Directory

Li Rita - Academia.edu

Skip to main content

Li Rita

Followers

69

Following

9

Public Views

Kurniawati Darmaningrum

Fallah Samuel Kassoh

M D University,Rohtak

Francisco Cisternas

American University in Cairo

Evonella Pangaribuan

Sebelas Maret University

Interests

Uploads

Papers by Li Rita

Health-driven mechanism of organic food consumption: A structural equation modelling approach

hELIYON, 2024

The COVID-19 pandemic seriously threatened human survival and development. It has also highlighte... more The COVID-19 pandemic seriously threatened human survival and development. It has also highlighted the significant correlation between ecological and public health. After three years of the COVID pandemic, Chinese consumers have become more aware of the importance of health. Especially in the Internet era, consumers' purchasing methods and health awareness have been changed. Consumers can buy nutritious and organic foods. To understand the impact of consumer psychology and health beliefs on the willingness to purchase organic food in the post-pandemic period, this study uses organic beef as an example and extracts key variables from three basic theories. The three basic theories include the Health Belief Model (HBM), the Theory of Planned Behavior (TPB), and the Norm Activation Model (NAM), respectively. Specifically, perceived susceptibility and severity are combined to form a health belief variable that can drive organic food purchasing. In contrast, perceived benefit, moral norms, self-efficiency, and controllability are introduced as mediating variables to construct the health driving factors of organic beef purchasing. Structural equation modeling (SEM) and mediation effect tests are used to analyse 539 samples. Meanwhile, paths and mechanisms between health concern and other variables are explored. The results show that health concern is an important driving factor. Health concern can significantly promote the formation of willingness to purchase organic beef. Mediation effect tests suggest that health concern can indirectly affect the willingness to purchase organic beef through perceived benefit, moral norms, and controllability, but the mediation effect of self-efficiency is not significant. This study provides important references for government regulation and certification of organic foods as well as for enterprises'organic food marketing strategies.

Editorial of Int. J. Sustainable Real Estate and Construction Economics

Int. J. Sustainable Real Estate and Construction Economics, 2024

Over the past few decades, politicians, groups, and academics have been increasingly concerned ab... more Over the past few decades, politicians, groups, and academics have been increasingly concerned about the effects of the environment. This regular issue of the International Journal of Sustainable Real Estate and Construction Economics includes several thought-provoking articles that further sustainable practices in the real estate and construction industries. Every paper presents fresh viewpoints and insightful analysis on essential subjects. We hereinafter highlight some of these outstanding contributions

Uncovering PM 2.5 transport trajectories and sources at district within city scale

Journal of Cleaner Production, 2023

To continuously improve air quality, it is necessary to carry out fine management of air pollutio... more To continuously improve air quality, it is necessary to carry out fine management of air pollution prevention and control. However, research into regional transport of PM 2.5 at a smaller spatial scale such as district is limited. In this study, a novel combined method was constructed to simulate and identify the regional transport trajectories and potential sources of PM 2.5 concentrations at district scale, based on a hybrid model that integrates the Bayesian maximum entropy (BME) model, Weather Research and Forecast (WRF) and backward trajectory model. Take Tianjin as an example, an analysis of the transport trajectories showed that the air masses from northwest and southwest were the dominant atmospheric transport pathway in all seasons except summer. The number of transport trajectories from northwest and southwest accounted for 42.41% and 40.75% of the total number of transport trajectories. Despite the dominant wind direction in winter was northwest, it can be beneficial to atmospheric transport. This was because northwest trajectories were the long-range pathways, corresponding to fast-moving air masses that facilitate the dispersion of pollutants. On contrast, it is noteworthy that the southwest trajectories were the short-range pathways, resulting in limited diffusion and unfavorable conditions. The major potential cities that were likely contributors of PM 2.5 (Weighted Concentration-Weighted Trajectory (WCWT) values greater than 40 μg m − 3) were situated in the southwest. Furthermore, the interdistrict transport results indicated that the primary direction of PM 2.5 transport in Tianjin was also from south to north. It is critical that the current layout of Tianjin is adjusted in a timely manner through relocating or phasing out, as the majority of industrial enterprises with severe air pollution in Tianjin are located in the southern districts. This method of combining BME, WRF and backward trajectory can be used for atmospheric environment planning in other similar city and district-scale around the world. It also provides useful insights to policy makers when they formulate pollutants prevention control policies.

Understanding Local Government Digital Technology Adoption Strategies: A PRISMA Review

Sustainability

Digital technologies are used in various local government activities. Adopting suitable digital t... more 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 or awareness of how to balance the local government’s resources and the strategies that need to be implemented. This challenge also forms a research gap. The study aims to consolidate the understanding of local government digital technology adoption strategies via the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). It analyses the adoption opportunities, challenges, and strategies through the lens of people, processes, and technology frameworks. The results show that: (a) Strategies concerning the people aspects include building a platform for public participation, employees’ skills, and decision-makers' po...

Ranking of Risks for Existing and New Building Works

Sustainability, 2019

Site safety is one critical factor affecting the sustainability of skyscrapers and decoration, re... more Site safety is one critical factor affecting the sustainability of skyscrapers and decoration, repair, and maintenance projects. Many newly-built skyscrapers exceed 50 storeys in Hong Kong and decoration, repair, and maintenance projects are widely performed to extend the lifespans of buildings. Although many cities do not contain skyscrapers at present, this will change in the future. Likewise, more decoration, repair, and maintenance projects will emerge. Thus, the present research, which compares the safety risks among the new and DSR projects, provides insights for builders, policymakers, and safety personnel. Moreover, research studies which rank and compare decoration, repair, and maintenance projects and new skyscraper constructions are scarce. The use of the evidence-based practice approach, which aims to narrow the gap between practice and academia in construction safety research, is the first of its kind. In this paper, we firstly provide a systematic literature review fro...

