complaints such as, “The toilets
are overcrowded, not cleaned promptly, and hygiene is poor”. They suggested, “While the
scenic environment is good, and the view is beautiful, the supporting facilities need to catch
up”. Regarding management, some areas require strengthening; as users pointed out, “For
some fee-based services, the charges are deemed unreasonable”. “Small vendors are selling
somewhat unsanitary snacks on both sides of the roads”. These factors are pivotal in shaping
visitors’ overall experience and satisfaction with the Hutuo River Corridor.
Appl. Sci. 2024,14, 4086 16 of 27
(4)
Accessibility
The accessibility of urban river corridors involves various dimensions. Previous research
by other scholars has incorporated variables such as spatial openness, visual corridors, conti-
nuity, and amenities to assess the public’s accessibility to urban riverbank spaces [
101
,
105
]. By
extracting high-frequency keywords from social media data and summarizing textual content,
this study identified five indicators influencing the accessibility of the Hutuo River Corridor:
spatial openness, continuity, amenities, traffic conditions, and landmarks.
In certain circumstances, river corridors might be repurposed, impacting the conve-
nience for the public. For example, comments indicate that the Hutuo River Corridor was
intercepted during flood periods, and many areas were sealed off. “Due to water discharge
in the river, the entrance gates have been locked”. Such situations may restrict public access
to the river corridor during specific periods or under particular conditions. Within user
comments, three instances highlight disruptions caused by road construction, leading to
detours. Such interruptions in continuity may significantly interfere with visitors’ travel
and activity plans, diminishing their willingness to engage with the space. In addition, visi-
tor feedback indicates challenges such as “difficulties in traversing uneven road surfaces”
and reports of “locked restrooms, rendering them inaccessible”. These issues may pose
inconveniences for the public when utilizing river corridors.
Users’ comprehensive assessments of the transportation conditions along the Hutuo
River Corridor indicate favorable perceptions: “The roads are relatively wide, with good
traffic conditions and convenient transportation”, and “Parking is free”. Many users use
self-driving to reach the Hutuo River corridor, as its expansive area allows flexible parking
opportunities. As one user expressed, “You can park along the way, stroll wherever you
would like, and stop whenever you desire”. Typically, “parking spaces are abundant”
during regular times. However, during peak seasons, parking resources may fall short
of meeting the heightened demand, leading some users to remark on the challenges of
overcrowding: “Too many people, too many cars, making parking difficult”. Therefore,
comprehensive considerations of traffic flow and parking requirements are essential in
planning and managing urban river corridors, ensuring visitors can enjoy convenient
transportation experiences at different times.
Extraction of high-frequency keywords revealed numerous nouns related to signs
and roads, including “Bridge”, “Street”, “Square”, “Avenue”, “Exhibition center”, and
“Landmark”. Many user comments enthusiastically shared specific locations along the
Hutuo River Corridor, offering valuable guidance to others. For instance, users provided
detailed directions such as “Turn right after crossing the Zilong Bridge, continue along the
scenic avenue, passing by many popular landmarks like the small train, beach, and flower
sea. Further ahead, you will find the beloved landmarks of Shijiazhuang”. Some users even
clarified the significance of the “Jizhiguang Tower” by stating, “Situated in the northern
outskirts of Shijiazhuang, the iconic ‘Jiziguang’ Tower stands prominently on the eastern
high slope. The tower ’s design creatively incorporates the abbreviation of Hebei Province,
the character ‘Ji,’ showcasing a marvelous conceptualization and unique style, reflecting
rich regional cultural elements”. These detailed location insights and route suggestions
not only assist tourists in exploring the Hutuo River Corridor more effectively but also
contribute to the overall accessibility of the region.
(5)
Distance
Giles-Corti et al.’s study revealed that distance influences whether and how residents
access natural spaces beyond a certain threshold [
106
]. Numerous empirical studies from
various countries have consistently demonstrated a decline in the frequency of visits to
green spaces with increasing distance [
107
–
109
]. Within this study, user comments on the
distance to the Hutuo River Corridor predominantly convey a sense of proximity, with
expressions such as “the journey is not far”, “approximately 10 km from the city center”, and
“a drive takes about 20 min”. These remarks underscore the relatively close geographical
location of the Hutuo River Corridor, enhancing residents’ willingness and frequency of
Appl. Sci. 2024,14, 4086 17 of 27
visitation. This underscores the importance, in urban planning, of integrating natural
spaces into the urban layout and ensuring their relative proximity for the convenience of a
broader population to access and enjoy these natural environments.
(6)
Transportation models
In land use and transportation studies, transportation modes are defined as the indi-
vidual’s choice of the degree to which they adopt specific means of reaching activities or
destinations [
110
]. Within user comments, there is a consensus recommending private car
usage for greater convenience, with expressions like “driving oneself is more convenient”
and “walking is also possible as the locations for each attraction are not too far apart”. How-
ever, due to the relatively expansive area, walking might be perceived as tiring. Visitors also
note potential traffic congestion during peak hours and the challenge of finding parking
spaces. Although options like taking Metro Line 1 to the Convention Center or utilizing
direct buses (77, 130, and 177) from the city center are available, they involve additional
walking, and public transit options have early cut-off times. Consequently, public transit
is deemed feasible but not ideal, especially during evening events when taxis are scarce.
Some users suggest cycling if the distance is not too far, as it allows flexible parking and is
not affected by traffic congestion. Cyclists are relatively common, and some prefer morning
rides along the Hutuo River Corridor, emphasizing its suitability for a round trip of 20 km
without disrupting daily routines. These diverse transportation comments underscore the
importance of convenience, comfort, and flexibility considerations.
(7)
Season
After February, the steady growth in the volume of comments may reflect a seasonal
trend in the Hutuo River Corridor. Figure 6illustrates increased comments during the
spring season, indicating a preference for visiting the corridor. The rise in temperature
during spring and the allure of seasonal landscapes contribute to this trend. Prior research
supports the notion that compared to colder months, individuals are inclined to engage
in outdoor activities during warmer months [
89
,
111
]. Therefore, after winter, “with the
warming weather, people are eager to step out of their homes, immerse themselves in
nature, and enjoy the beauty of spring”. As described in comment 1158: “With the arrival
of spring, everything comes back to life. Green leaves sprout from the branches, and small
flowers are about to bloom. The reeds by the river sway in the wind. Taking advantage of
the good weather, come out for a stroll with the kids”.
Appl. Sci. 2024, 14, x FOR PEER REVIEW 19 of 28
past Taihang Street, you can see it. Now the silver grass and chrysanthemums are in full
bloom”! While there may not be abundant descriptions of Autumn in the textual com-
ments, they tend to be cheerful: “Autumn is a beautiful season, featuring a particularly
eye-catching plant, the pink muhly grass. It is like dressing the earth in a magnificent red
carpet. “The river water sparkles in the sunlight, shimmering with a golden glow; the
leaves take on a touch of fiery red, gently swaying in the breeze as if nature has prepared
a scroll of painting for us”.
Research on winter leisure experiences indicates that seasonal environmental arib-
utes and weather can influence people’s outdoor leisure experiences [116]. Shijiazhuang,
experiencing distinct seasons, fully enters winter by December, with the grass turning
yellow. Some describe this scene as “everything desolate, leaving only barrenness”. This
result aligns with findings by Cheng et al. [117] in the Beijing region. Haggarty et al. [118]
aribute this to the shorter days and cold weather associated with winter. Additionally,
studies show that children are less active in winter compared to other seasons, particularly
in regions with cold and prolonged winters [119,120]. Parents often revolve their activities
around their children, contributing to the reduced number of visitors during the winter.
