Fan Xue

Prof. Fan Xue

University of Hong Kong
orcid

Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2018 in Automation in Construction
Verified
Journal Article
Closed access
Clyde Zhengdao LiClyde Zhengdao Li
Clyde Zhengdao Li
Fan XueFan Xue
Fan Xue
Xiao LIXiao LI
Xiao LI
JHJingke Hong
Jingke Hong
Geoffrey Qiping ShenGeoffrey Qiping Shen
Geoffrey Qiping Shen

1 April 2017 in Automation in Construction
Verified
Journal Article
Closed access
RZRay Y. Zhong
Ray Y. Zhong
YPYi Peng
Yi Peng
Fan XueFan Xue
Fan Xue
JFJi Fang
Ji Fang
WZWeiwu Zou
Weiwu Zou
GHGeorge Q. Huang
George Q. Huang

1 May 2019 in Journal of Cleaner Production
Verified
Journal Article
Closed access
TTTan Tan
Tan Tan
Ke ChenKe Chen
Ke Chen
Fan XueFan Xue
Fan Xue
WLWeisheng Lu
Weisheng Lu

1 October 2016 in Journal of Cleaner Production
Verified
Journal Article
Open access
Clyde Zhengdao LiClyde Zhengdao Li
Clyde Zhengdao Li
JHJingke Hong
Jingke Hong
Fan XueFan Xue
Fan Xue
Geoffrey Qiping ShenGeoffrey Qiping Shen
Geoffrey Qiping Shen
XXXiaoxiao Xu
Xiaoxiao Xu
MMMargaret Kayan Mok
Margaret Kayan Mok
© 2016 Elsevier Ltd.Various schedule risks beset prefabrication housing production (PHP) in Hong Kong throughout the prefabrication supply chain, from design, manufacturing, logistics, to on-site assembly. Previous research on the risks in prefabrication construction projects has mainly focused on the construction stage and has been confined to issues of completeness and accuracy without consideration of stakeholder-related risks and their cause-and-effect relationships. However, in reality, the supply chain is inseparable as precast components should be manufactured and transported to sites to fit in with the schedule of on-site assembly in seamless connection manner, and most risks are interrelated and associated with various stakeholders. This study applies social network analysis (SNA) to recognize and investigate the underlying network of stakeholder-associated risk factors in prefabrication housing construction projects. Critical risks and relationships that have important roles in structuring the entire network of PHP are identified and analyzed. BIM (Building Information Modeling)-centered strategies are proposed to facilitate stakeholder communication and mitigate critical schedule risks and interactions underlying the risk network. This study not only provides an effective method to analyze stakeholder-associated risk factors and to evaluate the effect of these risk factors from a network perspective, but also offers a new visual perspective in the promotion of the use of the Internet of things (IoT) and helps identify housing construction problems in Hong Kong.Link_to_subscribed_fulltex

1 November 2017 in Journal of Cleaner Production
Verified
Journal Article
Closed access
CLClyde Zhengdao Li
Clyde Zhengdao Li
RZRay Y. Zhong
Ray Y. Zhong
Fan XueFan Xue
Fan Xue
GXGangyan Xu
Gangyan Xu
Ke ChenKe Chen
Ke Chen
Geoffrey Qiping ShenGeoffrey Qiping Shen
Geoffrey Qiping Shen

1 February 2022 in Journal of Construction Engineering and Management
Verified
Journal Article
Closed access
PDF file
Xiao LIXiao LI
Xiao LI
WLWeisheng Lu
Weisheng Lu
Fan XueFan Xue
Fan Xue
LWLiupengfei Wu
Liupengfei Wu
RZRui Zhao
Rui Zhao
JXJinying Xu
Jinying Xu
Configuring a trustworthy Internet of Things (IoT)–enabled building information modeling (BIM) platform (IBP) is significant for modular construction to ensure transparency, traceability, and immutability throughout its fragmented supply chain management. However, most current IBPs are designed adopting a centralized system architecture, which fails to achieve a decentralized and effective one to ensure a single point of truth in BIM and prevent a single point of failure in IoT networks. To address this challenge, this study introduces permissioned blockchain with IBP and proposes a novel service-oriented system architecture of blockchain-enabled IoT-BIM platform (BIBP) for the data-information-knowledge (DIK)–driven supply chain management in modular construction. First, infrastructure as a service (IaaS) is designed with hardware, core technologies, and protocols to offer accurate data from daily practice to blockchain BIM. Blockchain BIM as a service (BaaS) is then developed within the permissioned blockchain to ease the interoperability of the information, semantics, and meaningful inferences. Furthermore, software as a service (SaaS) is configured with decentralized applications to achieve knowledgeable operations or processes with a crash fault-tolerant consensus mechanism. The demonstrative case study in a modular student residence project evaluates the proposed BIBP system prototype with the performance analysis of storage cost, throughput, latency, privacy, and feedback from stakeholders. The results indicate that BIBP has an effective system architecture with acceptable throughput and latency, can save storage costs to achieve a single point of truth in BIM, and avoid a single point of failure for IoT networks with privacy and security-preserving mechanisms.