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Prof. Albert Chan
Department of Building and Real Estate, The Hong Kong Polytechnic University, Hong Kong, China

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Research Keywords & Expertise

0 Construction health and safety
0 Project management and project success
0 Project finance and public–private partnerships (ppps)
0 Construction procurement and relational contracting
0 Construction industry development

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Project management and project success
Construction procurement and relational contracting
Construction industry development

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Journal article
Published: 20 June 2021 in International Journal of Project Management
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To crack down on rule violations by organizations, previous studies have mainly advocated improving the deterrent effect of sanctions by increasing punishment and strengthening supervision. However, violations stepping on the ‘red line’ remain rampant, despite an increasingly serious regulatory environment. In this respect, factors determining an organization's ability to learn from sanctions against others have barely been investigated. To address this issue, this study investigated the deterrent effect of sanctions from the perspective of the social distance between the sanctioned organization and observing organization and explored the moderating effects of knowledge base compatibility, as well as the strength of sanction event. Empirical evidence based on three vignette-based experiments that simulated a multinational project-based organization in the construction industry, a typical industry with serious violations, was sanctioned for failure to comply with host country regulations, showed that the deterrent effect of a sanction event is greater for organizations that are closer to the sanctioned organization than for those that are far from the target. Moreover, when knowledge base compatibility with the sanctioned organization was higher or when the sanction event was more novel, disruptive and critical for observing organizations, the deterrent effect of sanctions was extended and the observing organizations learned more compliance lessons from the sanction. Based on these findings, this study contributes to project governance and provides useful strategies for regulators and policymakers to control violations by expanding the deterrent effect of sanctions.

ACS Style

Zhixiu Wang; Xiaojun Yang; Albert P.C. Chan; Junying Liu. Are project-based organizations willing to learn compliance lessons from sanctioned organizations close to them? The moderating effect of knowledge base compatibility and strength of the event. International Journal of Project Management 2021, 1 .

AMA Style

Zhixiu Wang, Xiaojun Yang, Albert P.C. Chan, Junying Liu. Are project-based organizations willing to learn compliance lessons from sanctioned organizations close to them? The moderating effect of knowledge base compatibility and strength of the event. International Journal of Project Management. 2021; ():1.

Chicago/Turabian Style

Zhixiu Wang; Xiaojun Yang; Albert P.C. Chan; Junying Liu. 2021. "Are project-based organizations willing to learn compliance lessons from sanctioned organizations close to them? The moderating effect of knowledge base compatibility and strength of the event." International Journal of Project Management , no. : 1.

Journal article
Published: 06 June 2021 in Habitat International
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There is an increasing global population of older adults in recent years, and the trend will be more acute in the following decades. Owing to low mobility and physical impairment, the elderly are sensitive to their nearby neighborhood environment. However, it is challenging to accurately judge changes of the elderly’ quality of life (QoL) before conducting improvement strategies of neighborhood environment due to complicated environmental impacts. This study proposes a QoL prediction approach by integrating artificial neural network (ANN) model, scenario analysis and Monte Carlo experiment. The QoL of the elderly is measured from four domains, and the neighborhood environment is measured by 16 key indicators. Based on the measurement data collected from Nanjing, the ANN model is trained to fit the influence relationship between neighborhood environment and the elderly's QoL. Scenario analysis sets up potential scenarios for neighborhood environment under natural progressions and human interventions. Finally, Monte Carlo experiment is conducted to predict the probability distribution of the elderly's QoL values under potential scenarios by using the trained ANN model as functions. The predictive QoL values of the elderly show the change pattern of the elderly's QoL with dynamic neighborhood environment, reveal the independent and compound effects of natural progressions and human interventions, and confirm the mutual promotions between human interventions. Furthermore, the integrated prediction approach can be implemented in other cities and regions to forecast the local elderly's QoL under possible scenarios, and offer concise evidence for deciding improvement strategies of neighborhood environment to support aging-in-place.

ACS Style

Fan Zhang; Albert P.C. Chan; Amos Darko; Dezhi Li. Predicting the elderly's quality of life based on dynamic neighborhood environment under diverse scenarios: An integrated approach of ANN, scenario analysis and Monte Carlo method. Habitat International 2021, 113, 102373 .

AMA Style

Fan Zhang, Albert P.C. Chan, Amos Darko, Dezhi Li. Predicting the elderly's quality of life based on dynamic neighborhood environment under diverse scenarios: An integrated approach of ANN, scenario analysis and Monte Carlo method. Habitat International. 2021; 113 ():102373.

Chicago/Turabian Style

Fan Zhang; Albert P.C. Chan; Amos Darko; Dezhi Li. 2021. "Predicting the elderly's quality of life based on dynamic neighborhood environment under diverse scenarios: An integrated approach of ANN, scenario analysis and Monte Carlo method." Habitat International 113, no. : 102373.