Nevertheless, some are still willing to come to the Hutuo River Corridor, “accompanying
the elderly, taking children for a winter stroll, enjoying the winter sun;” “If the weather is
good, take a walk by the river, or sit down for a cup of self-brought coffee, or brew a pot
of hot tea, basking in the sun. It is quite pleasant”.
Figure 6. Monthly number of comments on Shijiazhuang Hutuo River Corridor (2022–2023).
Figure 7. Seasonal number of comments on Shijiazhuang Hutuo River Corridor (2022–2023).
Figure 6. Monthly number of comments on Shijiazhuang Hutuo River Corridor (2022–2023).
The number of comments reached its peak in June. Figure 7illustrates that user
comments on the Hutuo River Corridor in Shijiazhuang are significantly higher in the
summer compared to other seasons. It has been reported that on hot summer days, the sight
Appl. Sci. 2024,14, 4086 18 of 27
of water induces a refreshing and cool sensation [
112
,
113
], as expressed in the comment:
“As soon as you get here, you can feel that the temperature is much lower than in the city”.
This experience attracts people to get as close to the river as possible [
114
]. Additionally,
certain social activities draw people to the area. For instance, the music fountain opens
during this time, becoming a highlight for enjoying the scenic Hutuo River Corridor on
summer nights. “The evening lights are colorful and magnificent, a perfect combination
of light, shadow, and music”. Previous research indicates that summer visitors are more
inclined to enjoy social relationships by the riverside, such as being accompanied by friends
or family [
74
]. One individual described the Hutuo River Corridor as “A treasure camping
ground perfect for gatherings with friends!” Therefore, social activities may contribute to
the heightened vibrancy of the Hutuo River Corridor during the summer.
Appl. Sci. 2024, 14, x FOR PEER REVIEW 19 of 28
past Taihang Street, you can see it. Now the silver grass and chrysanthemums are in full
bloom”! While there may not be abundant descriptions of Autumn in the textual com-
ments, they tend to be cheerful: “Autumn is a beautiful season, featuring a particularly
eye-catching plant, the pink muhly grass. It is like dressing the earth in a magnificent red
carpet. “The river water sparkles in the sunlight, shimmering with a golden glow; the
leaves take on a touch of fiery red, gently swaying in the breeze as if nature has prepared
a scroll of painting for us”.
Research on winter leisure experiences indicates that seasonal environmental arib-
utes and weather can influence people’s outdoor leisure experiences [116]. Shijiazhuang,
experiencing distinct seasons, fully enters winter by December, with the grass turning
yellow. Some describe this scene as “everything desolate, leaving only barrenness”. This
result aligns with findings by Cheng et al. [117] in the Beijing region. Haggarty et al. [118]
aribute this to the shorter days and cold weather associated with winter. Additionally,
studies show that children are less active in winter compared to other seasons, particularly
in regions with cold and prolonged winters [119,120]. Parents often revolve their activities
around their children, contributing to the reduced number of visitors during the winter.
Nevertheless, some are still willing to come to the Hutuo River Corridor, “accompanying
the elderly, taking children for a winter stroll, enjoying the winter sun;” “If the weather is
good, take a walk by the river, or sit down for a cup of self-brought coffee, or brew a pot
of hot tea, basking in the sun. It is quite pleasant”.
Figure 6. Monthly number of comments on Shijiazhuang Hutuo River Corridor (2022–2023).
Figure 7. Seasonal number of comments on Shijiazhuang Hutuo River Corridor (2022–2023).
Figure 7. Seasonal number of comments on Shijiazhuang Hutuo River Corridor (2022–2023).
Subsequently, there was a sharp decline in the number of comments, reaching a nadir
in August, primarily due to the impact of the flood season and high temperatures. During
this period, Shijiazhuang experienced its rainy season, particularly from 27 July to 2 August
2023, when heavy rainfall resulted from the combined influence of cold and warm air and
Typhoon Dujuan. This led to a significant rise in the Hutuo River’s water level, necessitating
the river corridor’s closure. Naturally, this had a considerable impact on visitors’ outings
and activities. One comment described it: “Because of the flood season, the Hutuo River
scenic area is blocked, many places are closed, and even under the bridges are sealed
off. Water is released into the river. So, there are very few people and cars”. Martín’s
research suggests that unfavorable weather conditions negatively affect thermal comfort,
posing obstacles to outdoor recreational activities [
115
]. In Shijiazhuang, with the average
temperature reaching 31–32
◦
C in August, users commonly expressed sentiments like “It is
too hot” and “Over thirty degrees is indeed not suitable for going out”.
In October, there is another minor peak in comments, driven by the blooming flower
sea during Autumn, attracting citizens who come eagerly to take photos and check in. One
person described it this month: “Following the scenic route of the flower sea, heading
east past Taihang Street, you can see it. Now the silver grass and chrysanthemums are
in full bloom”! While there may not be abundant descriptions of Autumn in the textual
comments, they tend to be cheerful: “Autumn is a beautiful season, featuring a particularly
eye-catching plant, the pink muhly grass. It is like dressing the earth in a magnificent red
carpet. “The river water sparkles in the sunlight, shimmering with a golden glow; the
leaves take on a touch of fiery red, gently swaying in the breeze as if nature has prepared a
scroll of painting for us”.
Research on winter leisure experiences indicates that seasonal environmental attributes
and weather can influence people’s outdoor leisure experiences [
116
]. Shijiazhuang, expe-
Appl. Sci. 2024,14, 4086 19 of 27
riencing distinct seasons, fully enters winter by December, with the grass turning yellow.
Some describe this scene as “everything desolate, leaving only barrenness”. This result
aligns with findings by Cheng et al. [
117
] in the Beijing region. Haggarty et al. [
118
] at-
tribute this to the shorter days and cold weather associated with winter. Additionally,
studies show that children are less active in winter compared to other seasons, particularly
in regions with cold and prolonged winters [
119
,
120
]. Parents often revolve their activities
around their children, contributing to the reduced number of visitors during the winter.
Nevertheless, some are still willing to come to the Hutuo River Corridor, “accompanying
the elderly, taking children for a winter stroll, enjoying the winter sun;” “If the weather is
good, take a walk by the river, or sit down for a cup of self-brought coffee, or brew a pot of
hot tea, basking in the sun. It is quite pleasant”.
(8)
Weather
People’s outdoor recreation is often affected by weather conditions. Visitors tend to
prefer outings during weather characterized by “clear skies”, “blue skies”, “comfortable
temperatures”, “coolness”, “neither too cold nor too hot”, “warmth”, “temperature rise”,
and “not too much sun”. In early spring, people enjoy moments when the weather is
“warm”, “clear with a vast sky”, “bright and beautiful”, “with blue skies and white clouds”,
and “gentle breezes”. It is a time for “soaking up the sun” and “breathing fresh air”, and
many express that “spring is the best season, not too cold or hot, suitable for barbecues”.