Have Housing Prices Gone with the Smelly Wind? Big Data Analysis on Landfill in Hong Kong

Sustainability, 2018

Unlike many other places around the globe, Hong Kong is a small city with a high population densi... more Unlike many other places around the globe, Hong Kong is a small city with a high population density. Some housing units are built near the sources of an externality, such as a landfill site. As the blocks of buildings are particularly tall, many are walled buildings that block the bad odor from the landfill. Thus, the wind blowing from a landfill site may not affect the entire building estate. Some buildings are more heavily affected than others, partly because walled buildings built near landfills are rare. Only a few studies currently examine the correlation between wind direction and the prices of walled buildings. In this paper, we aim to bridge this research gap by illustrating Hong Kong as a case study. Most previous research studies only examine a few factors affecting housing prices. Modern big data is characterized by its large volume of data, which includes various types of data that analysts would not necessarily sample, but instead merely observe to track what happens. Therefore, another innovative point of our paper, is that we adopt a big data approach to study this issue. In this aspect, this paper is the first of its kind. There are 53,071 observations in the 1999 to 2014 dataset, with 2,175,911 data entries. Our results reflect that when more municipal solid waste is sent to the South East New Territories Landfill, residents' complaints in Tseung Kwan O increase. However, entire property prices in the region also increase, which rejects our hypothesis. We speculate that as more people become aware of the housing estate due to complaints, with only a limited number of housing units affected by the smell, since the wind usually only blows in certain directions, the "advertisement effect" originating from complaints about the bad smell boosts the property prices of the unaffected units. That is, people become aware of the existence of the property, visit the site, and discover that only specific units facing one particular direction are affected. Then, they purchase units that are unaffected by the smelly wind, leading to an overall increase in property prices. The study's results may provide a new perspective on urban planning, and possible implications for other cities in view of the constant increase in population and expansion of landfill sites.

Walled Buildings, Sustainability, and Housing Prices: An Artificial Neural Network Approach

Sustainability, 2018

Various researchers have explored the adverse effects of walled buildings on human health. Howeve... more Various researchers have explored the adverse effects of walled buildings on human health. However, few of them have examined the relationship between walled buildings and private housing estates in Hong Kong. This study endeavors to fill the research gap by exploring the connections among walled-building effects, housing features, macroeconomic factors, and housing prices in private housing estates. Specifically, it reveals the relationship between walled buildings and housing prices. Eight privately owned housing estates are selected with a total of 11,365 observations. Results are analyzed to study the factors that affect the housing price. Firstly, unit root tests are carried out to evaluate if the time series variables follow the unit root process. Secondly, the relationship between walled buildings and housing price is examined by conducting an artificial neural network. We assumed that the housing price reduces due to walled-building effects, given that previous literature showed that heat island effect, and blockage of natural light and views, are common in walled-building districts. Moreover, we assume that housing price can also be affected by macroeconomic factors and housing features, and these effects vary among private housing estates. We also study these impacts by using the two models. Recommendations and possible solutions are suggested at the end of the research paper.

Factors Affecting House Prices in China: A Systematic Review of Papers Indexed in Chinese Science Citation Database

Property management, 2022

This paper explored the factors that affect housing prices as per Chinese articles indexed in the... more 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. It motivated us to systematically review Chinese literature’s factors that affected housing prices in China.
This paper reviewed housing price research articles indexed in the two largest Chinese academic research databases: the Chinese Science Citation Database and China Knowledge Infrastructure Engineering Database (CNKI.NET). It systematically collected the data, and adopted descriptive analysis techniques, and synthesis.
This research reviewed the literature published from 2015 to 2020 and revealed some unique factors affecting China’s housing prices. For example, research focused on administrative aspects such as macroeconomic regulation and control (often known as macro control). Chinese articles’ authors suggested that the two-child policy affected housing prices, which differed from that in the English journal articles. The research results implied that researchers should read top Chinese journals on top of good international journals only when they study China’s real estate market in the future.
Because the domestic real estate market started late, domestic real estate transaction data and real estate-related statistics are more difficult to obtain. The research is mostly based on the relationship between supply and demand, government policy, and individual consumer factors, and the sample has a short time span.
As China is a planned economy country, administrative factors are one main factor that affects the housing price, with a significant number of articles in Chinese considering this factor to be the main driver of the real estate price. It includes government investment and macro control, i.e. the People’s Republic of China’s direct government intervention to cool down the overheated economy. Yet, there are few English articles that throw light on this factor including the commodity housing supply and government behaviour that affect housing price.
The second-child policy which is unique in China also plays an important role in the determination of the housing price. In the articles indexed in CNKI, the second-child rate, willingness to have a second child, or having a second child are mentioned in the Chinese articles but not the English ones.
Our study allows foreigners who do not know Chinese to know more about factors that drove housing prices from the Chinese perspective. It also provideprovides insights to overseas developers who wish to enter the property market in China. The results can be generalised to other non-English speaking real estate research.

Opportunities and Adoption Challenges of AI in the Construction Industry: A PRISMA Review

Journal of Open Innovation: Technology, Market, and Complexity, 2022

Artificial intelligence (AI) is a powerful technology with a range of capabilities, which are beg... more 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, there are limited review studies that investigate the reasons for the low-level AI adoption in the construction industry. This study aims to reduce this gap by identifying the adoption challenges of AI, along with the opportunities offered, for the construction industry. To achieve the aim, the study adopts a systematic literature review approach using the PRISMA protocol. In addition, the systematic review of the literature focuses on the planning, design, and construction stages of the construction project lifecycle. The results of the review reveal that (a) AI is particularly beneficial in the planning stage as the success of construction projects depends on accurate events, risks, and cost forecasting; (b) the major opportunity in adopting AI is to reduce the time spent on repetitive tasks by using big data analytics and improving the work processes; and (c) the biggest challenge to incorporate AI on a construction site is the fragmented nature of the industry, which has resulted in issues of data acquisition and retention. The findings of the study inform a range of parties that operate in the construction industry concerning the opportunities and challenges of AI adaptability and help increase the market acceptance of AI practices.

