The space distance distribution of the riverside area of Wuhan.

The space distance distribution of the riverside area of Wuhan.

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Improving the attractiveness of urban waterfronts has become an important objective to promote economic development and improve the environmental quality. However, few studies have focused on the inherent characteristics of urban waterfront attractiveness. In this study, mobile phone signaling data and the TOPSIS (Technique for Order Preference by...

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... space distance indicator is a measure of the distance traveled by a user, indicating the ability of a research unit to attract people from distant places. As shown in Figure 5, the research units with a high space distance in the riverside area of Wuhan had regional aggregation characteristics, especially the transportation hub such as the research units where the Qingchuan and Zhonghualu Docks are located, which had the highest space distance value, followed by the research unit where high-quality landscape parks and residential areas such as Hankou River Beach Park Phase IV and Baishazhou Bridge River Beach were located. The space distance distributions during weekends and weekdays were similar, but the space distance of the landscape parks and cultural spots during weekends was higher than that during the weekdays, indicating that people were willing to access the city's riverside area for activities on the weekends. ...

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... The studies mentioned above predominantly conducted small-scale, regional-quality evaluations of public spaces, often based on specific infrastructure types [42][43][44][45]. When evaluating public space quality, horizontal quality assessments on a larger urban scale remain relatively rare. ...
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Quality assessment of public spaces is critical in sustainably enhancing urban spatial quality. Existing studies focus on fundamental indicators (e.g., geographic accessibility, planning rationality, and social benefits) and often rely on geographic big data as the primary research input. However, multidimensional interactive analyses that integrate users, places, and spatial configurations are often lacking, making it hard to capture actual user needs and satisfaction levels precisely. To address this issue, we propose a multi-source data-driven approach for spatial quality evaluation, where three types of data (user satisfaction (people), points of interest (places), and urban morphology (space)) are combined. Through a comprehensive comparison of nine representative high-quality waterfront public spaces with multi-source data, common characteristics that are crucial for assessing waterfront public space quality in urban contexts have been analyzed and discussed. The results reveal three key factors significantly influencing waterfront public space quality: the spatial distribution, land-use attributes, and proportion of types of service facilities. First, service facilities with the highest user satisfaction tend to exhibit clustered spatial patterns. Second, municipal and commercial functions play a leading role in spatial quality. Thirdly, a suitable ratio of service facility types is advantageous for enhancing user satisfaction. Therefore, a comprehensive evaluation requires consideration of facility distributions, urban morphologies, and surrounding land-use functions. The proposed multi-source data-driven approach holds great potential for developing innovative and sustainable waterfront design strategies.
... For example, seating areas and fitness equipment placed at the center of residential areas or at crossroads can attract more residents to rest and exercise. Second, the diversity and distribution of POIs attract different groups of people [16,17]. Elderly individuals tend to choose quiet, well-equipped resting areas, while younger people and children prefer active spaces like fitness equipment and playgrounds. ...
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Although it is well established that thermal environments significantly influence travel behavior, the synergistic effects of points of interest (POI) and thermal environments on behavior remain unclear. This study developed a vision-based outdoor evaluation model aimed at uncovering the driving factors behind human behavior in outdoor spaces. First, Yolo v5 and questionnaires were employed to obtain crowd activity intensity and preference levels. Subsequently, target detection and clustering algorithms were used to derive variables such as POI attractiveness and POI distance, while a validated environmental simulator was utilized to simulate outdoor thermal comfort distributions across different times. Finally, multiple classification models were compared to establish the mapping relationships between POI, thermal environment variables, and crowd preferences, with SHAP analysis used to examine the contribution of each variable. The results indicate that XGBoost achieved the best predictive performance (accuracy = 0.95), with shadow proportion (|SHAP| = 0.24) and POI distance (|SHAP| = 0.12) identified as the most significant factors influencing crowd preferences. By extrapolation, this classification model can provide valuable insights for optimizing community environments and enhancing vitality in areas with similar climatic and cultural contexts.