During summer and early autumn, individuals often complain about the “only drawback
being excessive sun exposure, feeling like the sun is roasting them” and that “not many
big trees, limited shade, and it is a bit too sunny in the summer”. Consequently, they
typically choose a day when the sun is not too intense, allowing for a full day of outdoor
activities. However, some may complain about “more mosquitoes in the afternoon after
rainfall and during cooler weather”. In late autumn and winter, people tend to stay indoors
with the arrival of cold air. Therefore, they only select days when the weather is “neither
too cold nor too hot, suitable for sunbathing”. Despite the management’s organization
of winter activities, which attracts many citizens, most still complain about “it being too
cold” and prefer to stay outdoors only briefly. Nevertheless, some individuals maintain
a positive attitude towards winter, appreciating the “icy Hutuo River in winter, which,
without flowers, still has its charm”, forming a “natural skiing ground”. This optimistic
perspective toward winter indicates that the Hutuo River attracts people seeking natural
enjoyment even in the cold season.
4. Discussion
4.1. Factors Influencing Recreational Experiences in Urban River Corridors
This study delves into the diverse perspectives of urban river corridor users regard-
ing the social and physical environmental factors influencing recreational experiences,
leveraging data obtained from online reviews. It reveals that urban river corridors attract
users for various purposes at different times, particularly during summer evenings, winter
nights, and tranquil mornings, appealing to numerous tourists and residents alike. This
phenomenon is intertwined with China’s work schedule constraints, as individuals often
prefer nearby free green spaces for outdoor leisure activities during weekends or holidays.
This observation finds affirmation in three similar studies conducted in China [
121
–
123
].
However, heightened visitor numbers during holidays and weekends underscore critical
issues related to parking, as emphasized in user comments. The availability of leisure
time significantly influences the duration of recreational activities along urban river corri-
dors [124], with prolonged stays often reflecting the allure of the landscape [69].
Various physical environmental factors influence users’ activities in urban river cor-
ridors, including natural surroundings, infrastructure, and ambiance [
125
]. The primary
qualities or benefits that attract individuals to green spaces or enable them to engage in
preferred activities are considered contributors to the biodiversity of natural environments
and landscape aesthetics [
126
], thereby enhancing aesthetic quality [
127
,
128
]. However,
unclean, disorderly, and substandard environments directly impact people’s physical
Appl. Sci. 2024,14, 4086 20 of 27
health and contribute to feelings of insecurity [
67
], potentially diminishing user satisfaction.
Therefore, maintaining cleanliness, orderliness, and high environmental quality along river
corridors is crucial for enhancing user experiences. Additionally, increasing tree canopy
cover provides biodiversity and creates a tranquil environment, attracting individuals
and positively influencing their interactions with nature [
72
,
129
]. However, earlier studies
suggest that dense vegetation may induce fear of crime [
130
,
131
], highlighting the need to
balance perceptions of safety and natural ambiance in the design of river corridors. This
study also yields conclusions not previously addressed in the literature. The lack of shade,
mosquito disturbances in summer, and climatic conditions on winter nights significantly
impact user experiences.
User engagement with urban river corridors is influenced by accessibility, including
the continuity of pathways and the availability of infrastructure [
132
]. Research indicates
that the accessibility of urban waterfront spaces is crucial for enhancing user experiences.
Due to China’s unique social system, the accessibility of urban waterfront spaces differs
from that in Western countries. For instance, the accessibility of urban river corridors in
China may not be influenced by land privatization, thus rendering the services and op-
portunities in waterfront spaces perceived as equitable. Numerous riverside development
initiatives emphasize the necessity of constructing uninterrupted pathways along water
bodies to significantly enhance accessibility [
133
,
134
]. Subramanian and Jana’s study [
135
]
confirms that universal design elements, such as paved walkways, universal entrances,
handrails, ramps, and tactile flooring, substantially enhance the perceived attractiveness of
leisure open space pathways. The availability of such infrastructure also crucially impacts
the accessibility of river corridors. Furthermore, in waterfront public areas, ample and
aesthetically pleasing wayfinding and signage facilities are essential for enhancing accessi-
bility, a point corroborated by Barnett et al.’s research [
136
]. Additionally, gaining in-depth
insights into the cultural background and geographical significance of landmark structures
enhances visitors’ cultural experiences during exploration. Therefore, urban planning and
infrastructure maintenance should prioritize continuity, minimize disruptions, and provide
ample and aesthetically pleasing wayfinding and signage facilities to ensure users can
access urban river corridors conveniently and smoothly.
4.2. Insights into Urban River Corridor Management
Despite visitors generally holding favorable opinions of urban river corridors, there
remains room for improvement. To address this situation, a series of measures should
be implemented to enhance user experience and environmental quality. Firstly, there is a
need to intensify management and maintenance efforts concerning vegetation, restrooms,
accessibility facilities, and recreational amenities to ensure the upkeep of the corridor’s
environmental quality. Secondly, managerial service levels, including fee reductions and
strengthened sanitation management, should be elevated to enhance service quality and
user satisfaction. Additionally, improving transportation convenience is imperative, ne-
cessitating the optimization of traffic management, the augmentation of parking spaces,
and the enhancement of parking management mechanisms, such as the introduction of
intelligent parking systems or the implementation of differential pricing policies [
137
,
138
].
Simultaneously, to bolster the connectivity of urban river corridors, optimizing public
transportation routes and installing bike lanes are necessary measures to enhance user
mobility. Through the collaborative efforts of government departments, urban planners,
community organizations, and the public, a more pleasant, convenient, and sustainable
environment for urban river corridors can be created, providing residents and tourists with
enhanced leisure experiences [139,140].
4.3. Strengths and Limitations
Traditionally, the influence of environmental factors on users of different types of
urban green spaces has been studied based on users’ socio-demographic characteristics,
often through surveys or interviews. However, this study takes a novel approach, inte-
Appl. Sci. 2024,14, 4086 21 of 27
grating the social-ecological model with qualitative analysis based on social media data, to
comprehensively investigate the social and physical factors affecting leisure experiences
along urban river corridors. This innovative method has proven to be meaningful [
141
,
142
],
offering a fresh perspective on the subject. By categorizing and analyzing social media data
thematically, this study delves into individuals’ subjective experiences and perceptions.
Utilizing extensive text data mining techniques, the research not only rapidly captures
environmental conditions and recreational experience demands but also helps bridge the
gap in public participation in landscape design processes. Ultimately, the study aims to
facilitate the provision of higher-quality urban river corridor services that meet citizen
expectations, promote urban sustainable development, and enhance the overall well-being
of urban residents.
While this study provides valuable insights, it also highlights the need for further
research. Firstly, the study primarily focuses on Shijiazhuang, an inland Chinese city
characterized by distinct seasons and limited water resources, raising concerns about the
generalizability of the findings to other cities. Although some common attributes may
apply across cultures based on evolutionary foundations, further research is necessary in
different regions. Secondly, social media users are predominantly composed of young and
middle-aged individuals and may not fully represent all demographic groups, excluding
certain populations who do not use applications. According to statistics from 2022 on
the age structure of Chinese internet users, individuals aged 60 and above account for
only 11.3% [
143
], indicating that the majority of older adults do not use the internet.
Consequently, relying solely on social media data may result in sample bias, capturing only
a portion of the population’s viewpoints and feedback. In future research and analysis,
it is essential to carefully consider this limitation and integrate other data sources to
ensure a more comprehensive and accurate understanding of different age groups, social
backgrounds, and usage habits. Additionally, due to the diversity of big data, the data
sources used in our study are limited. Therefore, future research should incorporate
multiple data sources to assess and improve the accuracy of the results. Your potential
contribution to this field is crucial in addressing these limitations and advancing our
understanding of urban river corridors.