Sustainable building processes' challenges and strategies: The relative important index approach

Cleaner Engineering and Technology, 2022

Sustainability has been increasingly advocated by the global construction industry due to the nee... more 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 a wide range of sustainability practices within the construction industry. However, little attention has been geared towards construction project management teams when addressing the issues of sustainability. This study aims to provide an empirical analysis of the challenges and mitigating strategies for enhancing project management teams’ readiness in the adoption of sustainable building processes. It does so by undertaking an extensive critical review of literature resulting in the identification of sixteen challenges and sixteen mitigation strategies and conducted a cross-sectional survey among 200 Ghanaian construction industry professionals. Data obtained from the survey was analysed using descriptive statistics and relative importance index rankings. The study revealed that inadequate training and education, unfamiliarity with green technologies, and higher initial costs of green construction practices and materials are the key challenges that hinder project management teams’ implementation of sustainable building processes. The study further revealed the significant mitigation strategies such as educating stakeholders on the future benefits of green buildings, engaging personnel with green building background, and setting sustainable priorities and goals early in the feasibility study. The value of this paper is to help project management teams to understand these challenges and strategize to turn them into opportunities for the construction industry.

Economic Development and Mountain Tourism Research from 2010 to 2020: Bibliometric Analysis and Science Mapping Approach

Sustainability, 2022

Due to hectic city lives and the growing health concerns in light of the global pandemic, mountai... more Due to hectic city lives and the growing health concerns in light of the global pandemic, mountain tourism has become increasingly popular worldwide, which has increased the related research. Based on traditional bibliometric laws, such as those authored by Price, Bradford, Lotka, and Zipf, this study acquired 1413 mountain tourism journal articles via bibliometric analysis and identified the most influential journal articles, researchers, and countries in mountain tourism research as indexed in the Web of Science (WoS) database during 2010–2020. The keyword analysis revealed mountain tourism’s emerging research topics, including climate change, sustainable development, sustainability, sustainable tourism, protected areas, rural tourism, and conservation. The most influential journal was Sustainability in the mountain tourism. The research results showed that China, the U.S., and Romania produced the most significant mountain tourism articles indexed in the WoS. Most developed countries in Europe had the highest average and average normalized citations, which indicated that they may have more influence in this field as compared to other countries. Some developing countries, such as India, Nepal, and China, had higher citations, average citations, and/or average normalized citations than other countries. The main research trend was the sustainable development aspect of mountain-based tourism during the COVID-19 pandemic. We identified the research gap in WoS; although there is some research shedding light on tourism via bibliometrics, mountain tourism bibliometric analysis and science mapping via VOSViewer is scarce. The paper summarizes the critical aspects of the current discussion of sustainable mountain tourism, such as transport and coopetition (i.e., combing with cooperation and competition) in mountain tourism areas. The results indicated that government agencies and destination managers need to strike a balance between sustainable mountain tourism development and environment and natural landscape conservation after COVID-19.

Comparative Study of Factors Contributing to Land Surface Temperature in High-Density Built Environments in Megacities Using Satellite Imagery

Sustainability, 2021

In this study, the root sources contributing to the urban heat island (UHI) effect between megac... more 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 was applied to retrieve the land surface temperatures (LSTs) in the study area. Multiple linear regression analysis was applied to determine the relationship between land-use types and UHIs. The experimental results show a large area of relatively high temperature dispersed within Shenzhen, and comparatively small areas highly centralized in Hong Kong, with the retrieved LST in Hong Kong lower than that in Shenzhen. In addition, the surface temperature of large complex buildings decorated with high-albedo materials in Hong Kong was higher than in Shenzhen (e.g., Hong Kong International Airport, 25.12 ◦C; Shenzhen Bao’an International Airport, 23.38 ◦C), with artificial heat being an important contributor to these differences. These results also imply that high-albedo materials are sufficient to alleviate high temperatures. These findings are integrated to propose an organic combination strategy for reducing UHI effects in urban areas in megacities worldwide, such as Hong Kong and Shenzhen in China.

S2.0 S092575352100463X main

Recent research argues that robots could replace workers in dangerous work environments to reduce... more 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-level dataset based on the Guangdong Province in China, we find that robot application is associated with an increase in the rate of occupational injuries in the first two years, and then exhibits nonsignificant and even negative effects afterwards. We also find that local governments can reduce or even eliminate the effect of robot application on occupational injuries by strengthening safety regulations. In addition, although local governments are keen on pushing robot application and industrial intelligence, the wide application of robots may impose a burden on the public health expenditure of local governments due to occupational injuries. This study extends our knowledge by challenging the traditional view that robot application can reduce the rate of occupational injuries, and also provides suggestions on the safety regulations of developing countries at the early stage of industrial intelligence.

Case Studies on Safety Measures Implementation

Risk Engineering, 2013

How does facial recognition as an urban safety technology affect firm performance? The moderating role of the home country's government subsidies

Safety Science, 2021

The rapid progress of facial recognition technology (FRT), aided by technological advancements in... more The rapid progress of facial recognition technology (FRT), aided by technological advancements in artificial intelligence, is transforming urban life. However, FRT also presents challenges and imposes urban safety risks, such as cybersecurity threats and privacy concerns. Considering the importance of FRT as smart urban safety technology, this study utilises the rent-seeking theory to analyse the relationship between a firm's level of FRT capability and its international and domestic sales performances. We explored the effect of the home country's government subsidies as a contextual factor. We analysed 33 listed firms from nine countries firms that are involved in artificial intelligence, based on secondary data from 2014 to 2019. Our regression analyses revealed mixed empirical results in that while the firm's FRT capability negatively influenced its international sales performance, its positive effect on domestic sales performance was partially supported. Further, we found that the home country's government subsidies negatively moderated the relationship between a firm's FRT capability and its domestic sales performance.

