R.Y.M. Li

shue yan university

Fast infrastructure development boosts the demand for shotcrete. Despite sand and stone being the most common coarse and fine aggregates for shotcrete, excessive exploration of these materials challenges the ecological environment. This study utilized an industrial solid waste, high-titanium heavy slag, blended with steel fibers to form Wet Shotcre...

Purpose-Global climate change speeds up ice melting and increases flooding incidents. China launched a sponge city policy as a holistic nature-based solution combined with urban planning and development to address flooding due to climate change. Using Weibo analytics, this paper aims to study public perceptions of sponge city. Design/methodology/a...

Despite the exponential growth in the popularity of artificial intelligence (AI), our knowledge on the public perception of AI, especially in the context of local government services, is still limited. To bridge this gap, this study aims to provide empirical evidence and insights into public perceptions concerning the use of AI in local government...

Digital technologies are used in various local government activities. Adopting suitable digital technology strategies could enhance service efficiency, effectiveness, and accountability. The challenges of technology adoption among local governments, however, are also evident. One of the major challenges is capacity, including the lack of knowledge...

This Special Issue of the Journal of Urban Technology will expand scholarly knowledge by curating interdisciplinary state-of-the-art research on the general topic of ‘Smart Technologies for Urban Energy Systems’. The Special Issue welcomes theoretical and empirical research articles along with literature studies on the following themes, while other...

Precise inventory prediction is the key to goods inventory and safety management. Accurate inventory prediction improves enterprises’ production efficiency. It is also essential to control costs and optimize the supply chain’s performance. Nevertheless, the complex inventory data are often chaotic and nonlinear; high data complexity raises the accu...

The construction industry has been experiencing many occupational accidents as working on construction sites is dangerous. To reduce the likelihood of accidents, construction companies share the latest construction health and safety news and information on social media. While research studies in recent years have explored the perceptions towards th...

Tourism safety is essential for tourists and tourism practitioners. This study conducted a bibliometric analysis using VOSviewer and CiteSpace for 2018 articles indexed on the Web of Science (WoS). It also analysed 7293 Weibo posts between 1977 and 2022 using Python, MYSQL, AI sentiment, and Tableau. The first tourism safety publication on WoS appe...

Subway operation safety management has become increasingly important due to the severe consequences of accidents and interruptions. As the causative factors and accidents exhibit a complex and dynamic interrelationship, the proposed subway operation accident causation network (SOACN) could represent the actual scenario in a better way. This study u...

A positive and robust destination image endows a competitive advantage. As architecture appeals to tourists, it may be helpful to improve people’s perceptions of a place’s image. Social media cultivates the destination image. This study focused on the interrelationship of architectural heritage and destination image and aimed to investigate the pot...

Despite the continuous improvement in the research and development of concrete precast composite slab technology, problems like easy cracks and excessive weight at the joints remain. In this study, high-titanium heavy slag was mixed with different kinds of ceramsite to prepare ceramsite lightweight high-titanium heavy slag concrete. The joint of th...

Globalization and the international labor movement made the ability to work anywhere globally. These individuals are usually organizational expatriates (OEs) deployed to overseas assignments by their employers or self-initiated expatriates (SIEs) who choose to relocate and work in a foreign country. Therefore, this study examines and contrasts the...

Real-world data is often partial, uncertain, or incomplete. Decision making based on data as such can be addressed by fuzzy sets and related systems. This article studies the intuitionistic multi-fuzzy sub-near rings and Intuitionistic multi-fuzzy ideals of near rings. It presents some of the elementary operations and relations defined on these str...

China has pledged to become carbon neutral by 2060 and has employed a variety of strategies to minimize carbon emissions. As people’s support to achieve the carbon neutrality goal affects its success, this study reviewed the public’s perception of carbon neutrality via cluster analysis on microposts. The co-occurrence matrix showed 258 nodes and 3,...

Task scheduling plays a crucial role in cloud computing and is a key factor determining cloud computing performance. To solve the task scheduling problem for remote sensing data processing in cloud computing, this paper proposes a workflow task scheduling algorithm-Workflow Task Scheduling Algorithm based on Deep Reinforcement Learning (WDRL). The...

The green leadership (GL) concept has significantly gained popularity over the last decade. Consequently, more research has been conducted on this emerging leadership concept, emphasizing leadership styles that promote the green environment so that sustainable goals can be achieved. In the present research, leaders' emotional intelligence (EI) is p...

