This page has only limited features, please log in for full access.

Unclaimed
Clyde Li
Sino-Australia Joint Research Center in BIM and Smart Construction, College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518000, China

Basic Info

Basic Info is private.

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Review
Published: 06 August 2021 in Sustainability
Reads 0
Downloads 0

Emerging advanced technologies (EAT) have been regarded as significant technological innovations which can greatly improve the transforming construction industry. Given that research on EAT related to the management of prefabricated construction (MPC) has not yet been conducted, various researchers require a state-of-the-art summary of EAT research and implementation in the MPC field. The purpose of this paper is to provide a systematic literature review by analysing the selected 526 related publications in peer-reviewed leading journals during 2009–2020. Through a thorough review of selected papers from the state-of-the-art academic journals in the construction industry, EAT is recognised as the key area affecting the development of the MPC discipline. This study has value in offering original insights to summarise the advanced status quo of this field, helping subsequent researchers gain an in-depth understanding of the underlying structure of this field and allowing them to continue future research directions.

ACS Style

Clyde Li; Mingcong Hu; Bing Xiao; Zhe Chen; Vivian Tam; Yiyu Zhao. Mapping the Knowledge Domains of Emerging Advanced Technologies in the Management of Prefabricated Construction. Sustainability 2021, 13, 8800 .

AMA Style

Clyde Li, Mingcong Hu, Bing Xiao, Zhe Chen, Vivian Tam, Yiyu Zhao. Mapping the Knowledge Domains of Emerging Advanced Technologies in the Management of Prefabricated Construction. Sustainability. 2021; 13 (16):8800.

Chicago/Turabian Style

Clyde Li; Mingcong Hu; Bing Xiao; Zhe Chen; Vivian Tam; Yiyu Zhao. 2021. "Mapping the Knowledge Domains of Emerging Advanced Technologies in the Management of Prefabricated Construction." Sustainability 13, no. 16: 8800.

Journal article
Published: 01 June 2021 in Sustainable Energy Technologies and Assessments
Reads 0
Downloads 0

Global governments only collect landfill taxes and fees for the disposal of most construction waste and ignore discount and economic compensation measures. Thus, stimulating construction contractors’ enthusiasm for recycling waste resources becomes difficult, and construction waste utilization remains at a comparatively low level. This study first constructs a compensation model of evolutionary game for construction waste treatment costs, wherein the government, developer, and contractor are the players. It aims to solve the corresponding game equilibrium points. Then, this work establishes a stock-flow diagram of the evolutionary game among the three players using the system dynamics principle to analyze the stability of the local equilibrium points obtained during the evolutionary game. The research conclusion can improve the theory of construction waste management in the theoretical contribution, especially in the field of economic incentive theory. On the other hand, the practical significance of this paper lies in exploring the active measures to lead the contractors and developers willing to recycle and reuse waste, and promoting the recycling rate of construction waste.

ACS Style

Jingkuang Liu; Yanqing Yi; Clyde Zhengdao Li; Yiyu Zhao; Yanqing Xiao. A model for analyzing compensation for the treatment costs of construction waste. Sustainable Energy Technologies and Assessments 2021, 46, 101214 .

AMA Style

Jingkuang Liu, Yanqing Yi, Clyde Zhengdao Li, Yiyu Zhao, Yanqing Xiao. A model for analyzing compensation for the treatment costs of construction waste. Sustainable Energy Technologies and Assessments. 2021; 46 ():101214.

Chicago/Turabian Style

Jingkuang Liu; Yanqing Yi; Clyde Zhengdao Li; Yiyu Zhao; Yanqing Xiao. 2021. "A model for analyzing compensation for the treatment costs of construction waste." Sustainable Energy Technologies and Assessments 46, no. : 101214.

Journal article
Published: 30 April 2021 in Automation in Construction
Reads 0
Downloads 0

The rapidly expanding number of IoT-based camera devices makes smart work packaging (SWP) easier to access massive construction workers' personal image information for occupational health and safety (OHS) status monitoring. SWP can then transmit these personal data to the cloud for training the machine learning models and offer safety alerts or health insights. However, there are two urgently important challenges. Firstly, the machine learning model needs to aggregate the SWPs' image data from each construction worker, which may pose a risk to private data leakage without strict privacy and security agreement. In addition, the machine learning models trained on all SWPs' image data may compromise the personalization of image-based OHS status monitoring for each construction worker. To address the above issues, this study proposes a FedSWP framework, the federated transfer learning-enabled SWP for protecting the personal image information of construction workers in OHS management. FedSWP executes the gradient parameters aggregation through federated learning for the image data in each SWP and builds relatively personalized models by transfer learning. Crane operators' facial fatigue monitoring experiments are conducted and have evaluated that FedSWP can achieve accurate and personalized safety alerts and healthcare. This study paves the way for the generalization and extension of FedSWP in many construction OHS applications.