Tourist Satisfaction, Willingness to Revisit and Recommend, and Mountain Kangyang Tourism Spots Sustainability: A Structural Equation Modelling Approach

Sustainability, 2021

The rapid development of society and economy has imposed insurmountable pressure on the urban pop... more The rapid development of society and economy has imposed insurmountable pressure on
the urban population, and many people suffer from sub-health conditions. Kangyang tourism (KT),
which combines the concepts of health preservation, ecological resources, and tourism activities, has
developed rapidly in China since the concept was first introduced. Although previous studies have
examined the relationship among experience, satisfaction, and intention, there is a lack of study of
experience value’s impact on Mountain Kangyang Tourim Spots’ Sustainability, that is, willingness
to revisit and recommend to other potential tourists. Consequently, an “experience value (functional
value, contextual value, emotional value, cognitive value, economic value), satisfaction and post-trip
willingness to revisit and recommend” framework is suggested to examine mountain Kangyang
tourism (MKT). Data were collected from 500 tourists after visiting five well-known MKT destinations
in Panzhihua city. Using the structural equation modeling (SEM) technique, the results suggest that
tourist satisfaction plays an important role in experience value as well as willingness to revisit and
recommend the MKT spots after their revisits. Our research offers some practical suggestions for
MKT destination operators when they design and provide MKT destinations. The results would be
useful for governments and non-profit organizations which attempt to promote MKT.

Editorial: towards a digital, healthy and safe sustainable built environment

Int. J. Sustainable Real Estate and Construction Economics, 2021

She the founder and director of Sustainable Real Estate Research Center. Her major field of resea... more She the founder and director of Sustainable Real Estate Research Center. Her major field of research interests lies in construction safety, sustainable building, housing economics, real estate economics and construction informatics. She acts as a journal editorial board member for many journals, an author of 9 books and over 300 articles over the past eight years. Over the years, she has won many local and international awards. She acts as a PI and co-I for many academic research grants.

Economic development and construction safety research: A bibliometrics approach

Safety Science, 2021

The construction industry contributes significantly to economic development worldwide, yet it is ... more 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 construction safety articles published in the 21st century via a bibliometrics approach. We have analysed: (1) construction safety in developed and developing countries; (2) the major organisations that have conducted construction safety research; (3) authors and territories of the research and (4) topics in construction safety and future research directions. The largest number of published construction safety documents were published by scholars from the US and China; the total number of published articles by these two countries was 1,125, at 56% of the 2000 articles that were published. Both countries showed high levels of research collaboration. While our results suggest that economic development may drive academic construction safety research, there has been an increase in construction safety research conducted by developing countries in recent years, probably due to an improvement in their economic development. While authors' keywords evidenced the popularity of research on safety management and climate, the network analysis on all keywords, i.e. keywords given by Web of Science and authors, suggest that construction safety research focused on three areas: construction safety management, the relationship between people and construction safety, and the protection and health of workers' impact on construction safety. We found that there is a new interdisciplinary research trend where construction safety combines with digital technologies, with the largest number involving deep learning. Other trends focus on machine learning, Building Information Modelling, machine learning and visualisation.

Safety knowledge sharing on Twitter: A social network analysis

Safety Science, 2021

Many studies show that unsafe behavior is the main cause of construction accidents. Safety educat... more Many studies show that unsafe behavior is the main cause of construction accidents. Safety education and training are effective means to minimise people's unsafe behaviors. Apart from traditional face-to-face construction knowledge sharing, social media is a good tool because it is convenient, efficient, and widely used. We applied both social network analysis and sentiment analysis to investigate knowledge sharing on Twitter. Our study is a novel attempt to understand social structure of "construction safety"-related twitter networks and the opinion leaders. We selected and analyzed 6561 tweets of three users' networks on Twitter-"construction safety", "construction health" and "construction accident". We found that three networks had low density and many isolated vertices, which showed that users did not actively interact with each other. The opinion leaders in this study were mostly organizations or government agencies. The top one is "cif_ireland", the Irish construction industry's representative body, the Construction Industry Federation. 3200 Tweets of the top opinion leader were analyzed through graph metrics calculation, cluster analysis, sentiment analysis, and correlation analysis. The opinion leader used Twitter as a medium to disseminate the latest safety news. Thus, we may use Twitter to stimulate people's interest on construction safety topics, share construction safety knowledge, opinions and ideas. Besides, our results showed that sentiment valence had no correlation with number of favorites or retweets. Nevertheless, there was a positive correlation between favorites and retweets.

Construction Safety Knowledge Sharing on Twitter: A Social Network Analysis

Safety Science, 2021

Many studies show that unsafe behavior is the main cause of construction accidents. Safety educat... more Many studies show that unsafe behavior is the main cause of construction accidents.
Safety education and training are effective means to minimise people’s unsafe
behaviors. Apart from traditional face-to-face construction knowledge sharing, social
media is a good tool because it is convenient, efficient, and widely used. We applied
both social network analysis and sentiment analysis to investigate knowledge sharing
on Twitter. From this perspective, our study is a novel attempt to understand social
structure of “construction safety”- related twitter networks and the opinion leaders. We
selected and analyzed 6561 tweets of three users’ networks on Twitter – “construction
safety”, “construction health” and “construction accident”. We found that three networks
had low density and many isolated vertices, which showed that users did not actively
interact with each other. The opinion leaders in this study were mostly organizations or
government agencies. The top one is “cif_ireland”, the Irish construction industry’s
representative body, the Construction Industry Federation. 3,200 Tweets of the top
opinion leader were collected and analyzed through graph metrics calculation, cluster
analysis, sentiment analysis, and correlation analysis. The opinion leader used Twitter
as a medium to disseminate its news of recent participation in events or publish the
latest safety news. The sentiment analysis demonstrated that sentiment valence
exhibited a positive correlation between favorite count and retweet count. There is an
opportunity for opinion leaders to use twitter to develop an interest in construction
safety topics and stimulate users to exchange knowledge, opinions and ideas.