The world’s population is getting older these days. Frailty, a gerontologic health condition associated with ageing, has serious consequences. One crucial remedy for the elderly population is the development of ageing-in-place infrastructures. To better understand the market requirements for ageing housing units, the causes of downsizing and the go...

In this chapter, we conducted a survey on various stakeholders' perceptions of Social Exchange Theory, Perceived Organizational Support and Exchange's impact on construction safety. Many safety & environmental officers consider favourable job conditions the most crucial factor and then social rewards and morality. As per engineers, surveyors, and m...

Due to the absence of the original building plan, low foreseeability and work environment uncertainty, workers do not have time to read building structure documents and specific work requirements and underestimate the complexity of the work; working for a refurbishment project is not safer than that for a new building. This study reviewed the const...

To understand the global research status in construction hazard awareness, this research studied articles indexed on the Web of Science by using the keywords “construction hazard awareness”, “real estate hazard”, “hazard recognition”, and “urban renewal hazard”. There were 2182 articles indexed on the Web of Science from 2011 to 2021. The US record...

Unsafe behaviour and a lack of safety awareness are critical factors that cause accidents. This study reviewed journal papers on safety awareness in various industries, food, passengers, laboratories, and patients. Among the few databases, Web of Science and Scopus recorded the most articles, followed by Emerald, Science Direct, Taylor & Francis, O...

Safety training enhances hazard awareness in the construction industry. Its effectiveness is a component of occupational safety and health. While face-to-face safety training has dominated in the past, the frequent lockdowns during COVID-19 have led us to rethink new solutions. A chatbot is messaging software that allows people to interact, obtain...

The present study explores the effect of supply chain integration on the operational performance of an internet-based online business based in China. The study is based on primary data collected through a questionnaire distributed to supply chain professionals of the stated companies. After distributing the questionnaire and collecting the response...

The discussion on employee burnout (BOT) has existed in academic literature for a long time. While BOT was identified as a personal issue, there is a lack of a system approach solution. In this regard, a milestone was achieved in 2019 when the World Health Organization (WHO) introduced a new definition of BOT, recognising it as an occupational phen...

The growing number of aging populations has become a major problem worldwide. Nursing homes play an essential role in the later life of older adults. Previous research indicated potential associations between external factors and older adults' intention to live in nursing homes. However, intrinsic motivation has yet to be fully understood. This art...

One major change in the modern construction industry worldwide in recent years is moving toward prefabricated buildings (offsite construction) to achieve sustainable development. Despite an increase in attention to ESG due to global stock markets’ requirements and prefabricated buildings aid industries in achieving the ESG goal, few or even no rese...

To reduce carbon emission and enhance social development simultaneously, “Environmental, Social and Governance” (ESG) plays a significant role in supply chain management. The study collected 2,400 financial data and ESG performance of 200 companies from the Clean 200 list of global public companies from 2019 to 2021. It aimed to: 1) evaluate green...

This paper uses the SBM-GML model to measure and evaluate green total factor productivity based on the panel data of 30 provinces and cities in China from 2012 to 2018. It examines the impact of different dimensions of financial decentralisation on green total factor productivity. The research results show that: 1) green total factor productivity i...

The positive effects of corporate social responsibility (CSR) on professional sports organizations’ (PSO) sustainable development have been studied in developed markets, e.g., the major four leagues in North America. To assess if CSR has similar effects on the emerging market, this study collected 373 questionnaires among the Chinese Basketball Ass...

This study explores how YouTube facilitates construction safety knowledge sharing. It contributes to knowledge by applying two-step flow theory, social network analysis, and semantic analysis to explore the video network and investigate how sentiment affects users' viewing and commenting behaviours. By conducting data mining and interactive visuali...

Purpose This paper aims to provide a comprehensive bibliometric study of housing prices according to the articles collected by the Web of Science (WOS). Design/methodology/approach This paper studies 4,125 research papers on housing prices in the core collection database of WOS. Using VOSviewer, this paper makes a bibliometric and visual analysis...

Artificial intelligence (AI) deployment is exceedingly relevant to local governments, for example, in planning and delivering urban services. AI adoption in urban services, however, is an understudied area, particularly because there is limited knowledge and hence a research gap on the public's perceptions-users/receivers of these services. This st...

Plants have a long history and diverse species. They play a critical role in the ecological chain, human production and life. With a vast territory, China has rich plant species and complex geographical regions, and research on the distribution of plant diversity in China is significant for utilising, developing, and protecting biological resources...