Journal article
Published: 24 May 2021 in Sustainable Cities and Society
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The worldwide population of the elderly has increased rapidly. Housing issue is regarded as the main barrier to implementing “aging-in-place”, which is a recommended strategy to encourage the elderly to age in their residences. Although many studies have contributed to age-friendly cities and communities, few studies have focused on measuring housing age-friendliness with consideration of urban spatial scales. This study proposes a multiscale spatial framework of housing and develops a multi-level assessment of housing age-friendliness based on literature review and fuzzy-analytic hierarchy process (AHP). The multi-level assessment of age-friendliness takes advantage of building information modeling (BIM) to simplify the computation process of the housing age-friendliness index (HAFI). The feasibility of BIM-enabled multi-level assessment is proved by comparative analysis of two housing examples. Results of HAFI and sub-HAFIs indicate housing may perform variously with spatial levels. This study contributes to developing the age-friendly performance assessment for housing by considering various significances of housing characteristics in multiple spatial levels. The BIM-enabled multi-level assessment is an effective tool to help the elderly choose more appropriate housing, assist the government in allocating suitable public housing for aged applicants, and provide property developers and local governments with additional guidelines for housing design and urban renewal.

ACS Style

Fan Zhang; Albert P.C. Chan; Amos Darko; Dezhi Li. BIM-enabled multi-level assessment of age-friendliness of urban housing based on multiscale spatial framework: enlightenments of housing support for “aging-in-place”. Sustainable Cities and Society 2021, 72, 103039 .

AMA Style

Fan Zhang, Albert P.C. Chan, Amos Darko, Dezhi Li. BIM-enabled multi-level assessment of age-friendliness of urban housing based on multiscale spatial framework: enlightenments of housing support for “aging-in-place”. Sustainable Cities and Society. 2021; 72 ():103039.

Chicago/Turabian Style

Fan Zhang; Albert P.C. Chan; Amos Darko; Dezhi Li. 2021. "BIM-enabled multi-level assessment of age-friendliness of urban housing based on multiscale spatial framework: enlightenments of housing support for “aging-in-place”." Sustainable Cities and Society 72, no. : 103039.

Review
Published: 15 April 2021 in Sustainability
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Corruption has been identified as a major problem in construction projects. It can jeopardize the success of these projects. Consequently, corruption has garnered significant attention in the construction industry over the past two decades, and several studies on corruption in construction projects (CICP) have been conducted. Previous efforts to analyze and review this body of knowledge have been manual, qualitative and subjective, thus prone to bias and limited in the number of reviewed studies. There remains a lack of inclusive, quantitative, objective and computational analysis of global CICP research to inform future research, policy and practice. This study aims to address this lack by providing the first inclusive bibliometric study exploring the state-of-the-art of global CICP research. To this end, a quantitative and objective technique aided by CiteSpace was used to systematically and computationally analyze a large corpus of 542 studies retrieved from the Web of Science and published from 2000 to 2020. The findings revealed major and influential CICP research journals, persons, institutions, countries, references and areas of focus, as well as revealing how these interact with each other in research networks. This study contributes to the in-depth understanding of global research on CICP. By highlighting the principal research areas, gaps, emerging trends and directions, as well as patterns in CICP research, the findings could help researchers, practitioners and policy makers position their future CICP research and/or mitigation strategies.

ACS Style

Zhao Zhai; Ming Shan; Amos Darko; Albert Chan. Corruption in Construction Projects: Bibliometric Analysis of Global Research. Sustainability 2021, 13, 4400 .

AMA Style

Zhao Zhai, Ming Shan, Amos Darko, Albert Chan. Corruption in Construction Projects: Bibliometric Analysis of Global Research. Sustainability. 2021; 13 (8):4400.

Chicago/Turabian Style

Zhao Zhai; Ming Shan; Amos Darko; Albert Chan. 2021. "Corruption in Construction Projects: Bibliometric Analysis of Global Research." Sustainability 13, no. 8: 4400.

Journal article
Published: 11 March 2021 in Journal of Building Engineering
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Ensuring safe, affordable and energy efficient housing facilities to members of the general public by 2030 are prominent objectives delineated within the United Nation’s (UN) Sustainable Development Goals (SDGs). However, attaining these goals has been negatively influenced by various risk factors. This study explores linear relationships among clusters of these risk factors and the sustainable development goals in the Ghanaian housing market. Specifically, 21 risk factors, established through a comprehensive literature review, were categorized into four main clusters/constructs, namely: 1) political and procurement risks; 2) financial-related risks; 3) design and construction risks and 4) operation and maintenance risks. A questionnaire survey was conducted with respondents mostly in the formal/regulated/controlled sector of the Ghanaian housing market. Partial least square structural equation modelling (PLS-SEM) on the data revealed causal relationships among constructs of risks that could influence the SDGs. Results revealed that only ‘political and procurement risks’ have a significant impact (t-value of 2.321) on the SDGs. Besides, this risk category has significant impacts on all the other risk categories with the highest impact (t-value of 4.538) on ‘design and construction risks’. The study contributes to the scientific literature by providing a novel investigation of the influence of risk constructs on the SDGs in housing. The study’s findings may be used to influence research informed local policymakers and supranational organizations who seek to develop interventions/policies for reducing the housing crisis in most cities in Ghana and other sub-Saharan African countries.

ACS Style

Michael Atafo Adabre; Albert P.C. Chan; David J. Edwards; Emmanuel Adinyira. Assessing critical risk factors (CRFs) to sustainable housing: The perspective of a sub-Saharan African country. Journal of Building Engineering 2021, 41, 102385 .