5. Conclusions
This study employs data mining techniques to extract high-frequency keywords and
conduct topic and content analysis on online reviews sourced from Dianping. The primary
objective is to elucidate visitor perspectives and attitudes by tapping into the abundant
information in these comments. This study sheds light on visitor preferences, constraints, and
the transformative impact of ecological restoration projects on urban river corridors. Firstly,
while spring and summer attract more visitors, winter holds an appreciable attitude despite
less visitation. Visitors prefer weekends, evenings, and mornings, and the visiting time is
closely linked to weather conditions. Secondly, the Hutuo River Corridor receives widespread
acclaim among visitors, who express positive views on its natural environment, planning
and design, convenient facilities, and transportation conditions. Notably, the successful
implementation of the Hutuo River ecological restoration project has transformed the area
into an ideal place for citizens’ leisure and fitness activities. Thirdly, accessibility is a crucial
factor influencing visitor usage of the Hutuo River Corridor. Visitors generally perceive
transportation and parking convenience positively, although insufficient parking resources
may arise during peak seasons. Improving the accessibility of public transportation, especially
during peak hours, can facilitate more citizens’ reaching and enjoying the area conveniently.
Additionally, constraint factors are mentioned in user comments, such as staircase width,
limited space at the tower top, and various weather and seasonal considerations.
In conclusion, analyzing social media data offers profound insights into optimizing the
urban river corridor. Beyond the specific case, the findings suggest broader implications for
urban recreational spaces. It contributes to understanding visitor behavior, preferences, and
the importance of accessibility in enhancing urban recreational spaces’ usability. However,
Appl. Sci. 2024,14, 4086 22 of 27
several questions still need to be answered, such as the long-term sustainability of ecolog-
ical restoration projects and the potential impacts of climate change on visitor patterns.
Future research could explore these aspects further. Furthermore, this study underscores
the significance of integrating visitor feedback into urban planning and management pro-
cesses to enhance public space accessibility and visitor experiences. Recommendations for
blue–green infrastructure practices, management strategies, and sustainable development
initiatives can be drawn from these insights, contributing to advancing the field of urban
blue–green space management and design.
Supplementary Materials: The following supporting information can be downloaded at: https://www.
mdpi.com/article/10.3390/app14104086/s1, Table S1. High-frequency feature words in user reviews of
the Hutuo River Corridor in Shijiazhuang (urban section): top 100 rankings. Table S2. Frequency list of
LDA feature words for each theme (top 30). Table S3. LDA theme description and comment examples.
Author Contributions: Conceptualization and methodology, L.S., S.M. and C.D.; writing—original
draft preparation, L.S.; formal analysis, investigation, and data curation, L.S.; validation, S.M.,
M.J.M.Y. and C.D.; writing—review and editing, S.M., M.J.M.Y. and C.D.; supervision, S.M. and
M.J.M.Y. All authors have read and agreed to the published version of the manuscript.
Funding: This research received no external funding.
Institutional Review Board Statement: The study was conducted in accordance with the Declaration
of Helsinki, and approved by the Ethics Committee for Research involving Human Subjects of
University Putra Malaysia (protocol code JKEUPM-2023-1338).
Informed Consent Statement: Informed consent was obtained from all subjects involved in the study.
Data Availability Statement: The original contributions presented in the study are included in the
article/Supplementary Material, further inquiries can be directed to the corresponding author.
Acknowledgments: We would like to thank all the literature and previous research cited in this study.
Their work has provided a solid foundation for our review, enabling us to delve deeper into the
issues relevant to this field.
Conflicts of Interest: The authors declare no conflicts of interest.
References
1. Xue, W.; Wang, J. The research of urban river way development. Shandong For. Sci. Technol. 2008,38, 4.
2.
Bratman, G.N.; Anderson, C.B.; Berman, M.G.; Cochran, B.; De Vries, S.; Flanders, J.; Daily, G.C. Nature and mental health: An
ecosystem service perspective. Sci. Adv. 2019,5, eaax0903. [CrossRef]
3.
Paneerchelvam, P.T.; Maruthaveeran, S.; Maulan, S.; Shukor, S.F.A. The use and associated constraints of urban greenway from a
socioecological perspective: A systematic review. Urban For. Urban Green. 2020,47, 126508. [CrossRef]
4.
Janiszek, M.; Krzysztofik, R. Green Infrastructure as an Effective Tool for Urban Adaptation—Solutions from a Big City in a
Postindustrial Region. Sustainability 2023,15, 8928. [CrossRef]
5.
Ji, P.; Zhu, C.Y.; Li, S.H. Effects of the different structures of green belts on the temperature and humidity in river corridors. Sci.
Silvae Sin. 2012,48, 58–65.
6.
Apan, A.A.; Raine, S.R.; Paterson, M.S. Mapping and analysis of changes in the riparian landscape structure of the Lockyer Valley
catchment, Queensland, Australia. Landsc. Urban Plan. 2002,59, 43–57. [CrossRef]
7.
Fabos, J.G. Introduction and overview: The greenway movement, uses and potentials of greenways. Landsc. Urban Plan. 1995,33,
1–13. [CrossRef]
8.
Gunawardena, K.R.; Wells, M.J.; Kershaw, T. Utilising green and bluespace to mitigate urban heat island intensity. Sci. Total
Environ. 2017,584, 1040–1055. [CrossRef]
9.
Hathway, E.A.; Sharples, S. The interaction of rivers and urban form in mitigating the Urban Heat Island effect: A UK case study.
Build. Environ. 2012,58, 14–22. [CrossRef]
10.
Kantartzis, A.; Varras, G.; Kakourp, P.; Koutsikou, M.; Papadopoulou, A.; Gogolou, C. Greenway planning and management of
urban riparian corridors: The alternative basis for an integrated system of urban green spaces. case study: Riparian corridors in
the city of Igoumenitsa, Greece. WSEAS Trans. Environ. Dev. 2006,2, 1016–1021.
11. Kenwick, R.A.; Shammin, M.R.; Sullivan, W.C. Preferences for riparian buffers. Landsc. Urban Plan. 2009,91, 88–96. [CrossRef]
12.
Singh, R.; Tiwari, A.K.; Singh, G.S. Managing riparian zones for river health improvement: An integrated approach. Landsc. Ecol.
Eng. 2021,17, 195–223. [CrossRef]
Appl. Sci. 2024,14, 4086 23 of 27
13.
Gunn, C.A. Urban rivers as recreation resources. In USDA Forest Service General Technical Report NC; North Central Forest
Experiment Station, Forest Service, U.S. Department of Agriculture: St. Paul, MN, USA, 1977.
14.
Logsdon, J.; Mosler, S. Re-amplification of the River as an Urban Signature. Proceedings, International IAPS-CSBE & HOUSING
Network 2009. p. 1. Available online: https://www.researchgate.net/publication/341869082_Re-amplification_of_the_River_as_
an_Urban_Signature_A_case_for_reconnecting_urban_river_landscapes_in_Eastern_England (accessed on 1 April 2024).
15.
Bele, P.; Chakradeo, D.U. Exploring Attributes of Public Open Spaces Through Users’ Perceptions at Lakefront Spaces of Nagpur
City. In Ujwala, Exploring Attributes of Public Open Spaces Through Users’ Perceptions at Lakefront Spaces of Nagpur City (31 July 2020);
Institute of Scholars (InSc): Bengaluru, India, 2020.
16.
Silva, J.B.; Saraiva, M.G.; Ramos, I.L.; Bernardo, B. Methodology of Aesthetic Evaluation of Rivers in Urban Context. In Proceedings
of the Urban River Rehabilitation Conference, Dresden, Germany, 21–24 September 2005; pp. 5–6.