ACS Style

Xiao Li; Hung-Lin Chi; Weisheng Lu; Fan Xue; Jianhuan Zeng; Clyde Zhengdao Li. Federated transfer learning enabled smart work packaging for preserving personal image information of construction worker. Automation in Construction 2021, 128, 103738 .

AMA Style

Xiao Li, Hung-Lin Chi, Weisheng Lu, Fan Xue, Jianhuan Zeng, Clyde Zhengdao Li. Federated transfer learning enabled smart work packaging for preserving personal image information of construction worker. Automation in Construction. 2021; 128 ():103738.

Chicago/Turabian Style

Xiao Li; Hung-Lin Chi; Weisheng Lu; Fan Xue; Jianhuan Zeng; Clyde Zhengdao Li. 2021. "Federated transfer learning enabled smart work packaging for preserving personal image information of construction worker." Automation in Construction 128, no. : 103738.

Conference paper
Published: 03 February 2021 in Proceedings of the 23rd International Symposium on Advancement of Construction Management and Real Estate
Reads 0
Downloads 0

Due to the advantages of high production efficiency, low artificial demand, resource conservation and reduction of environmental pollution, prefabricated buildings have been vigorously promoted in recent years, however, the proportion and scale of which in China are still low, which is far lower than the goal proposed by the Ministry of Housing and Urban-Rural Development that the proportion of prefabricated buildings should account for more than 15% of the newly built buildings in the country before 2020. Adopting the theory of system dynamics theory, this paper first divided the large-scale development of prefabricated buildings into four subsystems: policy, technology, macro economy and market. Then this paper analyzed the inherent interactions between components of each subsystem. The system dynamics model was established to identify the key influencing factors. Through a qualitative analysis on the positive and negative feedback loops of the system, this paper gave some corresponding suggestions expected to have certain reference value for the formulation of various policies, regulations and safeguard measures in the process of promoting the large-scale development of prefabricated buildings.

ACS Style

Yu Bian; Clyde Zhengdao Li; Ru Sun. Research on the Large-Scale Development of Prefabricated Buildings Using System Dynamics. Proceedings of the 23rd International Symposium on Advancement of Construction Management and Real Estate 2021, 570 -579.

AMA Style

Yu Bian, Clyde Zhengdao Li, Ru Sun. Research on the Large-Scale Development of Prefabricated Buildings Using System Dynamics. Proceedings of the 23rd International Symposium on Advancement of Construction Management and Real Estate. 2021; ():570-579.

Chicago/Turabian Style

Yu Bian; Clyde Zhengdao Li; Ru Sun. 2021. "Research on the Large-Scale Development of Prefabricated Buildings Using System Dynamics." Proceedings of the 23rd International Symposium on Advancement of Construction Management and Real Estate , no. : 570-579.

Journal article
Published: 24 December 2020 in Journal of Cleaner Production
Reads 0
Downloads 0

Energy-related stakeholders play a critical role in energy-saving and emission reduction. However, most previous studies focused on only a few stakeholders (e.g., occupant, designer and owner). Therefore, there is a lack of systematic analysis of energy-related stakeholders. Improving building energy efficiency requires the collaboration of all stakeholders in the building lifecycle. This study applies a two-mode social network model to investigate the stakeholders’ power over the impact issues of building energy efficiency. Results show that all issues can be addressed by at least two stakeholders, thereby indicating the potential of collaboration in building energy management. Designers, manufacturers, commissioning agents and researchers are the most influential stakeholders with the highest degree centrality, betweenness centrality and eigenvector centrality. Insufficient knowledge and experience, lack of information integrity and unclear responsibility are the most influential impact issues. With the density of interaction being 1.000, nine core stakeholders (i.e. owner, designer, contractor, subcontractor, supervisor, manufacturer, commissioning agent, energy manager and researcher) and four core issues (i.e. unclear responsibility, poor collaboration and communication, insufficient knowledge and experience, and lack of information integrity) have intensive relationships. The core stakeholders account for 75% of the total stakeholders, whereas the core issues account for 25% of the total issues. Moreover, five strategies that are useful in promoting collaboration are proposed and validated. After the proposed strategies are implemented, the density of the collaboration network increased from 1.242 to 2.652. This study is not only expected to help researchers in understanding the complex interrelationships between stakeholders and issues but also practitioners in promoting effective collaboration strategies.

ACS Style

Xiaoxiao Xu; Bing Xiao; Clyde Zhengdao Li. Stakeholders’ power over the impact issues of building energy performance gap: A two-mode social network analysis. Journal of Cleaner Production 2020, 289, 125623 .

AMA Style

Xiaoxiao Xu, Bing Xiao, Clyde Zhengdao Li. Stakeholders’ power over the impact issues of building energy performance gap: A two-mode social network analysis. Journal of Cleaner Production. 2020; 289 ():125623.

Chicago/Turabian Style

Xiaoxiao Xu; Bing Xiao; Clyde Zhengdao Li. 2020. "Stakeholders’ power over the impact issues of building energy performance gap: A two-mode social network analysis." Journal of Cleaner Production 289, no. : 125623.