AMA Style

Michael Atafo Adabre, Albert P.C. Chan, David J. Edwards, Emmanuel Adinyira. Assessing critical risk factors (CRFs) to sustainable housing: The perspective of a sub-Saharan African country. Journal of Building Engineering. 2021; 41 ():102385.

Chicago/Turabian Style

Michael Atafo Adabre; Albert P.C. Chan; David J. Edwards; Emmanuel Adinyira. 2021. "Assessing critical risk factors (CRFs) to sustainable housing: The perspective of a sub-Saharan African country." Journal of Building Engineering 41, no. : 102385.

Article
Published: 04 March 2021 in Journal of Housing and the Built Environment
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Interest in the global unaffordable housing crisis is evident in its burgeoning publications. However, systematic review of the literature is limited concerning data visualization and mapping of the knowledge structure and worldwide trend of publications on housing. This study seeks to fill this knowledge gap through a quantitative method—scientometric analysis. To this end, three networking tools—CiteSpace, VOSviewer and Gephi—were employed in analysing 11,981 bibliographic records retrieved from Scopus for two decades (1998–2017). The research findings are informative in identifying trends, linkages and gaps in the literature. Besides, they reveal collaboration pattern among countries, academic institutions and publication outlets of housing studies. These have practical implications for policymakers. The findings are indicative of pivotal areas of relatively low research outputs that can be the focus for further research. They are also important for efficient research and development policies for attaining the United Nations Sustainable Development Goals in housing.

ACS Style

Michael Atafo Adabre; Albert P. C. Chan; Amos Darko. A scientometric analysis of the housing affordability literature. Journal of Housing and the Built Environment 2021, 1 -33.

AMA Style

Michael Atafo Adabre, Albert P. C. Chan, Amos Darko. A scientometric analysis of the housing affordability literature. Journal of Housing and the Built Environment. 2021; ():1-33.

Chicago/Turabian Style

Michael Atafo Adabre; Albert P. C. Chan; Amos Darko. 2021. "A scientometric analysis of the housing affordability literature." Journal of Housing and the Built Environment , no. : 1-33.

Journal article
Published: 28 February 2021 in Automation in Construction
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Work-related stress can negatively impact psychophysiological well-being and recovery. However, this has not received adequate attention in the construction industry. Therefore, this study aimed to investigate the impact of work pressure on physiological health. To achieve the aim, HRV and sleep health data were collected from 56 construction personnel using wearable technologies, followed by a post-experiment interview. The experimental data were analyzed using descriptive statistics and linear regression analysis. The study deduced that although construction personnel were subjected to excessive sympathetic nervous activity resulting in an increased need for recovery, proper recovery was disrupted due to excessively reduced parasympathetic activities during the day. The result indicated that construction personnel are exposed to excessive cardiovascular risk factors, increasing their vulnerability to endothelial dysfunction, atherosclerosis, and other adverse health outcomes. The findings will impact individual and organizational practices necessary to boost sleep health for proper cardiovascular and cognitive functioning.

ACS Style

Janet M. Nwaogu; Albert P.C. Chan. Work-related stress, psychophysiological strain, and recovery among on-site construction personnel. Automation in Construction 2021, 125, 103629 .

AMA Style

Janet M. Nwaogu, Albert P.C. Chan. Work-related stress, psychophysiological strain, and recovery among on-site construction personnel. Automation in Construction. 2021; 125 ():103629.

Chicago/Turabian Style

Janet M. Nwaogu; Albert P.C. Chan. 2021. "Work-related stress, psychophysiological strain, and recovery among on-site construction personnel." Automation in Construction 125, no. : 103629.

Review article
Published: 10 October 2020 in Computers in Industry
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Modular integrated construction (MiC) is an innovative construction technology wherein complete building modules are produced and preassembled in an offsite factory before their final installation on the building site. It is fundamentally different from and has many advantages over the traditional onsite construction technology. However, it still involves several risks. To successfully implement MiC projects, effective MiC risk management (MiCRM) is crucial. Building information modeling (BIM) and BIM-related digital technologies have been applied to facilitate MiCRM in recent years. While numerous MiC studies exist, a critical analysis of BIM-based MiCRM is still missing. This study aims to conduct a critical survey of BIM-based MiCRM, and to offer recommendations about research gaps and future research directions. This was achieved by systematically identifying and critically reviewing related publications from four outlooks: (1) MiCRM through BIM used alone, (2) MiCRM through BIM used alongside sensing and tracking technologies (STTs), (3) MiCRM through BIM used alongside 3D model creation and comparison technologies (3D-MCCTs), and (4) other applications. Results indicated that using BIM alone for MiCRM has focused more on the design phase. The overall idea to use BIM-STTs integration for MiCRM is very young. In this direction, BIM-RFID integration has received most of the attention, although BIM-GIS integration is rarely explored. There are limited works around integrating BIM with 3D-MCCTs such as photogrammetry and augmented and virtual realities for MiCRM. While schedule- and cost-related risks have gained much attention in current BIM-based MiCRM research, facilities management, sustainability, and safety risks are largely ignored. Based upon identified gaps, this study suggested future research directions, including, e.g.: (1) BIM-based MiCRM software development, (2) fully automated and practical BIM-based MiCRM systems development, and (3) BIM-automatic rule checking integration for MiCRM. This study contributes to a solid understanding of BIM-based MiCRM and delivers a useful reference for its future practice and improvement within the industry.