17.
Zainal Abidin, N.A. Assessing the Landscape Character of Malaysia’s Heritage Urban River Corridors. Ph.D. Thesis, Queensland
University of Technology, Brisbane, Australia, 2017.
18.
Asakawa, S.; Yoshida, K.; Yabe, K. Perceptions of urban stream corridors within the greenway system of Sapporo, Japan. Landsc.
Urban Plan. 2004,68, 167–182. [CrossRef]
19. Cengiz, B. Urban river landscapes. In Advances in Landscape Architecture; IntechOpen: London, UK, 2013.
20. Grahn, P.; Stigsdotter, U.A. Landscape planning and stress. Urban For. Urban Green. 2003,2, 1–18. [CrossRef]
21.
Vaeztavakoli, A.; Lak, A.; Yigitcanlar, T. Blue and green spaces as therapeutic landscapes: Health effects of urban water canal
areas of Isfahan. Sustainability 2018,10, 4010. [CrossRef]
22.
De Vries, S.; Van Dillen, S.M.; Groenewegen, P.P.; Spreeuwenberg, P. Streetscape greenery and health: Stress, social cohesion and
physical activity as mediators. Soc. Sci. Med. 2013,94, 26–33. [CrossRef] [PubMed]
23.
Ekkel, E.D.; de Vries, S. Nearby green space and human health: Evaluating accessibility metrics. Landsc. Urban Plan. 2017,157,
214–220. [CrossRef]
24.
‘Yotti’ Kingsley, J.; Townsend, M. ‘Dig in’to social capital: Community gardens as mechanisms for growing urban social
connectedness. Urban Policy Res. 2006,24, 525–537. [CrossRef]
25.
Garcia, X.; Gottwald, S.; Benages-Albert, M.; Pavón, D.; Ribas, A.; Vall-Casas, P. Evaluating a web-based PPGIS for the
rehabilitation of urban riparian corridors. Appl. Geogr. 2020,125, 10234. [CrossRef]
26.
Pouya, S.; Baskaya, F.A.T. Residents’ Perceptions of Riverine Landscape Changes; Case Study of Beykoz Stream/Istanbul. Anadolu
Univ. J. Sci. Technol. A-Appl. Sci. Eng. 2018,19, 253–266. [CrossRef]
27. Chou, R.J. Achieving successful river restoration in dense urban areas: Lessons from Taiwan. Sustainability 2016,8, 1159. [CrossRef]
28.
Garcia, X.; Benages-Albert, M.; Pavón, D.; Ribas, A.; Garcia-Aymerich, J.; Vall-Casas, P. Public participation GIS for assessing
landscape values and improvement preferences in urban stream corridors. Appl. Geogr. 2017,87, 184–196. [CrossRef]
29.
Zainal Abidin, N.A.; Lee, G. Methodology for Evaluating the Landscape Character of Malaysian Heritage Urban River Corridors.
In Proceedings of the First International Conference on Engineering, Designing and Developing the Built Environment for Sustainable
Wellbeing; Queensland University of Technology: Brisbane, Australia, 2011; pp. 27–29.
30.
Eden, S.; Tunstall, S. Ecological versus social restoration? How urban river restoration challenges but also fails to challenge the
science–policy nexus in the United Kingdom. Environ. Plan. C Gov. Policy 2006,24, 661–680. [CrossRef]
31.
Junker, B.; Buchecker, M. Aesthetic preferences versus ecological objectives in river restorations. Landsc. Urban Plan. 2008,85,
141–154. [CrossRef]
32.
Nilsson, C.; Jansson, R.; Malmqvist, B.; Naiman, R.J. Restoring riverine landscapes: The challenge of identifying priorities,
reference states, and techniques. Ecol. Soc. 2007,12, 16. [CrossRef]
33. Pak, A.; Paroubek, P. Twitter as a corpus for sentiment analysis and opinion mining. LREc 2010,10, 1320–1326.
34.
Van Zanten, B.T.; Van Berkel, D.B.; Meentemeyer, R.K.; Smith, J.W.; Tieskens, K.F.; Verburg, P.H. Continental-scale quantification
of landscape values using social media data. Proc. Natl. Acad. Sci. USA 2016,113, 12974–12979. [CrossRef] [PubMed]
35.
Chen, M.S.; Ko, Y.T.; Lee, L.H. The relation between urban riverbank reconstruction and tourism attractiveness shaping-A case
study of love river in kaohsiung, taiwan. J. Asian Archit. Build. Eng. 2018,17, 353–360. [CrossRef]
36.
Dodman, D.R. Shooting in the city: An autophotographic exploration of the urban environment in Kingston, Jamaica. Area 2003,
35, 293–304. [CrossRef]
37. Naidoo, P.; Ramseook-Munhurrun, P.; Li, J. Scuba diving experience and sustainability: An assessment of online travel reviews.
Gaze J. Tour. Hosp. 2018,9, 43–52. [CrossRef]
38.
Wang, G.X. The Impact of Urban Park Landscape Pattern on Cultural Service Perception in Jinan Based on Social Media Data.
Ph.D. Thesis, Shandong Jianzhu University, Jinan, China, 2022.
39.
Li, J.Y. Urban Image Research Based on Social Media Data: A Case Study of Wuhan Main Urban Area. Master ’s Thesis, South
University, Shenzhen, China, 2021.
40. Mao, M.R. Big data application in urban planning: The thinking and practice from BICP. Urban Plan. Int. 2014,6, 51–57.
41.
Cong, L.; Wu, B.; Morrison, A.M.; Shu, H.; Wang, M. Analysis of wildlife tourism experiences with endangered species: An
exploratory study of encounters with giant pandas in Chengdu, China. Tour. Manag. 2014,40, 300–310. [CrossRef]
42.
Choi, S.; Lehto, X.Y.; Morrison, A.M. Destination image representation on the web: Content analysis of Macau travel related
websites. Tour. Manag. 2007,28, 118–129. [CrossRef]
Appl. Sci. 2024,14, 4086 24 of 27
43.
Shen, X.; Zhang, J.G. Web-based text analysis of tourism image perception of Shaoxing Mirror Lake National Urban Wetland
Park. J. Zhejiang A F Univ. 2018,35, 145–152.
44.
Wartmann, F.M.; Acheson, E.; Purves, R.S. Describing and comparing landscapes using tags, texts, and free lists: An interdisci-
plinary approach. Int. J. Geogr. Inf. Sci. 2018,32, 1572–1592. [CrossRef]
45.
Koblet, O.; Purves, R.S. From online texts to Landscape Character Assessment: Collecting and analysing first-person landscape
perception computationally. Landsc. Urban Plan. 2020,197, 103757. [CrossRef]
46.
Sim, J.; Miller, P. Understanding an urban park through big data. Int. J. Environ. Res. Public Health 2019,16, 3816. [CrossRef] [PubMed]
47.
Plunz, R.A.; Zhou, Y.; Vintimilla, M.I.C.; Mckeown, K.; Yu, T.; Uguccioni, L.; Sutto, M.P. Twitter sentiment in New York City parks
as measure of well-being. Landsc. Urban Plan. 2019,189, 235–246. [CrossRef]
48.
Roberts, H.; Sadler, J.; Chapman, L. Using Twitter to investigate seasonal variation in physical activity in urban green space. Geo
Geogr. Environ. 2017,4, e00041. [CrossRef]
49.