Review
Published: 20 September 2020 in Renewable and Sustainable Energy Reviews
Reads 0
Downloads 0

Energy consumption of buildings is at the forefront of the total energy consumption list, and its environmental impact is increasing, thus making construction industry as a key player in energy. A systematic and comprehensive life cycle perspective assessment of building energy is crucial for maintaining project sustainability. Building energy analysis from life cycle perspective has been increasingly favoured by scholars. However, the links and contents of many literatures have not been summarized and lacking systematic literature research. This review-based research used a holistic analysis approach as the framework. Bibliometrics method in the first stage was used to select 255 papers published during 2009–2019 related to life cycle energy of buildings (LCE-B). Scientometric analysis in the second stage was adopted for identifying the journal sources, scholars, regions and articles that have been fruitful and influential in LCE-B research, and keywords analysis was proposed to preliminarily explore the research topics in the domain (e.g. analysis of optimisation). Results showed that BIM and multi-objective optimisation have become research hotspots recently. An in-depth qualitative discussion in the last stage was conducted to achieve three main objectives: (1) summarise mainstream research topics (e.g. calculation and parameter determination of embodied energy); (2) discuss existing research gaps (e.g. the spatial heterogeneity of embodied energy); and (3) identify future research directions. This study provides a comprehensive knowledge framework combined with philosophical theories that links current research fields with future research trends, providing researchers with multi-disciplinary guidance to gain insight into the latest research on LCE-B.

ACS Style

Clyde Zhengdao Li; Xulu Lai; Bing Xiao; Vivian W.Y. Tam; Shan Guo; Yiyu Zhao. A holistic review on life cycle energy of buildings: An analysis from 2009 to 2019. Renewable and Sustainable Energy Reviews 2020, 134, 110372 .

AMA Style

Clyde Zhengdao Li, Xulu Lai, Bing Xiao, Vivian W.Y. Tam, Shan Guo, Yiyu Zhao. A holistic review on life cycle energy of buildings: An analysis from 2009 to 2019. Renewable and Sustainable Energy Reviews. 2020; 134 ():110372.

Chicago/Turabian Style

Clyde Zhengdao Li; Xulu Lai; Bing Xiao; Vivian W.Y. Tam; Shan Guo; Yiyu Zhao. 2020. "A holistic review on life cycle energy of buildings: An analysis from 2009 to 2019." Renewable and Sustainable Energy Reviews 134, no. : 110372.

Review article
Published: 03 April 2020 in Journal of Cleaner Production
Reads 0
Downloads 0

Information technologies are increasingly adopted across the world to promote the efficiency of construction and demolition (C&D) waste management and alleviate the environmental and social effects of waste disposal. In addressing management issues of C&D waste by information technologies, several studies have been published by international peer-reviewing journals related to construction management over the past decades. However, a systematic summary on the research development in information technologies used in C&D waste management discipline is lacking. Therefore, this study examines the latest research situation in this discipline by analysing published construction management research in peer-reviewing journals in the period of 2000–2019, and 57 related papers are collected by filtering. The characteristics of the collected papers are classified according to the following criteria: application scenarios in C&D waste management and different technologies. Eight categories of present advanced technologies used in C&D waste management are identified, namely, building information modelling, geographic information system, big data, radio frequency identification, image recognition technology, image analysis, global positioning system and barcode technology. A critical analysis of the identified technologies is conducted in accordance with their characteristics and applications. This study also performs the scientometric analysis of the collected papers by VOSviewer. The limitations of information technologies and the recommendations for potential future research directions are presented on the basis of the analytical review.

ACS Style

Clyde Zhengdao Li; Yiyu Zhao; Bing Xiao; Bo Yu; Vivian W.Y. Tam; Zhe Chen; Yingyi Ya. Research trend of the application of information technologies in construction and demolition waste management. Journal of Cleaner Production 2020, 263, 121458 .

AMA Style

Clyde Zhengdao Li, Yiyu Zhao, Bing Xiao, Bo Yu, Vivian W.Y. Tam, Zhe Chen, Yingyi Ya. Research trend of the application of information technologies in construction and demolition waste management. Journal of Cleaner Production. 2020; 263 ():121458.

Chicago/Turabian Style

Clyde Zhengdao Li; Yiyu Zhao; Bing Xiao; Bo Yu; Vivian W.Y. Tam; Zhe Chen; Yingyi Ya. 2020. "Research trend of the application of information technologies in construction and demolition waste management." Journal of Cleaner Production 263, no. : 121458.

Journal article
Published: 23 March 2020 in Computers in Industry
Reads 0
Downloads 0

This research has aimed itself at capitalizing the benefits of CPS-enabled visibility and traceability technology for adaptive synchronization of pick-and-sort ecommerce order fulfilment. With assistance of IoT systems, the involved men, materials, and machines are turned into smart objects, deploying in the real-time environment. According to the real-time data collected from working stages, an adaptive synchronization mechanism with associated HGA-VNS algorithm is proposed to balance the picking simultaneity and sorting punctuality. Picking simultaneity attempts to make the items of a pick wave to be picked by several pickers in their particular working zone simultaneously and finished in a same time window, so that the subsequent sorting process could be started as early as possible. Sortation punctuality aims to ensure that the due date of an individual order is satisfied. The presented method is verified and evaluated via a case study. Trade-off analysis and sensitivity analysis are also examined with several key findings, considering varied order fulfilment scenarios such as slack / busy season, zoning effects, and item assignment policy.