Health-driven mechanism of organic food consumption: A structural equation modelling approach

hELIYON, 2024

The COVID-19 pandemic seriously threatened human survival and development. It has also highlighte... more The COVID-19 pandemic seriously threatened human survival and development. It has also highlighted the significant correlation between ecological and public health. After three years of the COVID pandemic, Chinese consumers have become more aware of the importance of health. Especially in the Internet era, consumers' purchasing methods and health awareness have been changed. Consumers can buy nutritious and organic foods. To understand the impact of consumer psychology and health beliefs on the willingness to purchase organic food in the post-pandemic period, this study uses organic beef as an example and extracts key variables from three basic theories. The three basic theories include the Health Belief Model (HBM), the Theory of Planned Behavior (TPB), and the Norm Activation Model (NAM), respectively. Specifically, perceived susceptibility and severity are combined to form a health belief variable that can drive organic food purchasing. In contrast, perceived benefit, moral norms, self-efficiency, and controllability are introduced as mediating variables to construct the health driving factors of organic beef purchasing. Structural equation modeling (SEM) and mediation effect tests are used to analyse 539 samples. Meanwhile, paths and mechanisms between health concern and other variables are explored. The results show that health concern is an important driving factor. Health concern can significantly promote the formation of willingness to purchase organic beef. Mediation effect tests suggest that health concern can indirectly affect the willingness to purchase organic beef through perceived benefit, moral norms, and controllability, but the mediation effect of self-efficiency is not significant. This study provides important references for government regulation and certification of organic foods as well as for enterprises'organic food marketing strategies.

Editorial of Int. J. Sustainable Real Estate and Construction Economics

Int. J. Sustainable Real Estate and Construction Economics, 2024

Over the past few decades, politicians, groups, and academics have been increasingly concerned ab... more Over the past few decades, politicians, groups, and academics have been increasingly concerned about the effects of the environment. This regular issue of the International Journal of Sustainable Real Estate and Construction Economics includes several thought-provoking articles that further sustainable practices in the real estate and construction industries. Every paper presents fresh viewpoints and insightful analysis on essential subjects. We hereinafter highlight some of these outstanding contributions

Uncovering PM 2.5 transport trajectories and sources at district within city scale

Journal of Cleaner Production, 2023

To continuously improve air quality, it is necessary to carry out fine management of air pollutio... more To continuously improve air quality, it is necessary to carry out fine management of air pollution prevention and control. However, research into regional transport of PM 2.5 at a smaller spatial scale such as district is limited. In this study, a novel combined method was constructed to simulate and identify the regional transport trajectories and potential sources of PM 2.5 concentrations at district scale, based on a hybrid model that integrates the Bayesian maximum entropy (BME) model, Weather Research and Forecast (WRF) and backward trajectory model. Take Tianjin as an example, an analysis of the transport trajectories showed that the air masses from northwest and southwest were the dominant atmospheric transport pathway in all seasons except summer. The number of transport trajectories from northwest and southwest accounted for 42.41% and 40.75% of the total number of transport trajectories. Despite the dominant wind direction in winter was northwest, it can be beneficial to atmospheric transport. This was because northwest trajectories were the long-range pathways, corresponding to fast-moving air masses that facilitate the dispersion of pollutants. On contrast, it is noteworthy that the southwest trajectories were the short-range pathways, resulting in limited diffusion and unfavorable conditions. The major potential cities that were likely contributors of PM 2.5 (Weighted Concentration-Weighted Trajectory (WCWT) values greater than 40 μg m − 3) were situated in the southwest. Furthermore, the interdistrict transport results indicated that the primary direction of PM 2.5 transport in Tianjin was also from south to north. It is critical that the current layout of Tianjin is adjusted in a timely manner through relocating or phasing out, as the majority of industrial enterprises with severe air pollution in Tianjin are located in the southern districts. This method of combining BME, WRF and backward trajectory can be used for atmospheric environment planning in other similar city and district-scale around the world. It also provides useful insights to policy makers when they formulate pollutants prevention control policies.

Understanding Local Government Digital Technology Adoption Strategies: A PRISMA Review

Sustainability

Digital technologies are used in various local government activities. Adopting suitable digital t... more 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 or awareness of how to balance the local government’s resources and the strategies that need to be implemented. This challenge also forms a research gap. The study aims to consolidate the understanding of local government digital technology adoption strategies via the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). It analyses the adoption opportunities, challenges, and strategies through the lens of people, processes, and technology frameworks. The results show that: (a) Strategies concerning the people aspects include building a platform for public participation, employees’ skills, and decision-makers' po...

Ranking of Risks for Existing and New Building Works

Sustainability, 2019

Site safety is one critical factor affecting the sustainability of skyscrapers and decoration, re... more Site safety is one critical factor affecting the sustainability of skyscrapers and decoration, repair, and maintenance projects. Many newly-built skyscrapers exceed 50 storeys in Hong Kong and decoration, repair, and maintenance projects are widely performed to extend the lifespans of buildings. Although many cities do not contain skyscrapers at present, this will change in the future. Likewise, more decoration, repair, and maintenance projects will emerge. Thus, the present research, which compares the safety risks among the new and DSR projects, provides insights for builders, policymakers, and safety personnel. Moreover, research studies which rank and compare decoration, repair, and maintenance projects and new skyscraper constructions are scarce. The use of the evidence-based practice approach, which aims to narrow the gap between practice and academia in construction safety research, is the first of its kind. In this paper, we firstly provide a systematic literature review fro...