... The unified superior plan guides the development and construction within the boundary, and its spatial development and facility configuration are relatively co-ordinated. Therefore, concerning the established studies [10,47], this paper divides the waterfront space of Xiangjiang River into 28 research zones using the urban arterial road as the dividing line, which can accurately reflect the degree of spatial openness and vitality intensity of different research zones. The specific zoning is shown in Figure 1b. ...
... The unified superior plan guides the development and construction within the boundary, and its spatial development and facility configuration are relatively co-ordinated. Therefore, concerning the established studies [10,47], this paper divides the waterfront space of Xiangjiang River into 28 research zones using the urban arterial road as the dividing line, which can accurately reflect the degree of spatial openness and vitality intensity of different research zones. The specific zoning is shown in Figure 1b ...
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To alleviate the contradiction between high-density urban spatial environments and high-frequency citizens’ activities, it is vital to determine the degree of openness of waterfront space, figure out the matching relationship between spatial openness and vitality intensity, identify imbalanced spatial zones and divide the order of intervention, and compensate for the limitations of subjective judgment in traditional planning decisions. This paper uses the Changsha Xiangjiang River waterfront space as a research sample based on multi-source data. It constructs the evaluation indicators system and research framework for the degree of openness of waterfront space. Then, by evaluating the openness and vitality intensity of the waterfront space and adopting the quadrant division method, waterfront space zones with a mismatched openness and vitality intensity were identified. Finally, planning interventions are prioritized based on a priority index. The results show the following: (1) The openness and vitality of the waterfront space of Xiangjiang River show the spatial distribution characteristics of “high in the middle and low in the north and south” and “high on the east bank and low on the west bank”. (2) Fifteen low-quality waterfront spatial zones with “low vitality intensity and low openness” and one with a severe imbalance of “low openness–high vitality intensity” were identified. These waterfront spatial zones cannot meet the requirements for the high-quality development of waterfront space. (3) The study delineates five priority levels for planning interventions. Among them, three waterfront space zones belong to priority V, mainly distributed north and south of the Xiangjiang River. Five waterfront spatial zones belonging to priority IV are concentrated in the middle of the Xiangjiang River. The above areas need to be prioritized for improvement to accurately promote the overall balanced development of the waterfront space.
... 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. ...
... 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 corridors [124], with prolonged stays often reflecting the allure of the landscape [69]. ...
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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.
... The region boasts an intricate F I G U R E 6 The results of a linear regression analysis of the FF for the visual elements against the six perceptual dimensions show the top 10 objects with the greatest positive/negative contribution for each perception type. Beta coefficient (**p < 0.01,***p < 0.001) network of rivers and extensive water conservancy facilities, earning its reputation as the "bridge capital" of China (Chen et al., 2022;Lin & Liu, 2012). This shows that the hydrological and hydraulic features of Wuhan city, such as river and lake landscapes and bridge projects, have positive guiding effects on people's mental health. ...
... This shows that the hydrological and hydraulic features of Wuhan city, such as river and lake landscapes and bridge projects, have positive guiding effects on people's mental health. This conclusion was better confirmed in the study by Chen et al. (2022). ...
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Understanding the spatial distribution patterns of urban perception and analyzing the correlation between human emotional perception and street composition elements are important for accurately understanding how people interact with the urban environment, urban planning, and urban management. Previous studies on urban perception using street view data have not fully considered the actual level of attention to different visual elements when browsing street view images. In this article, we use eye tracking technology to collect eye movement data and subjective perception evaluation data when people browse street view images, and analyze the correlation between the time to first fixation, duration of first fixation, and fixation frequency of different visual elements and the six perceptual outcomes of wealthy, safe, lively, beautiful, boring, and depressing. Furthermore, this article integrates eye movement data with street view semantic data and introduces a novel method for predicting urban perception using a machine learning algorithm. The proposed method outperforms a comparative model that solely relies on semantic data, exhibiting higher accuracy in perception prediction. Additionally, the study presents a perceptual mapping of the prediction results, providing a visual representation of the predicted urban perception outcomes. As vision is the primary perceptual channel, this study achieves a more objective and scientifically reliable urban perception, which is of reference value for the study of physical and mental health due to the urban physical environment.