Fang, M.J.; Zheng, Y.D.; Xia, Z.J.; Yan, H.; Shao, F. Spatial and temporal variation characteristics of tourists emotions based on big
data of microblog—A case study of Xixi National Wetland Park in Hangzhou. J. Southwest Univ. (Natl. Sci. Ed.) 2020,42, 156–164.
50.
Walmsley, D.J.; Lewis, G.J. People and Environment: Behavioural Approaches in Human Geography; Routledge: Park Abingdon, UK, 2014.
51.
Dunlap, R.E.; Catton, W.R., Jr. What environmental sociologists have in common (whether concerned with “built” or “natural”
environments). Sociol. Inq. 1983,53, 113–135. [CrossRef]
52.
Sallis, J.F.; Cervero, R.B.; Ascher, W.; Henderson, K.A.; Kraft, M.K.; Kerr, J. An ecological approach to creating active living
communities. Annu. Rev. Public Health 2006,27, 297–322. [CrossRef] [PubMed]
53.
Urban Master Plan of Shijiazhuang City (2011–2020). Available online: https://www.sjz.gov.cn/zfxxgk/columns/77594014-91df-
4b39-b76a-d81d651f627b/202004/20/c2a98dc4-b621-40cf-aba9-3d908e92212d.html (accessed on 3 March 2018).
54.
Top 10 Monthly Active Users Ranking of Lifestyle and Leisure Apps in China for 2022. Available online: https://www.iimedia.
cn/c880/91716.html (accessed on 23 October 2023).
55. Blei, D.M.; Ng, A.Y.; Jordan, M.I. Latent dirichlet allocation. J. Mach. Learn. Res. 2003,3, 993–1022.
56.
Yang, Y.; Zhang, K.; Fan, Y. Sdtm: A supervised bayesian deep topic model for text analytics. Inf. Syst. Res. 2023,34, 137–156.
[CrossRef]
57.
Yang, R.Q. Social Media Data-Based Post Occupancy Evaluation on the High Line Park. Master ’s Thesis, Huazhong University of
Science & Technology, Wuhan, China, 2021.
58. Wang, P.; Gao, C.; Chen, X.M. Research on LDA model based on text clustering. Inf. Sci. 2015,33, 6.
59.
Liu, Q.; Jia, H. Research and prospects of automatic word segmentation technology in Chinese information processing. Comput.
Eng. Appl. 2006,42, 175–177+182.
60.
Guan, P.; Wang, R.F. Identifying Optimal Topic Numbers from Sci-Tech Information with LDA Model. New Technol. Libr. Inf. Serv.
2016,32, 42–50.
61.
Azzopardi, L.; Girolami, M.; Van Risjbergen, K. Investigating the Relationship between Language Model Perplexity and IR
Precision-Recall Measures. In Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development
in Informaion Retrieval, Toronto, ON, Canada, 28 July–1 August 2003; pp. 369–370.
62.
Zhao, R.Y.; Dai, Y.P.; Wang, X. Scholarly influence assessment based on LDA model and ATM model: A case study of nuclear
physics discipline in China. J. Inf. Sci. 2019,37, 3–9.
63.
Huang, Y.; Li, J.; Hao, H.; Xu, L.; Nicholas, S.; Wang, J. Seasonal and monthly patterns, weekly variations, and the holiday effect
of outpatient visits for type 2 diabetes mellitus patients in China. Int. J. Environ. Res. Public Health 2019,16, 2653. [CrossRef]
64.
Chenyang, D.; Maruthaveeran, S.; Shahidan, M.F. The usage, constraints and preferences of green space at disadvantage
neighbourhood: A review of empirical evidence. Urban For. Urban Green. 2022,75, 127696. [CrossRef]
65.
Sreetheran, M.; Van Den Bosch, C.C.K. A socio-ecological exploration of fear of crime in urban green spaces—A systematic review.
Urban For. Urban Green. 2014,13, 1–18. [CrossRef]
66.
Wang, M.; Hou, X.; Wang, F.; Wang, J. Influencing Mechanism of Ecological Aesthetic Preference on Urban River Ecological
Restoration: A Case Study of Kunshan, Jiangsu Province. Landsc. Archit. Front. 2019,10, 040.
67.
Dai, C.; Maruthaveeran, S.; Shahidan, M.F.; Chu, Y. Landscape Preference Evaluation of Old Residential Neighbourhoods: A Case
Study in Shi Jiazhuang, Hebei Province, China. Forests 2023,14, 375. [CrossRef]
68.
Shi, Z. A Study on the Social Work Intervention of “Micro-Autonomy” in Urban Old Community Based on the Practice of YZ
Community in Wuhan City. Master’s Thesis, Central China Normal University, Wuhan, China, 2017.
69.
Chen, Y.; Jia, B.; Wu, J.; Liu, X.; Luo, T. Temporal and Spatial Attractiveness Characteristics of Wuhan Urban Riverside from the
Perspective of Traveling. Land 2022,11, 1434. [CrossRef]
70.
Garrett, J.K.; White, M.P.; Huang, J.; Ng, S.; Hui, Z.; Leung, C.; Wong, M.C. Urban blue space and health and wellbeing in Hong
Kong: Results from a survey of older adults. Health Place 2019,55, 100–110. [CrossRef] [PubMed]
71.
Liu, X.; Chen, X.; Huang, Y.; Wang, W.; Zhang, M.; Jin, Y. Landscape Aesthetic Value of Waterfront Green Space Based on
Space–Psychology–Behavior Dimension: A Case Study along Qiantang River (Hangzhou Section). Int. J. Environ. Res. Public
Health 2023,20, 3115. [CrossRef] [PubMed]
72.
Luo, H.; Deng, L.; Song, C.; Jiang, S.; Huang, Y.; Wang, W.; Li, X. Which characteristics and integrations between characteristics in
blue–green spaces influence the nature experience? J. Environ. Plan. Manag. 2022,66, 1253–1279. [CrossRef]
Appl. Sci. 2024,14, 4086 25 of 27
73.
Mansournia, S.; Bahrami, B.; Farahani, L.M.; Aram, F. Understanding children’s perceptions and activities in urban public spaces:
The case study of Zrêbar Lake Waterfront in Kurdistan. Urban Stud. 2021,58, 372–388. [CrossRef]
74.
Vierikko, K.; Yli-Pelkonen, V. Seasonality in recreation supply and demand in an urban lake ecosystem in Finland. Urban Ecosyst.
2019,22, 769–783. [CrossRef]
75.
Wang, Y.; Dewancker, B.J.; Qi, Q. Citizens’ preferences and attitudes towards urban waterfront spaces: A case study of Qiantang
riverside development. Environ. Sci. Pollut. Res. 2020,27, 45787–45801. [CrossRef]
76.
Zhang, Q.; Lee, J.; Jiang, B.; Kim, G. Revitalization of the Waterfront Park Based on Industrial Heritage Using Post-Occupancy
Evaluation—A Case Study of Shanghai (China). Int. J. Environ. Res. Public Health 2022,19, 9107. [CrossRef]
77.
Chan, K.M.; Goldstein, J.; Satterfield, T.; Hannahs, N.; Kikiloi, K.; Naidoo, R.; Woodside, U. Cultural services and non-use values.
Nat. Cap. Theory Pract. Mapp. Ecosyst. Serv. 2011, 206–228. [CrossRef]
78.
Rohde, C.L.E.; Kendle, A.D. Human Well-Being, Natural Landscapes and Wildlife in Urban Areas a Review. 1994. Available
online: https://philpapers.org/rec/ROHHWN (accessed on 1 April 2024).