Have Housing Prices Gone with the Smelly Wind? Big Data Analysis on Landfill in Hong Kong

Sustainability, 2018

Unlike many other places around the globe, Hong Kong is a small city with a high population densi... more Unlike many other places around the globe, Hong Kong is a small city with a high population density. Some housing units are built near the sources of an externality, such as a landfill site. As the blocks of buildings are particularly tall, many are walled buildings that block the bad odor from the landfill. Thus, the wind blowing from a landfill site may not affect the entire building estate. Some buildings are more heavily affected than others, partly because walled buildings built near landfills are rare. Only a few studies currently examine the correlation between wind direction and the prices of walled buildings. In this paper, we aim to bridge this research gap by illustrating Hong Kong as a case study. Most previous research studies only examine a few factors affecting housing prices. Modern big data is characterized by its large volume of data, which includes various types of data that analysts would not necessarily sample, but instead merely observe to track what happens. Therefore, another innovative point of our paper, is that we adopt a big data approach to study this issue. In this aspect, this paper is the first of its kind. There are 53,071 observations in the 1999 to 2014 dataset, with 2,175,911 data entries. Our results reflect that when more municipal solid waste is sent to the South East New Territories Landfill, residents' complaints in Tseung Kwan O increase. However, entire property prices in the region also increase, which rejects our hypothesis. We speculate that as more people become aware of the housing estate due to complaints, with only a limited number of housing units affected by the smell, since the wind usually only blows in certain directions, the "advertisement effect" originating from complaints about the bad smell boosts the property prices of the unaffected units. That is, people become aware of the existence of the property, visit the site, and discover that only specific units facing one particular direction are affected. Then, they purchase units that are unaffected by the smelly wind, leading to an overall increase in property prices. The study's results may provide a new perspective on urban planning, and possible implications for other cities in view of the constant increase in population and expansion of landfill sites.

Walled Buildings, Sustainability, and Housing Prices: An Artificial Neural Network Approach

Sustainability, 2018

Various researchers have explored the adverse effects of walled buildings on human health. Howeve... more Various researchers have explored the adverse effects of walled buildings on human health. However, few of them have examined the relationship between walled buildings and private housing estates in Hong Kong. This study endeavors to fill the research gap by exploring the connections among walled-building effects, housing features, macroeconomic factors, and housing prices in private housing estates. Specifically, it reveals the relationship between walled buildings and housing prices. Eight privately owned housing estates are selected with a total of 11,365 observations. Results are analyzed to study the factors that affect the housing price. Firstly, unit root tests are carried out to evaluate if the time series variables follow the unit root process. Secondly, the relationship between walled buildings and housing price is examined by conducting an artificial neural network. We assumed that the housing price reduces due to walled-building effects, given that previous literature showed that heat island effect, and blockage of natural light and views, are common in walled-building districts. Moreover, we assume that housing price can also be affected by macroeconomic factors and housing features, and these effects vary among private housing estates. We also study these impacts by using the two models. Recommendations and possible solutions are suggested at the end of the research paper.

Factors Affecting House Prices in China: A Systematic Review of Papers Indexed in Chinese Science Citation Database

Property management, 2022

This paper explored the factors that affect housing prices as per Chinese articles indexed in the... more 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. It motivated us to systematically review Chinese literature’s factors that affected housing prices in China.
This paper reviewed housing price research articles indexed in the two largest Chinese academic research databases: the Chinese Science Citation Database and China Knowledge Infrastructure Engineering Database (CNKI.NET). It systematically collected the data, and adopted descriptive analysis techniques, and synthesis.
This research reviewed the literature published from 2015 to 2020 and revealed some unique factors affecting China’s housing prices. For example, research focused on administrative aspects such as macroeconomic regulation and control (often known as macro control). Chinese articles’ authors suggested that the two-child policy affected housing prices, which differed from that in the English journal articles. The research results implied that researchers should read top Chinese journals on top of good international journals only when they study China’s real estate market in the future.
Because the domestic real estate market started late, domestic real estate transaction data and real estate-related statistics are more difficult to obtain. The research is mostly based on the relationship between supply and demand, government policy, and individual consumer factors, and the sample has a short time span.
As China is a planned economy country, administrative factors are one main factor that affects the housing price, with a significant number of articles in Chinese considering this factor to be the main driver of the real estate price. It includes government investment and macro control, i.e. the People’s Republic of China’s direct government intervention to cool down the overheated economy. Yet, there are few English articles that throw light on this factor including the commodity housing supply and government behaviour that affect housing price.
The second-child policy which is unique in China also plays an important role in the determination of the housing price. In the articles indexed in CNKI, the second-child rate, willingness to have a second child, or having a second child are mentioned in the Chinese articles but not the English ones.
Our study allows foreigners who do not know Chinese to know more about factors that drove housing prices from the Chinese perspective. It also provideprovides insights to overseas developers who wish to enter the property market in China. The results can be generalised to other non-English speaking real estate research.

Opportunities and Adoption Challenges of AI in the Construction Industry: A PRISMA Review

Journal of Open Innovation: Technology, Market, and Complexity, 2022

Artificial intelligence (AI) is a powerful technology with a range of capabilities, which are beg... more 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, there are limited review studies that investigate the reasons for the low-level AI adoption in the construction industry. This study aims to reduce this gap by identifying the adoption challenges of AI, along with the opportunities offered, for the construction industry. To achieve the aim, the study adopts a systematic literature review approach using the PRISMA protocol. In addition, the systematic review of the literature focuses on the planning, design, and construction stages of the construction project lifecycle. The results of the review reveal that (a) AI is particularly beneficial in the planning stage as the success of construction projects depends on accurate events, risks, and cost forecasting; (b) the major opportunity in adopting AI is to reduce the time spent on repetitive tasks by using big data analytics and improving the work processes; and (c) the biggest challenge to incorporate AI on a construction site is the fragmented nature of the industry, which has resulted in issues of data acquisition and retention. The findings of the study inform a range of parties that operate in the construction industry concerning the opportunities and challenges of AI adaptability and help increase the market acceptance of AI practices.