... Landscape Online 98 (2024) 1121 | dors (Garrett et al., 2019;Luo et al., 2022;Van Hecke et al., 2016). Conversely, uncivil behaviours such as graffiti, littering, and the presence of troublesome individuals can impede usage (Eid et al., 2021;Smith et al., 2022;Vert et al., 2019). ...
... Moreover, 19 studies (32%) specifically examined the duration of visitor stays. The majority of these studies indicated that visitors spend approximately one hour on urban river corridors (Garrett et al., 2019;Liu et al., 2023;Luo et al., 2022;Mansournia et al., 2021;Rakonjac et al., 2022;Vierikko & Yli-Pelkonen, 2019;Wang et al., 2020;Zhang et al., 2022b). Some individuals seeking proximity to the water may invest several hours sitting along the riverbank, observing the water flow (Völker & Kistemann, 2013). ...
... Multiple studies reveal that urban river corridors exhibit higher vibrancy during weekends than on weekdays (Ding et al., 2023;Grzyb & Kulczyk, 2023;Liu et al., 2021;Wu et al., 2019b). However, Chen et al. (2022) present contrasting findings, indicating lower spatial density during weekends. Significant differences in visitor numbers during daytime and nighttime were noted (Chen & Ma, 2023;Giannakis et al., 2016;Rakonjac et al., 2022). ...
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River corridors, acknowledged as "blue-green infrastructure," have gained increasing attention due to their potential benefits on individual quality of life and social well-being in urban areas. However, there remains a lack of a comprehensive synthesis of evidence through a systematic literature review on the usage and associated constraints of urban river corridors. The paper aims to systematically review those attributes that influence the usage of urban river corridors and to analyse their complex interactions from a socio-ecological perspective. Results comprise an overview of the reviewed literature, including authorship, journal, geographical distribution, sample characteristics, data collection and analysis methods, and critical findings. Fifty-nine peer-reviewed papers published between 2012 and 2023 met the authors' inclusion criteria. The findings highlight the significant influence of individual, social, and physical factors on the usage of urban river corridors. Additionally, time reason also impact users' decisions regarding the usage of urban river corridors. Finally, a conceptual framework was proposed to guide urban planners, designers, and policymakers in enhancing urban river corridors' design and management standards, ultimately creating a sustainable, resilient, and inclusive leisure space catering to diverse needs.
... Since some of those influential factors are latent, travel impedance (e.g. travel time and distance) and the supply capacity (e.g. the number of physicians and sickbeds) are often used as proxies to evaluate the attractiveness of a hospital (Chen et al., 2022b). Previous efforts like the 3SFCA and Huff-2SFCA provide extensive frameworks to integrate these attraction indicators to measure the population's selection probability to different service sites (Luo, 2014;Wan et al., 2012). ...
... Visitation counts and travel distance are two common indicators in existing studies for measuring the popularity of a facility. Higher visitation counts and longer travel distances tend to associate with higher popularity (Chen et al., 2022b;Wang et al., 2021b). To combine the visitation counts and travel distance in a single indicator, we introduced the idea of h-index 1 that enables a comprehensive analysis of mobility data by considering visitation count and travel distance simultaneously (Alonso et al., 2009). ...
... Wuhan City, known as the city of a hundred lakes, has experienced the encroachment and filling of a large number of water bodies into construction land and widespread water pollution due to economic development and population increase in recent years [45,46]. In 2014, Wuhan City revised the "Wuhan Lake Protection Regulations" and implemented the strictest measures to protect and enhance the ecological landscape function of lakes [47,48]. In the period from 2010 to 2020, besides whether within the scope of the master plan, distance to water bodies and regional water bodies were the main factors influencing the transformation from the urban fringe to the urban core. ...