ACS Style

Xiang T.R. Kong; Xuan Yang; K.L. Peng; Clyde Zhengdao Li. Cyber physical system-enabled synchronization mechanism for pick-and-sort ecommerce order fulfilment. Computers in Industry 2020, 118, 103220 .

AMA Style

Xiang T.R. Kong, Xuan Yang, K.L. Peng, Clyde Zhengdao Li. Cyber physical system-enabled synchronization mechanism for pick-and-sort ecommerce order fulfilment. Computers in Industry. 2020; 118 ():103220.

Chicago/Turabian Style

Xiang T.R. Kong; Xuan Yang; K.L. Peng; Clyde Zhengdao Li. 2020. "Cyber physical system-enabled synchronization mechanism for pick-and-sort ecommerce order fulfilment." Computers in Industry 118, no. : 103220.

Journal article
Published: 06 February 2020 in Journal of Cleaner Production
Reads 0
Downloads 0

Occupant characteristics are critical factors that have a significant impact on electricity consumption in residential buildings, which have attracted increasing attention in the research field of building energy. This study analyses the influencing of occupant characteristic-related factors on electricity consumption in residential buildings with the consideration of different targets of electricity consumption, particularly by developing a statistical model based on a large data set published by the US Department of Energy. Results show that ECRB can be substantially affected by occupant characteristic-related factors, including ‘age of householders’, ‘household size’, ‘income’, ‘education level’, ‘type of occupancy’ and ‘length of residency’. They could explain 10.70% of the variance in electricity consumption. In which, type of occupancy’ has the largest impact, followed by ‘education level’, ‘length of residency’, ‘household size’ and ‘income’. It is also found that there are differences between some occupant characteristics corresponding to different occupant behaviors. Additionally, this study conducted an in-depth analysis of the relationship between occupant behaviour (including the use of energy star appliances, frequency appliances used, energy audit and insulation adding) and occupant characteristic-related factors. The analysis method serves as an effective tool for quantitatively evaluating the effect of various occupant characteristics in occupant behaviour modelling and building energy simulation, offering valuable references for practitioners, such that the appropriate strategies for electricity consumption saving can be selected in advanced.

ACS Style

Xiaoxiao Xu; Bing Xiao; Clyde Zhengdao Li. Critical factors of electricity consumption in residential buildings: An analysis from the point of occupant characteristics view. Journal of Cleaner Production 2020, 256, 120423 .

AMA Style

Xiaoxiao Xu, Bing Xiao, Clyde Zhengdao Li. Critical factors of electricity consumption in residential buildings: An analysis from the point of occupant characteristics view. Journal of Cleaner Production. 2020; 256 ():120423.

Chicago/Turabian Style

Xiaoxiao Xu; Bing Xiao; Clyde Zhengdao Li. 2020. "Critical factors of electricity consumption in residential buildings: An analysis from the point of occupant characteristics view." Journal of Cleaner Production 256, no. : 120423.

Journal article
Published: 01 November 2019 in Journal of Cleaner Production
Reads 0
Downloads 0

Large-scale demolition waste was generated during urban renewal. How to accurately quantify the potential of recycling large amounts of demolition waste has been widely considered a prerequisite for effective waste management, as it contributes to numbers and scales of recycling enterprises being managed and planned in advance. However, there is limited research, if any, focusing on this niche area. This study aims to quantify the potential of recycling demolition waste amidst urban renewal by considering actual market situations and different waste types. Firstly, the whole recycling process of demolition waste was scrutinized by using the free-flow mapping technique. Models for quantifying recycling potential of non-inert and inert demolition waste were then established, respectively, based on economic value and the principle of mass conservation. Finally, a case study was conducted to verify the models by putting them into the context of Shenzhen, a young and vibrating city in China but subject to massive urban renewal pressure. Results show that the recycling process of demolition waste is mainly divided into offsite and onsite recycling, both including five stages, viz., waste generation, on-site treatment, transportation, recycling, and product regeneration. In addition, different types of demolition waste have their respective recycling potential. The recycling potential of non-inert demolition waste is RMB 19,315.85 million yuan. In contrast, the recycling potential of inert demolition waste depends on types of recyclable products, with 18.41 million tons of recyclable bricks, 7.02 million tons of mortar, 28.36 million tons of aggregate, and 4.16 million tons of lightweight wallboard. Findings of this study improve the accuracy of the existing quantification methods. The research provides useful reference for the recycling industry to adjust production scale and arrange production sites to fully harness the waste recycling potential.