ACS Style

Amos Darko; Albert P.C. Chan; Yang Yang; Mershack O. Tetteh. Building information modeling (BIM)-based modular integrated construction risk management – Critical survey and future needs. Computers in Industry 2020, 123, 103327 .

AMA Style

Amos Darko, Albert P.C. Chan, Yang Yang, Mershack O. Tetteh. Building information modeling (BIM)-based modular integrated construction risk management – Critical survey and future needs. Computers in Industry. 2020; 123 ():103327.

Chicago/Turabian Style

Amos Darko; Albert P.C. Chan; Yang Yang; Mershack O. Tetteh. 2020. "Building information modeling (BIM)-based modular integrated construction risk management – Critical survey and future needs." Computers in Industry 123, no. : 103327.

Research article
Published: 13 August 2020 in International Journal of Construction Education and Research
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Psychological ill-health conditions have become prominent among construction employees. This study aims to identify construction work-related factors that are likely to expose construction employees to psychological ill-health conditions. To achieve this aim mixed-methods approach was adopted, with the methods of qualitative focus group study first employed to derive unique findings from the experiences, perceptions, and opinions of the research participants. A 42-inventory scale on construction work-related psychological risk factors was developed from the 16 focus group discussions held in Ghana. A comparative survey with 300 construction professionals and construction trade workers was then conducted in Ghana to confirm the findings from the qualitative study and to determine the critical risk factors. The most critical factors ranked by the construction professionals and construction trade workers were tight deadline pressures, and abusive/over-demanding supervision, respectively. Exploratory factor analysis employed revealed seven constructs of the 42 construction work-related risk factors, namely: high task demands, high role demands, poor relationships, poor work conditions, lack of autonomy, lack of feedback, and unfair treatments. Further analysis also revealed a positive correlation between all the factors and psychological health indicators. This study provides valuable insight into the development of preventive psychological health interventions for the construction industry globally.

ACS Style

Genevieve Ataa Fordjour; Albert P. C. Chan; Louis Tuffour-Kwarteng. Exploring Construction Employees’ Perspectives on the Potential Causes of Psychological Health Conditions in the Construction Industry: A Study in Ghana. International Journal of Construction Education and Research 2020, 1 -21.

AMA Style

Genevieve Ataa Fordjour, Albert P. C. Chan, Louis Tuffour-Kwarteng. Exploring Construction Employees’ Perspectives on the Potential Causes of Psychological Health Conditions in the Construction Industry: A Study in Ghana. International Journal of Construction Education and Research. 2020; ():1-21.

Chicago/Turabian Style

Genevieve Ataa Fordjour; Albert P. C. Chan; Louis Tuffour-Kwarteng. 2020. "Exploring Construction Employees’ Perspectives on the Potential Causes of Psychological Health Conditions in the Construction Industry: A Study in Ghana." International Journal of Construction Education and Research , no. : 1-21.

Journal article
Published: 30 July 2020 in Safety Science
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The safety concern and volume of repair, maintenance, alteration and addition (RMAA) works have significantly increased in recent years. RMAA works include a variety of work trades. Electrical and mechanical (E&M) works are regarded as one of the most hazardous trades with numerous complex activities. However, the research on the safety of E&M works in RMAA projects is limited. This study aims to develop a Bayesian network (BN) model that encapsulates the interrelationships between safety factors and safety performance. Survey data are analysed with factor and BN analyses to construct a BN model. Findings show that alcohol consumption and smoking habits of workers exert a considerable influence on the safety performance of workers. A strategy via controlling multiple factors (joint strategies) may even improve safety performance. Analytical results indicate the effectiveness of a joint control of alcohol and smoking habit, safety inspection and procedures factors would be the most effective strategy to improve safety performance. The significance of this study lies in the proffering of a BN model that reveals the interrelationships of the safety factors and safety performance of E&M works in RMAA projects. The findings will help in formulating effective safety management strategies to improve the safety of RMAA works. The BN model can be a practical technique to diagnose effective safety measures for improving safety performance. The research outcomes would be valuable to key project stakeholders of E&M works to achieve better safety performance and bring tremendous value in better safeguarding E&M workers’ health and safety.

ACS Style

Albert P.C. Chan; Francis K.W. Wong; Carol K.H. Hon; Tracy N.Y. Choi. Construction of a Bayesian network model for improving the safety performance of electrical and mechanical (E&M) works in repair, maintenance, alteration and addition (RMAA) projects. Safety Science 2020, 131, 104893 .

AMA Style

Albert P.C. Chan, Francis K.W. Wong, Carol K.H. Hon, Tracy N.Y. Choi. Construction of a Bayesian network model for improving the safety performance of electrical and mechanical (E&M) works in repair, maintenance, alteration and addition (RMAA) projects. Safety Science. 2020; 131 ():104893.

Chicago/Turabian Style

Albert P.C. Chan; Francis K.W. Wong; Carol K.H. Hon; Tracy N.Y. Choi. 2020. "Construction of a Bayesian network model for improving the safety performance of electrical and mechanical (E&M) works in repair, maintenance, alteration and addition (RMAA) projects." Safety Science 131, no. : 104893.