79.
He, M.; Wang, Y.; Wang, W.J.; Xie, Z. Therapeutic plant landscape design of urban forest parks based on the Five Senses Theory:
A case study of Stanley Park in Canada. Int. J. Geoheritage Parks 2022,10, 97–112. [CrossRef]
80. Sakici, C. Assessing landscape perceptions of urban waterscapes. Anthropologist 2015,21, 182–196. [CrossRef]
81.
Völker, S.; Kistemann, T. Developing the urban blue: Comparative health responses to blue and green urban open spaces in
Germany. Health Place 2015,35, 196–205. [CrossRef] [PubMed]
82.
Manson, J.E.; Hu, F.B.; Rich-Edwards, J.W.; Colditz, G.A.; Stampfer, M.J.; Willett, W.C.; Hennekens, C.H. A prospective study of
walking as compared with vigorous exercise in the prevention of coronary heart disease in women. N. Engl. J. Med. 1999,341,
650–658. [CrossRef]
83.
Sundquist, K.; Qvist, J.; Johansson, S.E.; Sundquist, J. The long-term effect of physical activity on incidence of coronary heart
disease: A 12-year follow-up study. Prev. Med. 2005,41, 219–225. [CrossRef]
84.
Warburton, D.E.; Nicol, C.W.; Bredin, S.S. Health benefits of physical activity: The evidence. Cmaj 2006,174, 801–809. [CrossRef]
[PubMed]
85.
Cattell, V.; Dines, N.; Gesler, W.; Curtis, S. Mingling, observing, and lingering: Everyday public spaces and their implications for
well-being and social relations. Health Place 2008,14, 544–561. [CrossRef]
86.
Oster, C.; Adelson, P.L.; Wilkinson, C.; Turnbull, D. Inpatient versus outpatient cervical priming for induction of labour:
Therapeutic landscapes and women’s preferences. Health Place 2011,17, 379–385. [CrossRef]
87.
Hartig, T.; Staats, H. The need for psychological restoration as a determinant of environmental preferences. J. Environ. Psychol.
2006,26, 215–226. [CrossRef]
88.
Ezennia, I.S.; Uwajeh, P.C.; Irouke, V.M. User perception of neighbourhood parks and open spaces: A case of Karakol, North
Cyprus. Int. J. Sci. Tech. Res 2017,6, 263–269.
89.
Tucker, P.; Gilliland, J. The effect of season and weather on physical activity: A systematic review. Public Health 2007,121, 909–922.
[CrossRef]
90.
Gong, M.; Ren, M.; Dai, Q.; Luo, X. Aging-suitability of urban waterfront open spaces in gongchen bridge section of the grand
canal. Sustainability 2019,11, 6095. [CrossRef]
91.
Rantanen, T.; Portegijs, E.; Viljanen, A.; Eronen, J.; Saajanaho, M.; Tsai, L.T.; Rantakokko, M. Individual and environmental factors
underlying life space of older people–study protocol and design of a cohort study on life-space mobility in old age (LISPE). BMC
Public Health 2012,12, 1–17. [CrossRef]
92.
Halkos, G.; Leonti, A.; Sardianou, E. Activities, motivations and satisfaction of urban parks visitors: A structural equation
modeling analysis. Econ. Anal. Policy 2021,70, 502–513. [CrossRef]
93.
Bedimo-Rung, A.L.; Mowen, A.J.; Cohen, D.A. The significance of parks to physical activity and public health: A conceptual
model. Am. J. Prev. Med. 2005,28, 159–168. [CrossRef]
94.
Liu, J.; Xiong, Y.; Wang, Y.; Luo, T. Soundscape effects on visiting experience in city park: A case study in Fuzhou, China. Urban
For. Urban Green. 2018,31, 38–47. [CrossRef]
95.
Rice, W.L.; Newman, P.; Zipp, K.Y.; Taff, B.D.; Pipkin, A.R.; Miller, Z.D.; Pan, B. Balancing quietness and freedom: Support for
reducing road noise among park visitors. J. Outdoor Recreat. Tour. 2022,37, 100474. [CrossRef]
96. Rodrigues, R.C. Quiet areas and urban sustainability. Energy Procedia 2018,153, 334–341. [CrossRef]
97.
Watts, G. The effects of “greening” urban areas on the perceptions of tranquillity. Urban For. Urban Green. 2017,26, 11–17. [CrossRef]
98. Raimbault, M.; Dubois, D. Urban soundscapes: Experiences and knowledge. Cities 2005,22, 339–350. [CrossRef]
99. Peng, J.; Zhao, H.; Liu, Y. Urban ecological corridors construction: A review. Acta Ecol. Sin. 2017,37, 23–30. [CrossRef]
100.
Jiang, Y.; Shi, T.; Gu, X. Healthy urban streams: The ecological continuity study of the Suzhou creek corridor in Shanghai. Cities
2016,59, 80–94. [CrossRef]
101.
Che, Y.; Yang, K.; Chen, T.; Xu, Q. Assessing a riverfront rehabilitation project using the comprehensive index of public accessibility.
Ecol. Eng. 2012,40, 80–87. [CrossRef]
102.
Gobster, P.H.; Westphal, L.M. The human dimensions of urban greenways: Planning for recreation and related experiences.
Landsc. Urban Plan. 2004,68, 147–165. [CrossRef]
103.
Börger, T.; Campbell, D.; White, M.P.; Elliott, L.R.; Fleming, L.E.; Garrett, J.K.; Taylor, T. The value of blue-space recreation and
perceived water quality across Europe: A contingent behaviour study. Sci. Total Environ. 2021,771, 145597. [CrossRef]
Appl. Sci. 2024,14, 4086 26 of 27
104.
Cheng, Y.; Zhang, J.; Wei, W.; Zhao, B. Effects of urban parks on residents’ expressed happiness before and during the COVID-19
pandemic. Landsc. Urban Plan. 2021,212, 104118. [CrossRef]
105.
Mecredy, G.; Pickett, W.; Janssen, I. Street connectivity is negatively associated with physical activity in Canadian youth. Int. J.
Environ. Res. Public Health 2011,8, 3333–3350. [CrossRef]
106.
Giles-Corti, B.; Broomhall, M.H.; Knuiman, M.; Collins, C.; Douglas, K.; Ng, K.; Donovan, R.J. Increasing walking: How important
is distance to, attractiveness, and size of public open space? Am. J. Prev. Med. 2005,28, 169–176. [CrossRef]
107.
Coombes, E.; Jones, A.P.; Hillsdon, M. The relationship of physical activity and overweight to objectively measured green space
accessibility and use. Soc. Sci. Med. 2010,70, 816–822. [CrossRef]
108.
Haeffner, M.; Jackson-Smith, D.; Buchert, M.; Risley, J. Blue” space accessibility and interactions: Socio-economic status, race, and
urban waterways in Northern Utah. Landsc. Urban Plan 2017,167, 136–146. [CrossRef]
109.
Martínez, L.M.; Viegas, J.M. A new approach to modelling distance-decay functions for accessibility assessment in transport
studies. J. Transp. Geogr. 2013,26, 87–96. [CrossRef]
110. Geurs, K.T.; Van Wee, B. Accessibility evaluation of land-use and transport strategies: Review and research directions. J. Transp.
Geogr. 2004,12, 127–140. [CrossRef]
111.
Hamilton, S.L.; Clemes, S.A.; Griffiths, P.L. UK adults exhibit higher step counts in summer compared to winter months. Ann.
