Schedule risks in prefabrication housing production in Hong Kong: a social network analysis

Clyde Zhengdao Li, Jingke Hong, Fan Xue, Qiping Shen, Xiaoxiao Xu, Margaret Kayan Mok

Research output: Journal article publicationJournal articleAcademic researchpeer-review

202 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)482-494
Number of pages13
JournalJournal of Cleaner Production
Issue numberPart B
Publication statusPublished - 15 Oct 2016


  • Building information modeling
  • Prefabrication housing production
  • Schedule risk
  • Social network analysis

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • General Environmental Science
  • Strategy and Management
  • Industrial and Manufacturing Engineering


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