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The urban fringe is the transitional area from rural form to urban form, and it is also the urban space reserve land in the Territorial Spatial Plan. However, few researchers predict its overall evolution and guide the implementation of the Territorial Spatial Plan. This study attempts to explore the dynamic evolution law of urban fringe, analyze its driving factors, predict its future development, and put forward management suggestions for the implementation of the Territorial Spatial Plan. In this paper, the land use data of Wuhan in 2000, 2010 and 2020 are applied to delimit the urban fringe area of Wuhan by means of a sliding t-test. Fifteen driving factors are selected from three dimensions, natural factors, socio-economic factors and traffic accessibility, and brought into the Logistic model to explore the driving factors of its spatial evolution. The CA–Markov model is used to predict the fringe area of Wuhan in 2035. The results show that the transformation of rural hinterland into urban fringe is obviously affected by the distance from railway stations, highways, commercial centers and urban main roads. It is predicted that the outer boundary of Wuhan’s fringe area in 2035 will be basically the same as the planned urban development boundary. In order to realize the intention of land space planning, the development and construction of the northwest of the Huangpi District, the East Lake Scenic Area, and the west side of the Jiangxia District should be restricted. From the perspective of the evolution of the fringe area, this paper puts forward some management suggestions for the implementation of the Territorial Spatial Plan and makes a beneficial attempt in theory and method to understand the development characteristics of the fringe area and promote the implementation of the Territorial Spatial Plan.
... A public vitality index can quantitatively describe the ability of a space in terms of attracting and supporting public activities. Relevant research based on the theory of landscape environmental behavior and landscape psychology has been carried out in the fields of type classification, vitality grading, and characteristic analysis of urban landscape public vitality, and PVI is also widely used in waterfront spaces, urban parks, and greenways, etc. [48,49]. Behavioral observation is the most commonly used method in research on public vitality and is carried out by investigating people's behavior and perceptions to obtain the relevant public vitality index. ...
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In the context of high-quality urban development and the increasingly important role of urban green infrastructure (UGI) in public life, landscape activity (LA) has gradually become a dominant indicator for improving UGI quality and efficiency, as well as optimizing its environmental friendliness and meeting the recreational needs of the public. Relevant studies have shown that the ecological index (EI) and the public vitality index (PVI) can characterize LA from the perspectives of greening quality and public activities, respectively, and their simultaneous analysis can provide professional judgment and quantitative technical approaches for the LA analysis of UGI. At the same time, with the support of remote sensing, big data, GIS, and other spatial information data, the LA model coupling EI and PVI of UGI needs to be developed. First, this article established a research framework for UGI landscape activity, and by combining environmental remote sensing and location-based services (LBS) technology, a technical LA measurement strategy suitable for the coupled analysis of EI and PVI was formed. Then, based on the MATLAB platform and the entropy-weighted TOPSIS model, this research developed a fusion analysis algorithm of EI and PVI to establish the LA model, taking the central urban area of Zhongshan as a case study. Finally, four-quadrant classification and quantitative grading of LA were developed based on the ArcGIS platform. Empirical research showed that the UGI area of the study area was about 176.43 km2, and 160 UGI units were identified. The minimum LA value is 0.06, and the maximum is 0.85. The LA of UGI in the study area can be divided into three grades: low (0–0.24), medium (0.24–0.46), and high (0.46–0.85). Among them, the top 5% of UGI units mainly correspond to urban parks and waterfront greenways, and the bottom 5% mainly correspond to islands and farmland. The quantitative distribution of UGI in the four quadrants of LA in the study area is relatively balanced: among them, the number of high-quality developing types is the largest, accounting for 29.4%, and that of high-quality mature types is the least, accounting for 20.0%. This article forms a concise model and technical process for the LA of UGI, which can be used for its quantitative analysis and evaluation. It is expected that the research result will be significant for the high-quality construction of UGI and the sustainable development of the urban landscape in terms of research and exploration.