ACS Style

Bo Yu; Jiayuan Wang; Jie Li; Weisheng Lu; Clyde Zhengdao Li; Xiaoxiao Xu. Quantifying the potential of recycling demolition waste generated from urban renewal: A case study in Shenzhen, China. Journal of Cleaner Production 2019, 247, 119127 .

AMA Style

Bo Yu, Jiayuan Wang, Jie Li, Weisheng Lu, Clyde Zhengdao Li, Xiaoxiao Xu. Quantifying the potential of recycling demolition waste generated from urban renewal: A case study in Shenzhen, China. Journal of Cleaner Production. 2019; 247 ():119127.

Chicago/Turabian Style

Bo Yu; Jiayuan Wang; Jie Li; Weisheng Lu; Clyde Zhengdao Li; Xiaoxiao Xu. 2019. "Quantifying the potential of recycling demolition waste generated from urban renewal: A case study in Shenzhen, China." Journal of Cleaner Production 247, no. : 119127.

Journal article
Published: 14 June 2019 in Advanced Engineering Informatics
Reads 0
Downloads 0

Constraints management is the process of satisfying bottlenecks to facilitate tasks assigned to crews being successfully executed. However, managing constraints is inherently challenging in prefabrication housing production (PHP), due to the fragmentation of processes and information during project delivery. Enlightened by the broadly accepted work packaging method and the smart construction objects (SCOs) model, this study aims to define and implement smart work packaging (SWP) for constraints management in PHP. Firstly, the framework of SWP-enabled constraints management (SWP-CM) with three primary functions, including constraints modeling, constraints optimization, and constraints monitoring, is established. In addition, this study develops a layered abstract model as a prototype representation to elaborate on the implementation of SWP for practitioners. Finally, a laboratory-based test is applied to validate the framework. It can prove that SWP indeed opens new avenues for smart constraints management for PHP.

ACS Style

Xiao Li; Geoffrey Qiping Shen; Peng Wu; Fan Xue; Hung-Lin Chi; Clyde Zhengdao Li. Developing a conceptual framework of smart work packaging for constraints management in prefabrication housing production. Advanced Engineering Informatics 2019, 42, 100938 .

AMA Style

Xiao Li, Geoffrey Qiping Shen, Peng Wu, Fan Xue, Hung-Lin Chi, Clyde Zhengdao Li. Developing a conceptual framework of smart work packaging for constraints management in prefabrication housing production. Advanced Engineering Informatics. 2019; 42 ():100938.

Chicago/Turabian Style

Xiao Li; Geoffrey Qiping Shen; Peng Wu; Fan Xue; Hung-Lin Chi; Clyde Zhengdao Li. 2019. "Developing a conceptual framework of smart work packaging for constraints management in prefabrication housing production." Advanced Engineering Informatics 42, no. : 100938.

Journal article
Published: 21 April 2019 in Journal of Cleaner Production
Reads 0
Downloads 0

Construction is a major contributor to pollution in the natural environment. Among all construction pollutants, construction dust is the most significant pollutant that endangers human health. To expand the limited scope of studies on construction dust exposure, this study investigates current dust control practices in the construction industry in Hong Kong through dust monitoring data compilation. The database constructed and compiled by this study is larger than any other previous dust-related datasets in the construction industry in Hong Kong. A total of 837 samples are collected from 33 construction sites and 16 contractors, among which 783 valid samples are analyzed. Descriptive statistics are reported in terms of “construction process”, “trade”, “tools”, “data source type”, and “dust control measure”. Overall geometric mean for personal exposures are 0.314 (geometric standard deviations: 3.929) mg/m3 for respirable dust and 0.003 (geometric standard deviations: 5.105) mg/m3 for quartz concentration. It is found that the top three dust respirable exposures are from cement mixing, concrete breaking, and manual demolition, whereas grinding and rock breaking are recorded the two highest processes in terms of quartz exposure. Analytical results indicate that respiratory protection commonly used on construction sites is often inadequate for exposures encountered. Data variability within task and tool is large, with high exposures reported for a broad spectrum of tools. This study attains a large dataset to represent as many dust production construction activities as possible, determining the most influential factors for predicting dust exposure and evaluating the effectiveness of current dust control practices. This knowledge should, in turn, lead to enhanced practices of dust control in Hong Kong and highlight areas that need improvements.

ACS Style

Clyde Zhengdao Li; Yiyu Zhao; Xiaoxiao Xu. Investigation of dust exposure and control practices in the construction industry: Implications for cleaner production. Journal of Cleaner Production 2019, 227, 810 -824.

AMA Style

Clyde Zhengdao Li, Yiyu Zhao, Xiaoxiao Xu. Investigation of dust exposure and control practices in the construction industry: Implications for cleaner production. Journal of Cleaner Production. 2019; 227 ():810-824.

Chicago/Turabian Style

Clyde Zhengdao Li; Yiyu Zhao; Xiaoxiao Xu. 2019. "Investigation of dust exposure and control practices in the construction industry: Implications for cleaner production." Journal of Cleaner Production 227, no. : 810-824.