Journal article
Published: 12 May 2020 in Sustainability
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Although numerous studies have considered the topological characteristics and the impact of disruptions in subway systems, their results have not been verified by empirical data. To address this limitation, we used a data set containing 392 detailed records of disruptions to subway services in Beijing from 2011 to 2017. The Spearman rank correlation coefficient analysis results indicate that the delay duration exhibits no significant relationship with the topological characteristics, whereas the reverse is true for the relationship between the number of affected trains and the topological characteristics. The results also demonstrate that subway network expansion will not result in a paradox between convenience and vulnerability from an actual data perspective. Moreover, contrary to previous research results, no significant relationship was found to exist between service interruption impact and the transit and key bridge stations. However, a high degree of clustering, characterized by redundant tracks between neighbours, tends to provide protection against service disruption for stations. In terms of the spatial variation, the influence of the disruption is greater when the station is further from the centre of the line. These results can support sustainable design in subway network planning.

ACS Style

Zhiru Wang; Wubin Ma; Albert Chan. Exploring the Relationships between the Topological Characteristics of Subway Networks and Service Disruption Impact. Sustainability 2020, 12, 3960 .

AMA Style

Zhiru Wang, Wubin Ma, Albert Chan. Exploring the Relationships between the Topological Characteristics of Subway Networks and Service Disruption Impact. Sustainability. 2020; 12 (10):3960.

Chicago/Turabian Style

Zhiru Wang; Wubin Ma; Albert Chan. 2020. "Exploring the Relationships between the Topological Characteristics of Subway Networks and Service Disruption Impact." Sustainability 12, no. 10: 3960.

Journal article
Published: 11 April 2020 in Materials
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In recent years, personal cooling has aroused much attention because it can achieve both localized high-level thermal comfort and build energy savings. In this study, a novel hybrid personal cooling vest (PCV) incorporated with phase change materials (PCMs) and ventilation fans was developed, and its efficacy was investigated by human trials in a hot-humid climate chamber. Three generally accepted indices (thermal load, Q; thermal sensation, TS; and physiological strain index, PSI) and a new proposed index (cumulative heat storage, CHS) during human trials were comparatively studied between the two human trial groups, i.e., the PCV group (wearing the PCV) and the CON group (without PCV). Results found that TS, PSI, and CHS were significantly reduced by the PCV, which suggests that the PCV can significantly improve both the perceptual and physiological strain. In addition, a strong linear relationship (r2 = 0.8407) was found between the proposed index of CHS with PSI, which indicates the applicability and reliability of CHS for assessing physiological heat strain.

ACS Style

Xiaoyang Ni; Tianyu Yao; Ying Zhang; Yijie Zhao; Qin Hu; Albert P.C. Chan. Experimental Study on the Efficacy of a Novel Personal Cooling Vest Incorporated with Phase Change Materials and Fans. Materials 2020, 13, 1801 .

AMA Style

Xiaoyang Ni, Tianyu Yao, Ying Zhang, Yijie Zhao, Qin Hu, Albert P.C. Chan. Experimental Study on the Efficacy of a Novel Personal Cooling Vest Incorporated with Phase Change Materials and Fans. Materials. 2020; 13 (8):1801.

Chicago/Turabian Style

Xiaoyang Ni; Tianyu Yao; Ying Zhang; Yijie Zhao; Qin Hu; Albert P.C. Chan. 2020. "Experimental Study on the Efficacy of a Novel Personal Cooling Vest Incorporated with Phase Change Materials and Fans." Materials 13, no. 8: 1801.

Journal article
Published: 07 April 2020 in Journal of Cleaner Production
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The consideration of the regional context in the development of green building rating systems is well established in the extant literature, and this informs the development of a sustainability assessment method for sub-Saharan Africa. Hence, a multi-expert consultation method was carried out in Nigeria which is the largest economy in the region. This was performed via a structured questionnaire survey and interview approaches to identify the key sustainability assessment criteria, assign score-weights to the various criteria, and establish the certification grading system of buildings. The developed Building Sustainability Assessment Method (BSAM) scheme and its weighted criteria were validated using two existing building case studies. The established BSAM scheme was compared to six widely used green building rating systems. The comparative analysis reveals that the score-weights and priorities of the BSAM scheme were remarkably different from the existing rating systems. The study findings also show the increasing focus on the indoor environmental quality and energy criteria by all the rating systems. The developed BSAM scheme, meanwhile, has adequately considered the three main pillars of sustainable development unlike the existing green rating tools. Hence, it is expected for the proposed BSAM scheme to promote greener buildings and enhance sustainable urban development in the region.

ACS Style

Timothy O. Olawumi; Daniel W.M. Chan; Albert P.C. Chan; Johnny K.W. Wong. Development of a building sustainability assessment method (BSAM) for developing countries in sub-Saharan Africa. Journal of Cleaner Production 2020, 263, 121514 .

AMA Style

Timothy O. Olawumi, Daniel W.M. Chan, Albert P.C. Chan, Johnny K.W. Wong. Development of a building sustainability assessment method (BSAM) for developing countries in sub-Saharan Africa. Journal of Cleaner Production. 2020; 263 ():121514.