Sustainable building processes' challenges and strategies: The relative important index approach

Cleaner Engineering and Technology, 2022

Sustainability has been increasingly advocated by the global construction industry due to the nee... more 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 a wide range of sustainability practices within the construction industry. However, little attention has been geared towards construction project management teams when addressing the issues of sustainability. This study aims to provide an empirical analysis of the challenges and mitigating strategies for enhancing project management teams’ readiness in the adoption of sustainable building processes. It does so by undertaking an extensive critical review of literature resulting in the identification of sixteen challenges and sixteen mitigation strategies and conducted a cross-sectional survey among 200 Ghanaian construction industry professionals. Data obtained from the survey was analysed using descriptive statistics and relative importance index rankings. The study revealed that inadequate training and education, unfamiliarity with green technologies, and higher initial costs of green construction practices and materials are the key challenges that hinder project management teams’ implementation of sustainable building processes. The study further revealed the significant mitigation strategies such as educating stakeholders on the future benefits of green buildings, engaging personnel with green building background, and setting sustainable priorities and goals early in the feasibility study. The value of this paper is to help project management teams to understand these challenges and strategize to turn them into opportunities for the construction industry.

Economic Development and Mountain Tourism Research from 2010 to 2020: Bibliometric Analysis and Science Mapping Approach

Sustainability, 2022

Due to hectic city lives and the growing health concerns in light of the global pandemic, mountai... more Due to hectic city lives and the growing health concerns in light of the global pandemic, mountain tourism has become increasingly popular worldwide, which has increased the related research. Based on traditional bibliometric laws, such as those authored by Price, Bradford, Lotka, and Zipf, this study acquired 1413 mountain tourism journal articles via bibliometric analysis and identified the most influential journal articles, researchers, and countries in mountain tourism research as indexed in the Web of Science (WoS) database during 2010–2020. The keyword analysis revealed mountain tourism’s emerging research topics, including climate change, sustainable development, sustainability, sustainable tourism, protected areas, rural tourism, and conservation. The most influential journal was Sustainability in the mountain tourism. The research results showed that China, the U.S., and Romania produced the most significant mountain tourism articles indexed in the WoS. Most developed countries in Europe had the highest average and average normalized citations, which indicated that they may have more influence in this field as compared to other countries. Some developing countries, such as India, Nepal, and China, had higher citations, average citations, and/or average normalized citations than other countries. The main research trend was the sustainable development aspect of mountain-based tourism during the COVID-19 pandemic. We identified the research gap in WoS; although there is some research shedding light on tourism via bibliometrics, mountain tourism bibliometric analysis and science mapping via VOSViewer is scarce. The paper summarizes the critical aspects of the current discussion of sustainable mountain tourism, such as transport and coopetition (i.e., combing with cooperation and competition) in mountain tourism areas. The results indicated that government agencies and destination managers need to strike a balance between sustainable mountain tourism development and environment and natural landscape conservation after COVID-19.

Comparative Study of Factors Contributing to Land Surface Temperature in High-Density Built Environments in Megacities Using Satellite Imagery

Sustainability, 2021

In this study, the root sources contributing to the urban heat island (UHI) effect between megac... more 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 was applied to retrieve the land surface temperatures (LSTs) in the study area. Multiple linear regression analysis was applied to determine the relationship between land-use types and UHIs. The experimental results show a large area of relatively high temperature dispersed within Shenzhen, and comparatively small areas highly centralized in Hong Kong, with the retrieved LST in Hong Kong lower than that in Shenzhen. In addition, the surface temperature of large complex buildings decorated with high-albedo materials in Hong Kong was higher than in Shenzhen (e.g., Hong Kong International Airport, 25.12 ◦C; Shenzhen Bao’an International Airport, 23.38 ◦C), with artificial heat being an important contributor to these differences. These results also imply that high-albedo materials are sufficient to alleviate high temperatures. These findings are integrated to propose an organic combination strategy for reducing UHI effects in urban areas in megacities worldwide, such as Hong Kong and Shenzhen in China.

S2.0 S092575352100463X main

Recent research argues that robots could replace workers in dangerous work environments to reduce... more 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-level dataset based on the Guangdong Province in China, we find that robot application is associated with an increase in the rate of occupational injuries in the first two years, and then exhibits nonsignificant and even negative effects afterwards. We also find that local governments can reduce or even eliminate the effect of robot application on occupational injuries by strengthening safety regulations. In addition, although local governments are keen on pushing robot application and industrial intelligence, the wide application of robots may impose a burden on the public health expenditure of local governments due to occupational injuries. This study extends our knowledge by challenging the traditional view that robot application can reduce the rate of occupational injuries, and also provides suggestions on the safety regulations of developing countries at the early stage of industrial intelligence.

Case Studies on Safety Measures Implementation

Risk Engineering, 2013

How does facial recognition as an urban safety technology affect firm performance? The moderating role of the home country's government subsidies

Safety Science, 2021

The rapid progress of facial recognition technology (FRT), aided by technological advancements in... more The rapid progress of facial recognition technology (FRT), aided by technological advancements in artificial intelligence, is transforming urban life. However, FRT also presents challenges and imposes urban safety risks, such as cybersecurity threats and privacy concerns. Considering the importance of FRT as smart urban safety technology, this study utilises the rent-seeking theory to analyse the relationship between a firm's level of FRT capability and its international and domestic sales performances. We explored the effect of the home country's government subsidies as a contextual factor. We analysed 33 listed firms from nine countries firms that are involved in artificial intelligence, based on secondary data from 2014 to 2019. Our regression analyses revealed mixed empirical results in that while the firm's FRT capability negatively influenced its international sales performance, its positive effect on domestic sales performance was partially supported. Further, we found that the home country's government subsidies negatively moderated the relationship between a firm's FRT capability and its domestic sales performance.