Journal article
Published: 04 February 2019 in Journal of Cleaner Production
Reads 0
Downloads 0

Improvement of building energy performance is crucial in achieving energy conservation goals. Previous studies have indicated that effective collaboration among stakeholders can help to address the building energy performance gap. However, only a few studies have examined the effects of underlying collaboration between designers and contractors. To fill this research gap, this study proposes an evolutionary game model to investigate the underlying logic of the collaboration by analyzing the dynamic behaviors of designers and contractors. First, the main possible drivers and barriers of the collaboration between designers and contractors were identified through a literature review and an expert interview. Second, a Nash equilibrium model was utilized to analyze the decision of designers and contractors under different scenarios. The results show that the best means to promote the collaboration is “reducing collaboration costs”, followed by “increasing the collaboration benefits” and “decreasing the loss caused by a lack of collaboration”. Based on the parameter discussion of the evolutionary game model, five solutions were proposed for the effective collaboration between designers and contractors. This study helps to clarify the dynamic collaboration decision process of designers and contractors, who are considered players with bounded rationality. The proposed evolutionary game model provides a theoretical basis for quantitative research on the collaboration between designers and contractors. This study could help researchers to consider the dynamics of collaboration among stakeholders in building projects, and it could also help practitioners to select proper strategies for improved collaboration.

ACS Style

Xiaoxiao Xu; Clyde Zhengdao Li; Jiayuan Wang; Wenke Huang. Collaboration between designers and contractors to improve building energy performance. Journal of Cleaner Production 2019, 219, 20 -32.

AMA Style

Xiaoxiao Xu, Clyde Zhengdao Li, Jiayuan Wang, Wenke Huang. Collaboration between designers and contractors to improve building energy performance. Journal of Cleaner Production. 2019; 219 ():20-32.

Chicago/Turabian Style

Xiaoxiao Xu; Clyde Zhengdao Li; Jiayuan Wang; Wenke Huang. 2019. "Collaboration between designers and contractors to improve building energy performance." Journal of Cleaner Production 219, no. : 20-32.

Journal article
Published: 13 August 2018 in Automation in Construction
Reads 0
Downloads 0

Schedule risk is a major concern in infrastructure project management. Existing studies have proposed several models for schedule risk analysis, but few efforts have been made on the dynamics and uncertainty of risks and the generality and practicability of the model. To fill the research gaps, this study develops a hybrid dynamic approach for investigating the effect of risks on infrastructure project schedule performance. This approach combines system dynamics (SD) and discrete event simulation (DES) which have mainly been used to analyze the macroscopic and microcosmic construction issues in isolation, respectively. The model is then verified by data which is collected from a bridge construction project. As an application example, the effect of four selected risks on the schedule was explored. The results show that the proposed SD-DES model could be ease of modifying the model to reflect real situation, performing various sensitivity and uncertainty analysis, and showing simulation results more effectively.

ACS Style

Xiaoxiao Xu; Jiayuan Wang; Clyde Zhengdao Li; Wenke Huang; Nini Xia. Schedule risk analysis of infrastructure projects: A hybrid dynamic approach. Automation in Construction 2018, 95, 20 -34.

AMA Style

Xiaoxiao Xu, Jiayuan Wang, Clyde Zhengdao Li, Wenke Huang, Nini Xia. Schedule risk analysis of infrastructure projects: A hybrid dynamic approach. Automation in Construction. 2018; 95 ():20-34.

Chicago/Turabian Style

Xiaoxiao Xu; Jiayuan Wang; Clyde Zhengdao Li; Wenke Huang; Nini Xia. 2018. "Schedule risk analysis of infrastructure projects: A hybrid dynamic approach." Automation in Construction 95, no. : 20-34.

Journal article
Published: 30 July 2018 in Resources, Conservation and Recycling
Reads 0
Downloads 0

The construction industry has grown as the major energy consumer in China’s economy with the rapid development of urbanization, continually increasing the stress on the environment, healthcare, and economy. Therefore, this study developed an integrated framework for embodied energy quantification of China’s buildings from a multi-regional perspective. This article builds on previous work on embodied energy quantification and develops an optimized algorithm that illustrated how the technological difference and the regional features are calculated as indices of embodied energy quantification at the project level, using multi-regional input-output (MRIO) analysis, structural path analysis (SPA), and process-based LCA model as the underlying methods. The structure of the proposed framework using calculative modules as well as the data sources are specified. The application of the analytical framework in real building cases demonstrates that it can provide valuable information of detailed embodied energy distribution through the whole supply chain. The implementation of the proposed framework can facilitate decision-makers to examine the effects of changes in geographical location, building type, and building structure on the total embodied energy consumption.

ACS Style

Jingke Hong; Geoffrey Qiping Shen; Cylde Zhengdao Li; Guiwen Liu; Zezhou Wu; Xiaoyang Zhong. An integrated framework for embodied energy quantification of buildings in China: A multi-regional perspective. Resources, Conservation and Recycling 2018, 138, 183 -193.