Carbon neutrality is one of the most critical global concerns at present. As one of the largest social media, Twitter is used widely by individuals, organisations, and government agencies to share their comments and perceptions on carbon neutrality. This study collected 26425 English and 20331 French tweets to compare the differences between French...

A carbon-neutral city is one of the most critical topics in carbon neutrality. To study the general public and professionals’ focus, we analysed the posts on Weibo and LinkedIn through Pycharm, Navicat Premium, KHCoder, and Tableau. This study included 1908 microposts (14,668 sentences) on Weibo and 533 posts (3733 sentences) on LinkedIn. On Weibo,...

The construction industry is one most hazardous industry, and construction hazard awareness is a major concern and vital at work. This paper compared 11829 construction safety and health hazard awareness Weibo microposts and 769 articles indexed in Web of Science (WoS) from 1900 to 2021. It compared different foci between academia and laypeople by...

Housing safety and health problems threaten owners' and occupiers' safety and health. Nevertheless, there is no systematic review on this topic to the best of our knowledge. This study compared the academic and public opinions on housing safety and health and reviewed 982 research articles and 3,173 author works on housing safety and health publish...

Despite the People's Republic of China government being the most aggressive in pursuing the carbon neutrality goal, it remains the world's largest carbon emitter and polluting country. This study used 31 provinces' panel data from 2010 to 2019 to compare fiscal decentralization's impact on regional carbon emissions. It applied SBM-DEA undesirable m...

The aims of this study were threefold: 1) study the research gap in carpark and price index via big data and natural language processing, 2) examine the research gap of carpark indices, and 3) construct carpark price indices via repeat sales methods and predict carpark indices via the AutoML. By researching the keyword “carpark” in Google Scholar,...

The Chinese government set a goal in 2009 to cut carbon emissions by 40–45 percent of 2005 GDP per unit by 2020. The role of fiscal decentralization reform in strengthening environmental governance has gained importance. This paper explored the impact of fiscal decentralization reform from 2010 to 2019 on carbon dioxide emissions in China. We utili...

This paper explored the factors that affect housing prices as per Chinese articles indexed in the Chinese Science Citation Database. There were different foci regarding what drove housing prices in China in Chinese articles, and international journal articles in English and most previous English articles only threw light on international research....

This article examines the impact of heterogeneous environmental regulations on urban green innovation using panel data from 285 prefecture-level cities in mainland China from 2008 to 2019. From the perspective of green patents, this article utilizes a twoway fixed-effect model and the mediation effect model to examine the mechanism of the impact of...

In the COVID-19 pandemic, it is essential to transport medical supplies to specific locations accurately, safely, and promptly on time. The application of drones for medical supplies delivery can break ground traffic restrictions, shorten delivery time, and achieve the goal of contactless delivery to reduce the likelihood of contacting COVID-19 pat...

Based on new policies and social changes, renewable energies have highly penetrated electrical systems, making the system more vulnerable than before. On the other hand, it leads to congestion and competition within the network. To this end, this paper developed a probabilistic multi-objective-based congestion management approach and applied it to...

This book covers artificial intelligence and ubiquitous cities. It discusses the applications of the relevant tools in bringing revolutionary new lives to mankind. It showcases various applications of artificial intelligence in benefiting human society. For example, AI classification shortens the human time required for classifying court cases; hum...

Recent research argues that robots could replace workers in dangerous work environments to reduce occupational injuries. However, robot development and usage in most developing countries remain at an infant stage, robots may increase the likelihood of occupational injuries due to conditions such as limited human capital and defects. By using a city...

Housing research is one of the hot topics in many countries. This paper provides a quick review of the housing economics research in the US, Sweden, Latvia, China, Corsica, and Italy published in this special issue. Bao and Shah studied the effects of home-sharing platforms in general and the effects of the US’ Airbnb on neighbourhood rent. Wilhelm...

To understand the social structure of English and French Tweets of occupational safety and their sentiment distributions, this study applied NodeXL and MeaningCloud to analyse 17147 English Tweets and 16618 French Tweets about “occupational safety” on Twitter. We found that French and English Twitter users who are interested in these topics did not...

Artificial intelligence (AI) is a powerful technology with a range of capabilities, which are beginning to become apparent in all industries nowadays. The increased popularity of AI in the construction industry, however, is rather limited in comparison to other industry sectors. Moreover, despite AI being a hot topic in built environment research,...