Chicago/Turabian Style

Timothy O. Olawumi; Daniel W.M. Chan; Albert P.C. Chan; Johnny K.W. Wong. 2020. "Development of a building sustainability assessment method (BSAM) for developing countries in sub-Saharan Africa." Journal of Cleaner Production 263, no. : 121514.

Review article
Published: 15 January 2020 in Automation in Construction
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The Architecture, Engineering and Construction (AEC) industry is fraught with complex and difficult problems. Artificial intelligence (AI) represents a powerful tool to assist in addressing these problems. Therefore, over the years, researchers have been conducting research on AI in the AEC industry (AI-in-the-AECI). In this paper, the first comprehensive scientometric study appraising the state-of-the-art of research on AI-in-the-AECI is presented. The science mapping method was used to systematically and quantitatively analyze 41,827 related bibliographic records retrieved from Scopus. The results indicated that genetic algorithms, neural networks, fuzzy logic, fuzzy sets, and machine learning have been the most widely used AI methods in AEC. Optimization, simulation, uncertainty, project management, and bridges have been the most commonly addressed topics/issues using AI methods/concepts. The primary value and uniqueness of this study lies in it being the first in providing an up-to-date inclusive, big picture of the literature on AI-in-the-AECI. This study adds value to the AEC literature through visualizing and understanding trends and patterns, identifying main research interests, journals, institutions, and countries, and how these are linked within now-available studies on AI-in-the-AECI. The findings bring to light the deficiencies in the current research and provide paths for future research, where they indicated that future research opportunities lie in applying robotic automation and convolutional neural networks to AEC problems. For the world of practice, the study offers a readily-available point of reference for practitioners, policy makers, and research and development (R&D) bodies. This study therefore raises the level of awareness of AI and facilitates building the intellectual wealth of the AI area in the AEC industry.

ACS Style

Amos Darko; Albert P.C. Chan; Michael A. Adabre; David J. Edwards; M. Reza Hosseini; Ernest E. Ameyaw. Artificial intelligence in the AEC industry: Scientometric analysis and visualization of research activities. Automation in Construction 2020, 112, 103081 .

AMA Style

Amos Darko, Albert P.C. Chan, Michael A. Adabre, David J. Edwards, M. Reza Hosseini, Ernest E. Ameyaw. Artificial intelligence in the AEC industry: Scientometric analysis and visualization of research activities. Automation in Construction. 2020; 112 ():103081.

Chicago/Turabian Style

Amos Darko; Albert P.C. Chan; Michael A. Adabre; David J. Edwards; M. Reza Hosseini; Ernest E. Ameyaw. 2020. "Artificial intelligence in the AEC industry: Scientometric analysis and visualization of research activities." Automation in Construction 112, no. : 103081.

Journal article
Published: 06 January 2020 in Journal of Cleaner Production
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For a significant thrive towards sustainable development globally, sustainability attainment in affordable housing for low-income earners is fundamental. Identifying obstacles to sustainability attainment is primal to successful policy implementation. This study aims to identify critical barriers (CBs) to sustainable affordable housing (SAH) from an international perspective. To this end, 26 barriers were identified from comprehensive literature review and empirical questionnaire survey was conducted with 51 affordable housing experts from various countries around the world. Factor analysis on identified CBs revealed five components: green retrofit-related; land market-related; incentive-related; housing market-related and infrastructural-related barriers. Moreover, rank agreement analysis of the components showed high agreement levels on ‘incentive-related barriers’ and ‘housing market-related barriers’ between experts from developing and developed countries. The research findings are relevant to policy-makers and practitioners in adopting tactical measures for worldwide SAH. Besides, the identified CBs serve as recommended set of barriers for further empirical study to unearth local variations and context specific barriers to SAH in most countries.

ACS Style

Michael Atafo Adabre; Albert P.C. Chan; Amos Darko; Robert Osei-Kyei; Rotimi Abidoye; Theophilus Adjei-Kumi. Critical barriers to sustainability attainment in affordable housing: International construction professionals’ perspective. Journal of Cleaner Production 2020, 253, 119995 .

AMA Style

Michael Atafo Adabre, Albert P.C. Chan, Amos Darko, Robert Osei-Kyei, Rotimi Abidoye, Theophilus Adjei-Kumi. Critical barriers to sustainability attainment in affordable housing: International construction professionals’ perspective. Journal of Cleaner Production. 2020; 253 ():119995.

Chicago/Turabian Style

Michael Atafo Adabre; Albert P.C. Chan; Amos Darko; Robert Osei-Kyei; Rotimi Abidoye; Theophilus Adjei-Kumi. 2020. "Critical barriers to sustainability attainment in affordable housing: International construction professionals’ perspective." Journal of Cleaner Production 253, no. : 119995.