Tourist Satisfaction, Willingness to Revisit and Recommend, and Mountain Kangyang Tourism Spots Sustainability: A Structural Equation Modelling Approach

Sustainability, 2021

The rapid development of society and economy has imposed insurmountable pressure on the urban pop... more The rapid development of society and economy has imposed insurmountable pressure on
the urban population, and many people suffer from sub-health conditions. Kangyang tourism (KT),
which combines the concepts of health preservation, ecological resources, and tourism activities, has
developed rapidly in China since the concept was first introduced. Although previous studies have
examined the relationship among experience, satisfaction, and intention, there is a lack of study of
experience value’s impact on Mountain Kangyang Tourim Spots’ Sustainability, that is, willingness
to revisit and recommend to other potential tourists. Consequently, an “experience value (functional
value, contextual value, emotional value, cognitive value, economic value), satisfaction and post-trip
willingness to revisit and recommend” framework is suggested to examine mountain Kangyang
tourism (MKT). Data were collected from 500 tourists after visiting five well-known MKT destinations
in Panzhihua city. Using the structural equation modeling (SEM) technique, the results suggest that
tourist satisfaction plays an important role in experience value as well as willingness to revisit and
recommend the MKT spots after their revisits. Our research offers some practical suggestions for
MKT destination operators when they design and provide MKT destinations. The results would be
useful for governments and non-profit organizations which attempt to promote MKT.

Editorial: towards a digital, healthy and safe sustainable built environment

Int. J. Sustainable Real Estate and Construction Economics, 2021

She the founder and director of Sustainable Real Estate Research Center. Her major field of resea... more She the founder and director of Sustainable Real Estate Research Center. Her major field of research interests lies in construction safety, sustainable building, housing economics, real estate economics and construction informatics. She acts as a journal editorial board member for many journals, an author of 9 books and over 300 articles over the past eight years. Over the years, she has won many local and international awards. She acts as a PI and co-I for many academic research grants.

Economic development and construction safety research: A bibliometrics approach

Safety Science, 2021

The construction industry contributes significantly to economic development worldwide, yet it is ... more 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 construction safety articles published in the 21st century via a bibliometrics approach. We have analysed: (1) construction safety in developed and developing countries; (2) the major organisations that have conducted construction safety research; (3) authors and territories of the research and (4) topics in construction safety and future research directions. The largest number of published construction safety documents were published by scholars from the US and China; the total number of published articles by these two countries was 1,125, at 56% of the 2000 articles that were published. Both countries showed high levels of research collaboration. While our results suggest that economic development may drive academic construction safety research, there has been an increase in construction safety research conducted by developing countries in recent years, probably due to an improvement in their economic development. While authors' keywords evidenced the popularity of research on safety management and climate, the network analysis on all keywords, i.e. keywords given by Web of Science and authors, suggest that construction safety research focused on three areas: construction safety management, the relationship between people and construction safety, and the protection and health of workers' impact on construction safety. We found that there is a new interdisciplinary research trend where construction safety combines with digital technologies, with the largest number involving deep learning. Other trends focus on machine learning, Building Information Modelling, machine learning and visualisation.

Safety knowledge sharing on Twitter: A social network analysis

Safety Science, 2021

Many studies show that unsafe behavior is the main cause of construction accidents. Safety educat... more Many studies show that unsafe behavior is the main cause of construction accidents. Safety education and training are effective means to minimise people's unsafe behaviors. Apart from traditional face-to-face construction knowledge sharing, social media is a good tool because it is convenient, efficient, and widely used. We applied both social network analysis and sentiment analysis to investigate knowledge sharing on Twitter. Our study is a novel attempt to understand social structure of "construction safety"-related twitter networks and the opinion leaders. We selected and analyzed 6561 tweets of three users' networks on Twitter-"construction safety", "construction health" and "construction accident". We found that three networks had low density and many isolated vertices, which showed that users did not actively interact with each other. The opinion leaders in this study were mostly organizations or government agencies. The top one is "cif_ireland", the Irish construction industry's representative body, the Construction Industry Federation. 3200 Tweets of the top opinion leader were analyzed through graph metrics calculation, cluster analysis, sentiment analysis, and correlation analysis. The opinion leader used Twitter as a medium to disseminate the latest safety news. Thus, we may use Twitter to stimulate people's interest on construction safety topics, share construction safety knowledge, opinions and ideas. Besides, our results showed that sentiment valence had no correlation with number of favorites or retweets. Nevertheless, there was a positive correlation between favorites and retweets.

Construction Safety Knowledge Sharing on Twitter: A Social Network Analysis

Safety Science, 2021

Many studies show that unsafe behavior is the main cause of construction accidents. Safety educat... more Many studies show that unsafe behavior is the main cause of construction accidents.
Safety education and training are effective means to minimise people’s unsafe
behaviors. Apart from traditional face-to-face construction knowledge sharing, social
media is a good tool because it is convenient, efficient, and widely used. We applied
both social network analysis and sentiment analysis to investigate knowledge sharing
on Twitter. From this perspective, our study is a novel attempt to understand social
structure of “construction safety”- related twitter networks and the opinion leaders. We
selected and analyzed 6561 tweets of three users’ networks on Twitter – “construction
safety”, “construction health” and “construction accident”. We found that three networks
had low density and many isolated vertices, which showed that users did not actively
interact with each other. The opinion leaders in this study were mostly organizations or
government agencies. The top one is “cif_ireland”, the Irish construction industry’s
representative body, the Construction Industry Federation. 3,200 Tweets of the top
opinion leader were collected and analyzed through graph metrics calculation, cluster
analysis, sentiment analysis, and correlation analysis. The opinion leader used Twitter
as a medium to disseminate its news of recent participation in events or publish the
latest safety news. The sentiment analysis demonstrated that sentiment valence
exhibited a positive correlation between favorite count and retweet count. There is an
opportunity for opinion leaders to use twitter to develop an interest in construction
safety topics and stimulate users to exchange knowledge, opinions and ideas.