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Clyde Zhengdao Li
Shenzhen University
17Publications
9H-index
226Citations
Publications 18
Newest
#1Xiao Li (PolyU: Hong Kong Polytechnic University)H-Index: 8
#2Chengke Wu (Curtin University)H-Index: 1
Last.Clyde Zhengdao Li (SZU: Shenzhen University)H-Index: 9
view all 7 authors...
Abstract Prefabrication housing production (PHP) processes are fragmented and full of variability. Their schedule reliability is particularly disturbed by the constraints deriving from task executions in the on-site assembly process. Proactive constraints modeling, including identifying constraints and understanding their interrelationships, is crucial to ensure successful task executions and enhance sociability in collaborative working. However, current methods for constraints modeling are ofte...
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Abstract 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 ren...
Source
#1Xiao Li (PolyU: Hong Kong Polytechnic University)H-Index: 8
#2Geoffrey Qiping Shen (PolyU: Hong Kong Polytechnic University)H-Index: 26
Last.Clyde Zhengdao Li (SZU: Shenzhen University)H-Index: 9
view all 6 authors...
Abstract 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 con...
1 CitationsSource
#1Clyde Zhengdao Li (SZU: Shenzhen University)H-Index: 9
#2Yiyu Zhao (SZU: Shenzhen University)H-Index: 1
Last.Xiaoxiao Xu (Swinburne University of Technology)H-Index: 6
view all 3 authors...
Abstract 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 dus...
2 CitationsSource
#1Xiaoxiao Xu (Swinburne University of Technology)H-Index: 6
#2Clyde Zhengdao Li (SZU: Shenzhen University)H-Index: 9
Last.Wenke Huang (SZU: Shenzhen University)H-Index: 1
view all 4 authors...
Abstract 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...
1 CitationsSource
#1Xiao Li (PolyU: Hong Kong Polytechnic University)H-Index: 8
#2Xin Liu (Curtin University)H-Index: 8
Last.Zhenyu Huang (SZU: Shenzhen University)H-Index: 1
view all 6 authors...
Foundation pit displacement is a critical safety risk for both building structure and people lives. The accurate displacement monitoring and prediction of a deep foundation pit are essential to prevent potential risks at early construction stage. To achieve accurate prediction, machine learning methods are extensively applied to fulfill this purpose. However, these approaches, such as support vector machines, have limitations in terms of data processing efficiency and prediction accuracy. As an ...
1 CitationsSource
#1Xiaoxiao Xu (Swinburne University of Technology)H-Index: 6
#2Jiayuan Wang (SZU: Shenzhen University)H-Index: 19
Last.Nini Xia (SEU: Southeast University)H-Index: 1
view all 5 authors...
Abstract 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 ...
6 CitationsSource
#1Clyde Zhengdao LiH-Index: 9
Last.Jingke HongH-Index: 12
view all 4 authors...
Source
#1Clyde Zhengdao Li (SZU: Shenzhen University)H-Index: 9
#2Xiaoxiao Xu (Swinburne University of Technology)H-Index: 6
Last.Jingke Hong (Chongqing University)H-Index: 12
view all 6 authors...
Abstract The construction industry in Hong Kong has been exposed to serious housing production issues such as insufficient manpower, safety, environmental concerns and inefficient housing supply. Prefabrication housing production has shown as efficient construction model which enables to overcome these issues and it is applied in construction industry in Hong Kong. In this paper, hybrid modeling techniques that combine system dynamics and discrete event simulation are used to analyze the interre...
11 CitationsSource
#1Clyde Zhengdao Li (SZU: Shenzhen University)H-Index: 9
#2Fan Xue (HKU: University of Hong Kong)H-Index: 10
Last.Geoffrey Qiping Shen (PolyU: Hong Kong Polytechnic University)H-Index: 26
view all 5 authors...
Abstract 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 Thing...
25 CitationsSource
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