Journal article
Published: 02 December 2019 in International Journal of Environmental Research and Public Health
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Background: Prior research has found poor health among construction workers is related to poor nutrition and low fruit and vegetable consumption. Promoting nutrition knowledge can improve dietary behaviors, but nutrition education among construction workers is limited. We evaluated the effectiveness of nutrition education on fruit and vegetable consumption among construction apprentices. In this pilot evaluative study, 36 construction apprentices enrolled in skill training programs received two 1.5-hour nutrition classes. Twelve questions addressing healthy eating knowledge and behavior were administered at baseline, after intervention, and at three months follow-up. After intervention, daily fruit consumption improved from baseline (mean (s.d.) =1.42 (0.55)) to post intervention (mean (s.d.) =1.72 (0.70)) (p < 0.05) and to three months follow-up (mean(s.d.) =1.94 (0.83)) (p > 0.05). After intervention, daily vegetable consumption improved from baseline (mean (s.d.) =1.67 (0.59)) to post intervention (mean (s.d.) =1.97 (0.74)) (p < 0.05) and to three months follow-up (mean (s.d.) = 2.19 (0.82)) (p > 0.05). Younger construction apprentices showed better healthy eating knowledge at post intervention and three months follow-up (p > 0.05). Working in normal hours showed better healthy eating knowledge at post intervention but not at three months follow up (p > 0.05). Both age groups and working hours did not show significant differences on healthy eating behaviour. Nutrition education implemented as a three-hour session within skill courses may possibly promote fruit and vegetable consumption among construction apprentices. Further research with control group is required to support the findings in this study.

ACS Style

Joanne Chung; Albert P. C. Chan. Building Healthy Eating Knowledge and Behavior: An Evaluation of Nutrition Education in a Skill Training Course for Construction Apprentices. International Journal of Environmental Research and Public Health 2019, 16, 4852 .

AMA Style

Joanne Chung, Albert P. C. Chan. Building Healthy Eating Knowledge and Behavior: An Evaluation of Nutrition Education in a Skill Training Course for Construction Apprentices. International Journal of Environmental Research and Public Health. 2019; 16 (23):4852.

Chicago/Turabian Style

Joanne Chung; Albert P. C. Chan. 2019. "Building Healthy Eating Knowledge and Behavior: An Evaluation of Nutrition Education in a Skill Training Course for Construction Apprentices." International Journal of Environmental Research and Public Health 16, no. 23: 4852.

Journal article
Published: 04 November 2019 in International Journal of Housing Markets and Analysis
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Purpose Booms and bubbles are inevitable in the real estate industry. Loss of profits, bankruptcy and economic slowdown are indicators of the adverse effects of fluctuations in property prices. Models providing a reliable forecast of property prices are vital for mitigating the effects of these variations. Hence, this study aims to investigate the use of artificial intelligence (AI) for the prediction of property price index (PPI). Design/methodology/approach Information on the variables that influence property prices was collected from reliable sources in Hong Kong. The data were fitted to an autoregressive integrated moving average (ARIMA), artificial neural network (ANN) and support vector machine (SVM) models. Subsequently, the developed models were used to generate out-of-sample predictions of property prices. Findings Based on the prediction evaluation metrics, it was revealed that the ANN model outperformed the SVM and ARIMA models. It was also found that interest rate, unemployment rate and household size are the three most significant variables that could influence the prices of properties in the study area. Practical implications The findings of this study provide useful information to stakeholders for policy formation and strategies for real estate investments and sustained growth of the property market. Originality/value The application of the SVM model in the prediction of PPI in the study area is lacking. This study evaluates its performance in relation to ANN and ARIMA.

ACS Style

Rotimi Boluwatife Abidoye; Albert P.C. Chan; Funmilayo Adenike Abidoye; Olalekan Shamsideen Oshodi. Predicting property price index using artificial intelligence techniques. International Journal of Housing Markets and Analysis 2019, 12, 1072 -1092.

AMA Style

Rotimi Boluwatife Abidoye, Albert P.C. Chan, Funmilayo Adenike Abidoye, Olalekan Shamsideen Oshodi. Predicting property price index using artificial intelligence techniques. International Journal of Housing Markets and Analysis. 2019; 12 (6):1072-1092.

Chicago/Turabian Style

Rotimi Boluwatife Abidoye; Albert P.C. Chan; Funmilayo Adenike Abidoye; Olalekan Shamsideen Oshodi. 2019. "Predicting property price index using artificial intelligence techniques." International Journal of Housing Markets and Analysis 12, no. 6: 1072-1092.

Journal article
Published: 19 August 2019 in Cities
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Regardless of how clean a city may appear to be, it can be tainted by the hidden forms of corruption. Hence, examining the prevalence of corruption and the effectiveness of anti-corruption measures (ACMs) are necessary to provide the information needed to promote or attain corruption-free city. However, determining the extent of corruption or the effectiveness of ACMs, especially regarding infrastructure project procurement and management, poses a new challenge. This study, therefore, employs a soft computing approach known as fuzzy synthetic evaluation to examine the effectiveness of ACMs. Twenty-six ACMs designed to curb the corrupt practices in infrastructure procurement processes are identified through a systematic review of the extant literature. Then, an empirical survey is conducted with experts in infrastructure procurement and management processes from Hong Kong. Results reveal that probing and transparency are the most effective ACMs. This empirical research is one of the first to examine the effectiveness of ACMs in infrastructure project procurement and management, thereby extending the body of knowledge on corruption-related studies in project (procurement and management)-related research and corruption-free cities. This study also offers practical implications that will inform industry practitioners, policymakers, and anti-corruption institutions about the effectiveness of ACMs and the need for improvement of less effective measures. Finally, this work contributes to the development of a holistic approach to corruption prevention in infrastructure project procurement and management.

