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Identification and Analysis of Smart Construction Safety Risks: Based on Coding In-Depth Interviews

In: Proceedings of the 28th International Symposium on Advancement of Construction Management and Real Estate

Author

Listed:
  • Liying Wang

    (Tsinghua University)

  • Yao Wang

    (Tsinghua University)

  • Dongping Fang

    (Tsinghua University)

  • Yuecheng Huang

    (Tsinghua University)

Abstract

Smart construction, driven by the integration of new generation information technology, has transformed the construction industry and mitigated traditional safety risks. However, the application of intelligent mechanical equipment, such as construction robots, introduces new safety risks. Existing studies have predominantly focused on safety issues in traditional construction sites, overlooking the emerging safety risks associated with new construction technologies in smart construction, which is not conducive to the safety control of smart construction. This study employs grounded theory and coding methods to identify safety risks and scenarios specific to robot work in smart construction, and analyzes the key risk factors extracted through expert scoring. The results highlight significant emerging risks that demand attention in the smart construction mode. This study helps to enhance safety awareness among operators and enable construction managers to identify key safety hazards, ultimately reducing accidents and improving safety performance of smart construction.

Suggested Citation

  • Liying Wang & Yao Wang & Dongping Fang & Yuecheng Huang, 2024. "Identification and Analysis of Smart Construction Safety Risks: Based on Coding In-Depth Interviews," Lecture Notes in Operations Research, in: Dezhi Li & Patrick X. W. Zou & Jingfeng Yuan & Qian Wang & Yi Peng (ed.), Proceedings of the 28th International Symposium on Advancement of Construction Management and Real Estate, chapter 0, pages 961-972, Springer.
    • Handle: RePEc:spr:lnopch:978-981-97-1949-5_66
    DOI: 10.1007/978-981-97-1949-5_66
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