Hum. Biol. 2008,35, 154–169. [CrossRef]
112.
Burmil, S.; Daniel, T.C.; Hetherington, J.D. Human values and perceptions of water in arid landscapes. Landsc. Urban Plan. 1999,
44, 99–109. [CrossRef]
113.
Yamashita, S. Perception and evaluation of water in landscape: Use of Photo-Projective Method to compare child and adult
residents’ perceptions of a Japanese river environment. Landsc. Urban Plan. 2002,62, 3–17. [CrossRef]
114.
Völker, S.; Kistemann, T. Reprint of: “I’m always entirely happy when I’m here!” Urban blue enhancing human health and
well-being in Cologne and Düsseldorf, Germany. Soc. Sci. Med. 2013,91, 141–152. [CrossRef]
115. Martín, M.B.G. Weather, climate and tourism a geographical perspective. Ann. Tour. Res. 2005,32, 571–591. [CrossRef]
116.
Gatti, E.T.; Brownlee, M.T.; Bricker, K.S. Winter recreationists’ perspectives on seasonal differences in the outdoor recreation
setting. J. Outdoor Recreat. Tour. 2022,37, 100366. [CrossRef]
117.
Cheng, S.; Zhai, Z.; Sun, W.; Wang, Y.; Yu, R.; Ge, X. Research on the Satisfaction of Beijing Waterfront Green Space Landscape
Based on Social Media Data. Land 2022,11, 1849. [CrossRef]
118.
Haggarty, P.; McNeill, G.; Manneh, M.A.; Davidson, L. The influence of exercise on the energy requirements of adult males in the
UK. Br. J. Nutr. 1994,72, 799–813. [CrossRef]
119. Ross, J.G. The national children and youth fitness study: A summary of findings. Recreation Dance Special Insert. J. Phys. Educ.
1985,56, 43–90.
120.
Stephens, T.; Craig, C.L.; Ferris, B.F. Adult physical activity in Canada: Findings from the Canada Fitness Survey I. Can. J. Public
Health = Rev. Can. De Sante Publique 1986,77, 285–290.
121.
Ding, J.; Luo, L.; Shen, X.; Xu, Y. Influence of built environment and user experience on the waterfront vitality of historical urban
areas: A case study of the Qinhuai River in Nanjing, China. Front. Archit. Res. 2023,12, 820–836. [CrossRef]
122.
Liu, S.; Lai, S.Q.; Liu, C.; Jiang, L. What influenced the vitality of the waterfront open space? A case study of Huangpu River in
Shanghai, China. Cities 2021,114, 103197. [CrossRef]
123.
Wu, J.; Li, J.; Ma, Y. A comparative study of spatial and temporal preferences for waterfronts in Wuhan based on gender
differences in check-in behavior. ISPRS Int. J. Geo-Inf. 2019,8, 413. [CrossRef]
124.
Gargiulo, I.; Benages-Albert, M.; Garcia, X.; Vall-Casas, P. Perception assessment of environmental factors related to leisure-time
physical activity in an urban stream corridor. Leis. Stud. 2020,39, 688–705. [CrossRef]
125.
Vasiljevi´c, Ð.A.; Vujiˇci´c, M.D.; Stankov, U.; Dragovi ´c, N. Visitor motivation and perceived value of periurban parks-Case study of
Kamenica park, Serbia. J. Outdoor Recreat. Tour. 2023,42, 100625. [CrossRef]
126.
Misiune, I.; Julian, J.P.; Veteikis, D. Pull and push factors for use of urban green spaces and priorities for their ecosystem services:
Case study of Vilnius, Lithuania. Urban For. Urban Green. 2021,58, 126899. [CrossRef]
127.
Bahriny, F.; Bell, S. Patterns of urban park use and their relationship to factors of quality: A case study of Tehran, Iran. Sustainability
2020,12, 1560. [CrossRef]
128.
Brownson, R.C.; Baker, E.A.; Housemann, R.A.; Brennan, L.K.; Bacak, S.J. Environmental and policy determinants of physical
activity in the United States. Am. J. Public Health 2001,91, 1995–2003. [CrossRef]
129.
Jahani, A.; Saffariha, M. Aesthetic preference and mental restoration prediction in urban parks: An application of environmental
modeling approach. Urban For. Urban Green. 2020,54, 126775. [CrossRef]
130.
Kuo, F.E.; Sullivan, W.C. Environment and crime in the inner city: Does vegetation reduce crime? Environ. Behav. 2001,33, 343–367.
[CrossRef]
131.
Kuo, F.E.; Bacaicoa, M.; Sullivan, W.C. Transforming inner-city landscapes: Trees, sense of safety, and preference. Environ. Behav.
1998,30, 28–59. [CrossRef]
132.
Nicholls, S. Measuring the accessibility and equity of public parks: A case study using GIS. Manag. Leis. 2001,6, 201–219. [CrossRef]
133. Lindsey, G. Use of urban greenways: Insights from Indianapolis. Landsc. Urban Plan. 1999,45, 145–157. [CrossRef]
134.
Gospodini, A. Urban waterfront redevelopment in Greek cities: A framework for redesigning space. Cities 2001,18, 285–295.
[CrossRef]
Appl. Sci. 2024,14, 4086 27 of 27
135.
Subramanian, D.; Jana, A. Assessing urban recreational open spaces for the elderly: A case of three Indian cities. Urban For. Urban
Green. 2018,35, 115–128. [CrossRef]
136.
Barnett, J.; Beasley, L.; Barnett, J.; Beasley, L. Designing and Managing the Public Realm. In Ecodesign for Cities and Suburbs; Island
Press: Washington, DC, USA, 2015; pp. 149–208.
137.
Eslamipoor, R. A Biobjective Model for Integrated Inventory and Transportation at Tactical and Operational Levels with Green
Constraints. IEEE Trans. Eng. Manag. 2023, 1–12. [CrossRef]
138.
Eslamipoor, R. Direct and indirect emissions: A bi-objective model for hybrid vehicle routing problem. J. Bus. Econ. 2024,94,
413–436. [CrossRef]
139.
Su, Y.; Zhu, C.; Lin, L.; Wang, C.; Jin, C.; Cao, J.; Li, T.; Su, C. Assessing the Cultural Ecosystem Services Value of Protected Areas
Considering Stakeholders’ Preferences and Trade-Offs—Taking the Xin’an River Landscape Corridor Scenic Area as an Example.
Int. J. Environ. Res. Public Health 2022,19, 13968. [CrossRef] [PubMed]
140.
Paveglio, T.B.; McGown, B.; Wilson, P.I.; Krumpe, E.E. The Wild and Scenic Rivers Act at 50: Managers’ views of actions, barriers
and partnerships. J. Outdoor Recreat. Tour. 2022,37, 100459. [CrossRef]
141.
Dashper, K.; Brymer, E. An ecological-phenomenological perspective on multispecies leisure and the horse-human relationship in
events. Leis. Stud. 2019,38, 394–407. [CrossRef]
142.
Humbert, M.L.; Chad, K.E.; Bruner, M.W.; Spink, K.S.; Muhajarine, N.; Anderson, K.D.; Gryba, C.R. Using a naturalistic ecological
approach to examine the factors influencing youth physical activity across grades 7 to 12. Health Educ. Behav. 2008,35, 158–173.
[CrossRef]
143.
Analysis of 2022 China Internet User Demographics: The Highest Proportion Falls within the Age Group of 30–39 (Chart).
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