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Identifying and Evaluating the Essential Factors Affecting the Incidence of Site Accidents Caused by Human Errors in Industrial Parks Construction Projects

Author

Listed:
  • Adel Rafieyan

    (Department of Civil Engineering, Najafabad Branch, Islamic Azad University, Najafabad 85141-43131, Iran)

  • Hadi Sarvari

    (Department of Civil Engineering, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan 81551-39998, Iran)

  • Daniel W. M. Chan

    (Department of Building and Real Estate, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China)

Abstract

In terms of safety management, the implementation of industrial parks construction projects (IPCPs) is incredibly challenging due to the special working conditions and the specific type of use of the buildings. On the other hand, the possibility of causing accidents in these areas based on human errors is high and important for project execution due to the risks of human errors and financial losses. Therefore, this study tries to fill this existing research gap by identifying and evaluating the effective key factors leading to the occurrence of construction accidents caused by human errors in the development of IPCPs. After a holistic review of the reported literature, four rounds of fuzzy Delphi survey were launched to capture the individual opinions and feedback from various project experts. Accordingly, 41 key factors affecting human errors in the implementation of industrial parks construction projects in Iran were identified and classified into nine main groups of wrong actions, observations/interpretations, planning/processes, equipment, organization, individual activities, environmental conditions, rescue, and technology. Then, the step-wise weight assessment ratio analysis (SWARA) method was adopted to rate and rank the identified factors of human errors in the implementation of IPCPs in Iran. The research findings indicated that among the elicited factors, time factor (0.1226), delayed interpretation (0.1080), and incorrect diagnosis/prediction (0.0990) are the three most crucial factors leading to human errors in the implementation of IPCPs in Iran. The results of this research study have provided various major project stakeholders with an effective decision-aid tool to make better-informed decisions in managing and reducing the occurrence of construction site accidents particularly caused by human errors associated with IPCPs.

Suggested Citation

  • Adel Rafieyan & Hadi Sarvari & Daniel W. M. Chan, 2022. "Identifying and Evaluating the Essential Factors Affecting the Incidence of Site Accidents Caused by Human Errors in Industrial Parks Construction Projects," IJERPH, MDPI, vol. 19(16), pages 1-15, August.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:16:p:10209-:d:890524
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    References listed on IDEAS

    as
    1. Chun-An Chen & Shang-Ru Lee, 2013. "Developing The Country Brand Of Taiwan From The Perspective Of Exports," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 3(9), pages 1223-1236, September.
    2. Chun-An Chen & Shang-Ru Lee, 2013. "Developing the Country Brand of Taiwan from the Perspective of Exports," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 3(9), pages 1223-1236.
    3. Daniel W. M. Chan & Matteo Cristofaro & Hala Nassereddine & Nicole S. N. Yiu & Hadi Sarvari, 2021. "Perceptions of Safety Climate in Construction Projects between Workers and Managers/Supervisors in the Developing Country of Iran," Sustainability, MDPI, vol. 13(18), pages 1-18, September.
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    Cited by:

    1. Xinglin Chen & Fuqiang Yang & Shuo Cheng & Shuaiqi Yuan, 2023. "Occupational Health and Safety in China: A Systematic Analysis of Research Trends and Future Perspectives," Sustainability, MDPI, vol. 15(19), pages 1-27, September.
    2. Sarvari, Hadi & Baghbaderani, Alireza Babaie & Chan, Daniel W.M. & Beer, Michael, 2024. "Determining the significant contributing factors to the occurrence of human errors in the urban construction projects: A Delphi-SWARA study approach," Technological Forecasting and Social Change, Elsevier, vol. 205(C).

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