Sustainability has been increasingly advocated by the global construction industry due to the need to minimise the industry’s adverse impacts. An important area when focusing on sustainability is the issue of project management teams since they are involved from the project’s inception to its completion. Many studies have investigated and advocated...

The construction industry contributes significantly to economic development worldwide, yet it is one of the most hazardous industries where numerous accidents and fatalities happen every year. Little research to date has shed light on the impact of economic development on construction safety research. In this paper, we conduct an analysis of constr...

With the rapid development of artificial intelligence and upgrading of the Internet of things, mobile social networks have increasingly become an important social platform for the public to spread and share information, maintain relationships as social engagement. However, the disclosure of users' privacy information in mobile social networks has b...

Artificial intelligence (AI) is a powerful technology that can be utilized throughout a construction project lifecycle. Transition to incorporate AI technologies in the construction industry has been delayed due to the lack of know-how and research. There is also a knowledge gap regarding how the public perceives AI technologies, their areas of app...

Due to hectic city lives and the growing importance of health concerns, mountain tourism has become popular worldwide, increasing related research. The study obtained 1,413 mountain tourism journal articles via bibliometrics and identified the most influential journal articles, scholars and countries in mountain tourism research indexed in the Web...

Medical image segmentation plays an important role in clinical diagnosis, quantitative analysis, and treatment process. Since 2015, U-Net-based approaches have been widely used for medical image segmentation. The purpose of the U-Net expansive path is to map low-resolution encoder feature maps to full input resolution feature maps. However, the con...

In recent years, automation via deep learning/machine learning has flourished. As such, automated valuation will likely become a major task in valuation over the coming years. While most studies in industry/academia utilise multivariate regression for housing price predictions, we aim to introduce explainable AutoML models (H2O AutoML and Google Cl...

A smart home provides residents with medical care, life assistance, security, and environmental sustainability. At the same time, automation technology has become the core part of innovative home technology that includes the Internet of Things, artificial intelligence and blockchain. This research uses a big data approach to extract and analyze the...

The Chief Executive's Policy addresses direct Hong Kong moving towards a smart city. Although the smart home is one of the major features in smart city, understanding on smart home is limited among lay people in Hong Kong. Elderly and disabled persons are no exception. The smart home gadgets are useful among these two special groups. For example, a...

For years, the hedonic regression model has dominated housing price research worldwide. However, the hedonic regression model suffered from the problem of over-simplification and heterogeneity. Machine learning has become a hot method in housing price prediction in recent years. The machine learning method in predicting housing prices is more accur...

Education is an indispensable part of everyone's life. It lays the ground for the future generation and is a prerequisite for an independent life. It also determines the future of a country and a nation, and affects a country’s development. With the advancement of technology, the world has tremendous changes. People have changed their lifestyles an...

AI development has affected many industries over the last decade. For example, EmBot uses AI to search legal precedents in patent disputes and identify cancer in magnetic resonance images. In addition to AI, there is rapid development in ubiquitous technology for u-city. Ubiquitous refers to the ability to exist everywhere and be everywhere simulta...

Construction accidents often lead to injuries, pain, loss of future earnings and even deaths. One way to lower the likelihood of accidents is to levy high compensation on wrongdoers, including main contractors, subcontractors and even the workers who fail to take safety measures or are careless. Under the common law system, precedents are part of t...

According to “Huang's law”, Artificial intelligence (AI)-related hardware increases in power 4–10 times per year. AI can benefit various stages of real estate development, from planning and construction to occupation and demolition. However, Hong Kong's legal system is currently behind when it comes to technological abilities, while the field of AI...

Construction practitioners make decisions about safety risks that can be subjective and prone to error. The trained computer object detection provides a standardised method to deal with this issue, but it typically relies on many photos to train one object, which is costly and time-consuming. This project proposes a new algorithm to train a compute...

As mountain-based health and wellness tourism increases, destination competitiveness becomes ever fiercer. The pre-visit expectations and post-visit perceptions of tourists and the tourists’ behavioral intentions are related to the competitiveness of mountain-based health and wellness tourist destinations. Using structural equation modeling (SEM),...

In this study, the root sources contributing to the urban heat island (UHI) effect between megacities, such as Hong Kong and Shenzhen, were integrated and compared using satellite remote sensing data. Classification and multilayer perceptron regression tree (CARTMLP) algorithms were used to classify land use. The radiative transfer equation method...