AMA Style

Jingke Hong, Geoffrey Qiping Shen, Cylde Zhengdao Li, Guiwen Liu, Zezhou Wu, Xiaoyang Zhong. An integrated framework for embodied energy quantification of buildings in China: A multi-regional perspective. Resources, Conservation and Recycling. 2018; 138 ():183-193.

Chicago/Turabian Style

Jingke Hong; Geoffrey Qiping Shen; Cylde Zhengdao Li; Guiwen Liu; Zezhou Wu; Xiaoyang Zhong. 2018. "An integrated framework for embodied energy quantification of buildings in China: A multi-regional perspective." Resources, Conservation and Recycling 138, no. : 183-193.

Journal article
Published: 01 May 2018 in Automation in Construction
Reads 0
Downloads 0

Building Information Modelling (BIM) serves as a useful tool in facilitating the on-site assembly services (OAS) of prefabricated construction for its benefits of powerful management of physical and functional digital presentations. However, the benefits of using BIM in the OAS of prefabricated construction cannot be cultivated with an incomplete, inaccurate, and untimely data exchange and lack of real-time visibility and traceability. To deal with these challenges, an Internet of Things (IoT)-enabled platform is designed by integrating IoT and BIM for prefabricated public housing projects in Hong Kong. The demands of the stakeholders were analysed; then smart construction objects (SCOs) and smart gateway are defined and designed to collect real-time data throughout the working processes of on-site assembly of prefabricated construction using the radio frequency identification (RFID) technology. The captured data is uploaded to cloud in real-time to process and analyse for decision support purposes for the involved site managers and workers. Visibility and traceability functions are developed with BIM and virtual reality (VR) technologies, through which managers can supervise the construction progress and approximate cost information in a real-time manner. The IoT-enabled platform can provide various decision support tools and services to different stakeholders, for improving the efficiency and effectiveness of daily operations, decision making, collaboration, and supervision throughout on-site assembly processes of prefabricated construction.

ACS Style

Clyde Zhengdao Li; Fan Xue; Xiao Li; Jingke Hong; Geoffrey Qiping Shen. An Internet of Things-enabled BIM platform for on-site assembly services in prefabricated construction. Automation in Construction 2018, 89, 146 -161.

AMA Style

Clyde Zhengdao Li, Fan Xue, Xiao Li, Jingke Hong, Geoffrey Qiping Shen. An Internet of Things-enabled BIM platform for on-site assembly services in prefabricated construction. Automation in Construction. 2018; 89 ():146-161.

Chicago/Turabian Style

Clyde Zhengdao Li; Fan Xue; Xiao Li; Jingke Hong; Geoffrey Qiping Shen. 2018. "An Internet of Things-enabled BIM platform for on-site assembly services in prefabricated construction." Automation in Construction 89, no. : 146-161.

Journal article
Published: 20 October 2017 in Land Use Policy
Reads 0
Downloads 0

Developed cities are troubled by various challenges, including urban dilapidation, environmental pollution, traffic congestion, lack of facility provision, and economic decline. Urban renewal, as an important agenda in most countries, holds the aim of addressing these urban problems. With the inherent complexity of urban renewal, renewal initiatives do not always follow an unsustainable path, which has obtained much criticism from both academia and the public. Therefore, an informative decision-making process would contribute to better renewal outcomes. Previous research has mainly focused on one aspect of urban renewal, in which a comprehensive perspective is lacking. The multi-scale feature of urban renewal initiatives also adds complexity and uncertainty to decision-making. Therefore, this paper proposes a multi-scale model that supports decision-making on realizing sustainable urban renewal. Three sub-modules and a supporting database are included in the model. City, district, and neighborhood scales are the foci of the three sub-modules. Both temporal and spatial data are included in the database. Through experimental study and expert interview, the effectiveness of this model is validated.

ACS Style

Wei Zheng; Geoffrey Qiping Shen; Hao Wang; Jingke Hong; Zhengdao Li. Decision support for sustainable urban renewal: A multi-scale model. Land Use Policy 2017, 69, 361 -371.

AMA Style

Wei Zheng, Geoffrey Qiping Shen, Hao Wang, Jingke Hong, Zhengdao Li. Decision support for sustainable urban renewal: A multi-scale model. Land Use Policy. 2017; 69 ():361-371.

Chicago/Turabian Style

Wei Zheng; Geoffrey Qiping Shen; Hao Wang; Jingke Hong; Zhengdao Li. 2017. "Decision support for sustainable urban renewal: A multi-scale model." Land Use Policy 69, no. : 361-371.