ACS Style

Emmanuel Kingsford Owusu; Albert P.C. Chan; Jackie Yang; Erika Pärn. Towards corruption-free cities: Measuring the effectiveness of anti-corruption measures in infrastructure project procurement and management in Hong Kong. Cities 2019, 96, 102435 .

AMA Style

Emmanuel Kingsford Owusu, Albert P.C. Chan, Jackie Yang, Erika Pärn. Towards corruption-free cities: Measuring the effectiveness of anti-corruption measures in infrastructure project procurement and management in Hong Kong. Cities. 2019; 96 ():102435.

Chicago/Turabian Style

Emmanuel Kingsford Owusu; Albert P.C. Chan; Jackie Yang; Erika Pärn. 2019. "Towards corruption-free cities: Measuring the effectiveness of anti-corruption measures in infrastructure project procurement and management in Hong Kong." Cities 96, no. : 102435.

Journal article
Published: 16 May 2019 in Journal of Cleaner Production
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The use of structural steelwork (SS) for buildings continues to grow worldwide owing to its sustainable benefits. However, the market share of SS in the building sector of Hong Kong greatly lags behind other markets. This paper focuses on providing comprehensive understanding of the issues that greatly drive or inhibit the SS adoption in Hong Kong from a project lifecycle perspective. The methodology encompasses both qualitative and quantitative approaches. Semi-structured interviews were conducted with 28 professionals from developer, structural engineering consultant, main contractor, steel specialist contractor, and steel stockholder companies. The results identified 12 driving factors and 25 barriers affecting SS adoption in Hong Kong. A questionnaire survey with 118 practitioners was conducted to identify the most important driving factors and barriers. The results revealed that “increased speed of construction” and “must-have requirements” were the two most important driving factors; while “shortage of skilled labor”, “shortage of supervisors working directly under main contractors”, “high construction costs”, “shortage of experienced designers and draughts men”, and “lack of education, training, and design experience on structural steelwork” were the five most critical barriers. This may imply that education and training is needed to improve knowledge and skills of professionals and workers, and thus to ensure adequate supply of manpower. The findings of this study not only contribute to the existing body of knowledge on SS practices, but also provide valuable references for helping practitioners and policy makers to promote sustainable construction methods within the building sector.

ACS Style

Yang Yang; Albert Ping Chuen Chan; Amos Darko; Ran Gao; Hafiz Zahoor. Factors affecting structural steelwork adoption from a project lifecycle perspective: The case of Hong Kong. Journal of Cleaner Production 2019, 230, 634 -646.

AMA Style

Yang Yang, Albert Ping Chuen Chan, Amos Darko, Ran Gao, Hafiz Zahoor. Factors affecting structural steelwork adoption from a project lifecycle perspective: The case of Hong Kong. Journal of Cleaner Production. 2019; 230 ():634-646.

Chicago/Turabian Style

Yang Yang; Albert Ping Chuen Chan; Amos Darko; Ran Gao; Hafiz Zahoor. 2019. "Factors affecting structural steelwork adoption from a project lifecycle perspective: The case of Hong Kong." Journal of Cleaner Production 230, no. : 634-646.

Journal article
Published: 18 April 2019 in International Journal of Environmental Research and Public Health
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Construction workers undertake demanding physical work and face high risk of injuries in poor working environments. This case-control study investigated the extent of their musculoskeletal pain incidence at work. A total of 2021 construction workers in different trades were interviewed on-site in a survey from December 2017 to December 2018. The survey results revealed that the pain prevalence of the subjects in the last 24 h was 10.6 %. The worst and top most common pain spots caused by work were central lower back, left/right shoulders, and knees. Regarding pain management, their most common method was to ignore the pain (21.4%). The average percentage of pain relief after receiving treatment in the 24 h was 37.12%. Besides, significant differences were found between the pain and non-pain groups regarding their employment duration in current job or their average sleep duration in the 24 h. The study showed that those with multiple and bilateral pain sites had pain interference on their living activities.

ACS Style

Joanne W.Y. Chung; Henry C.F. So; Vincent C.M. Yan; Phoebe S.T. Kwok; Bonny Y.M. Wong; Jackie Y. Yang; Albert P.C. Chan. A Survey of Work-Related Pain Prevalence Among Construction Workers in Hong Kong: A Case-Control Study. International Journal of Environmental Research and Public Health 2019, 16, 1404 .

AMA Style

Joanne W.Y. Chung, Henry C.F. So, Vincent C.M. Yan, Phoebe S.T. Kwok, Bonny Y.M. Wong, Jackie Y. Yang, Albert P.C. Chan. A Survey of Work-Related Pain Prevalence Among Construction Workers in Hong Kong: A Case-Control Study. International Journal of Environmental Research and Public Health. 2019; 16 (8):1404.

Chicago/Turabian Style

Joanne W.Y. Chung; Henry C.F. So; Vincent C.M. Yan; Phoebe S.T. Kwok; Bonny Y.M. Wong; Jackie Y. Yang; Albert P.C. Chan. 2019. "A Survey of Work-Related Pain Prevalence Among Construction Workers in Hong Kong: A Case-Control Study." International Journal of Environmental Research and Public Health 16, no. 8: 1404.