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Determining the significant contributing factors to the occurrence of human errors in the urban construction projects: A Delphi-SWARA study approach

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  • Sarvari, Hadi
  • Baghbaderani, Alireza Babaie
  • Chan, Daniel W.M.
  • Beer, Michael

Abstract

The construction industry is believed to be more susceptible to human errors than other industries because of its unique characteristics, particularly when it comes to urban construction projects (UCP). Despite the considerable attention given to human errors in construction sector, there has been a lack of emphasis on analysing these errors in specific projects like construction in urban environments with distinct complexities. Hence, this paper seeks to determine and assess the critical factors influencing human errors associated with the UCP. In this vein, Three rounds of Delphi surveys were done with 17 specialists in safety and construction management. According to the Delphi survey results, 35 substantial factors that contribute to the incidence of human errors in the UCP were discovered. Then, an empirical questionnaire based on the 5-point Likert scale of measurement was developed and distributed among 37 construction experts to assess the level of impact that each factor on occurring human error in the UCP. The questionnaire had 35 influential factors related to human errors, categorised into five primary divisions (environmental, technological/information systems, individual (permanently related), individual (temporarily related), and organisational). Before the distribution, the reliability and validity of the questionnaire were evaluated and confirmed. The factors were ranked using the Step-wise Weight Assessment Ratio Analysis (SWARA) technique at this point. The research findings indicated that the criterion of “technological factors/information systems” is the most crucial, with the criterion of “individual factors (permanently related)” coming in second and the criterion of “environmental factors” coming in third. The sub-criterion “weak maintenance management systems” scores first in the general ranking of sub-criteria, indicating traditional network systems, the absence of appropriate tools and equipment, and a lack of understanding of required resources. The sub-criterion “defects in details and information and lack of design dynamism” is placed second, while the sub-criterion “violation of safety regulations (use of drugs, etc.)” is ranked third. The study results can help industry practitioners make more educated judgements to minimise and manage human errors in the UCP.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:tefoso:v:205:y:2024:i:c:s0040162524003081
    DOI: 10.1016/j.techfore.2024.123512
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    References listed on IDEAS

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    1. Fink, A. & Kosecoff, J. & Chassin, M. & Brook, R.H., 1984. "Consensus methods: Characteristics and guidelines for use," American Journal of Public Health, American Public Health Association, vol. 74(9), pages 979-983.
    2. Morais, Caroline & Estrada-Lugo, Hector Diego & Tolo, Silvia & Jacques, Tiago & Moura, Raphael & Beer, Michael & Patelli, Edoardo, 2022. "Robust data-driven human reliability analysis using credal networks," Reliability Engineering and System Safety, Elsevier, vol. 218(PA).
    3. Andrew Atkinson, 1998. "Human error in the management of building projects," Construction Management and Economics, Taylor & Francis Journals, vol. 16(3), pages 339-349.
    4. 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.
    5. Jinjia Zhang & Kaili Xu & Greg You & Beibei Wang & Lei Zhao, 2019. "Causation Analysis of Risk Coupling of Gas Explosion Accident in Chinese Underground Coal Mines," Risk Analysis, John Wiley & Sons, vol. 39(7), pages 1634-1646, July.
    6. He, Yihai & Zhao, Yixiao & Han, Xiao & Zhou, Di & Wang, Wenzhuo, 2020. "Functional risk-oriented health prognosis approach for intelligent manufacturing systems," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    7. Peter E.D Love & Amrik S. Sohal, 2003. "Capturing rework costs in projects," Managerial Auditing Journal, Emerald Group Publishing Limited, vol. 18(4), pages 329-339, June.
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