Journal article
Published: 01 August 2017 in International Journal of Project Management
Reads 0
Downloads 0

In China, the social risks associated with housing demolition increasingly challenge the success of urban redevelopment projects. In practice, these risks are interacting and are associated with various stakeholders. Previous studies have largely focused on risk identification and evaluation without giving sufficient consideration to stakeholders and their linkages with risks. Therefore, we used social network analysis to investigate social risks related to housing demolition, from a stakeholder perspective. Stakeholder-associated risks and their interrelations were investigated based on a literature analysis and interviews with key stakeholders. Using a network analysis we identified critical risks and their corresponding stakeholders. Social security schemes, efficient financial management, multi-dimensional impact assessments, policy analyses and adherence to laws, and public participation were proposed to mitigate risks. The effectiveness of these solutions was quantified based on a network simulation. This study contributes to the body of knowledge on social risk management via linking social risks with stakeholders.Department of Building and Real Estat

ACS Style

Tao Yu; Qiping Shen; Qian Shi; Xiaodong Lai; Clyde Zhengdao Li; Kexi Xu. Managing social risks at the housing demolition stage of urban redevelopment projects: A stakeholder-oriented study using social network analysis. International Journal of Project Management 2017, 35, 925 -941.

AMA Style

Tao Yu, Qiping Shen, Qian Shi, Xiaodong Lai, Clyde Zhengdao Li, Kexi Xu. Managing social risks at the housing demolition stage of urban redevelopment projects: A stakeholder-oriented study using social network analysis. International Journal of Project Management. 2017; 35 (6):925-941.

Chicago/Turabian Style

Tao Yu; Qiping Shen; Qian Shi; Xiaodong Lai; Clyde Zhengdao Li; Kexi Xu. 2017. "Managing social risks at the housing demolition stage of urban redevelopment projects: A stakeholder-oriented study using social network analysis." International Journal of Project Management 35, no. 6: 925-941.

Journal article
Published: 01 June 2017 in Renewable and Sustainable Energy Reviews
Reads 0
Downloads 0
ACS Style

Jingke Hong; Clyde Zhengdao Li; Qiping Shen; Fan Xue; Bingxia Sun; Wei Zheng. An Overview of the driving forces behind energy demand in China's construction industry: Evidence from 1990 to 2012. Renewable and Sustainable Energy Reviews 2017, 73, 85 -94.

AMA Style

Jingke Hong, Clyde Zhengdao Li, Qiping Shen, Fan Xue, Bingxia Sun, Wei Zheng. An Overview of the driving forces behind energy demand in China's construction industry: Evidence from 1990 to 2012. Renewable and Sustainable Energy Reviews. 2017; 73 ():85-94.

Chicago/Turabian Style

Jingke Hong; Clyde Zhengdao Li; Qiping Shen; Fan Xue; Bingxia Sun; Wei Zheng. 2017. "An Overview of the driving forces behind energy demand in China's construction industry: Evidence from 1990 to 2012." Renewable and Sustainable Energy Reviews 73, no. : 85-94.

Journal article
Published: 01 June 2017 in Journal of Cleaner Production
Reads 0
Downloads 0

Every country is dealing with its own housing problems; however, none compares with Hong Kong where housing has always been a major concern as a result of low supply over the past decades. Against the constraints in delivering sufficient houses, prefabrication as a sustainable solution for housing has been increasingly advocated for its potential merits of better quality, construction safety and cleaner built environment. However, schedule delay caused by various risks affected the prefabrication housing production (PHP) in Hong Kong. This problem can be further worsened when the manufacturing sector of PHP has entirely moved to offshore areas in the Pearl River Delta region. This study applies system dynamics to recognize and investigate the potential effect of various risks on the scheduling of prefabrication housing construction projects through the employment of Vensim software package. The simulation results show that schedule risks, namely low information interoperability between different enterprise resource planning systems (LIIBDERPS), logistics information inconsistency due to human errors probability (LIIHEP), Delay of delivery of precast element to site (DDPES), and Design information gap between designer and manufacturer (DIGDM) significantly contribute to the schedule delay in PHP. However, schedule is more sensitive toward LIIBDERPS than for the other three risks, indicating that LIIBDERPS should be monitored and given priority. The system dynamic model serves as an effective tool for quantitatively evaluating the effect of various risks on the schedule of PHP, offering valuable references for managers though comparing simulation results under different risk scenarios, so that potential risks that might lead to schedule delay could be identified and handled in advance.

ACS Style

Clyde Zhengdao Li; Geoffrey Qiping Shen; Xiaoxiao Xu; Fan Xue; Lucila Sommer; Lizi Luo. Schedule risk modeling in prefabrication housing production. Journal of Cleaner Production 2017, 153, 692 -706.

AMA Style

Clyde Zhengdao Li, Geoffrey Qiping Shen, Xiaoxiao Xu, Fan Xue, Lucila Sommer, Lizi Luo. Schedule risk modeling in prefabrication housing production. Journal of Cleaner Production. 2017; 153 ():692-706.

Chicago/Turabian Style

Clyde Zhengdao Li; Geoffrey Qiping Shen; Xiaoxiao Xu; Fan Xue; Lucila Sommer; Lizi Luo. 2017. "Schedule risk modeling in prefabrication housing production." Journal of Cleaner Production 153, no. : 692-706.