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Developing a Construction Safety Standard System to Enhance Safety Supervision Efficiency in China: A Theoretical Simulation of the Evolutionary Game Process

Author

Listed:
  • Wenxin Su

    (School of Economics and Management, Tongji University, Shanghai 200092, China)

  • Xin Gao

    (School of Economics and Management, Tongji University, Shanghai 200092, China)

  • Yukun Jiang

    (School of Economics and Management, Tongji University, Shanghai 200092, China)

  • Jinrong Li

    (School of Economics and Management, Tongji University, Shanghai 200092, China)

Abstract

Labor safety is one of the most fundamental indicators to improve contractors’ sustainability. Safety supervision plays a crucial role in affecting the safety performance of infrastructure projects. However, studies of standards development to enhance safety supervision efficiency are far from complete. Safety standards define safe behaviors for construction workers and hazard control processes in the workplace, and they are usually considered as an important part of safety control. In addition, the systematic reform of construction safety standards in China provides an innovative perspective to enhance safety supervision efficiency by linking standards to supervision. For this purpose, this paper proposes the concept and framework of the “Construction Safety Standard System (CSSS)” through expert interviews. CSSS hierarchically classifies safety standards and integrates similar standards. Its implementation will significantly influence the behavioral decisions of safety supervision stakeholders. Evolutionary game (EG) theory is applied to demonstrate the decision-making procedure in CSSS establishment and application. Furthermore, system dynamics (SD) is utilized to model and analyze equilibrium states under different supervision strategies. Meanwhile, case studies are implemented to assess the CSSS’s effectiveness in reality. The numerical results indicate that through CSSS implementation, the strategy choice fluctuation of supervisors and contractors is suppressed and a more desirable stable equilibrium is reached. The government tends to supervise and contractors tend to obey safety standards consciously. The findings reveal that CSSS can enhance safety supervision efficiency and have meaningful implications for theoretical study on safety supervision and construction safety management practice.

Suggested Citation

  • Wenxin Su & Xin Gao & Yukun Jiang & Jinrong Li, 2021. "Developing a Construction Safety Standard System to Enhance Safety Supervision Efficiency in China: A Theoretical Simulation of the Evolutionary Game Process," Sustainability, MDPI, vol. 13(23), pages 1-22, December.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:23:p:13364-:d:693727
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    References listed on IDEAS

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    1. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    2. Liu, Dehai & Xiao, Xingzhi & Li, Hongyi & Wang, Weiguo, 2015. "Historical evolution and benefit–cost explanation of periodical fluctuation in coal mine safety supervision: An evolutionary game analysis framework," European Journal of Operational Research, Elsevier, vol. 243(3), pages 974-984.
    3. Binmore, Ken, 1987. "Modeling Rational Players: Part I," Economics and Philosophy, Cambridge University Press, vol. 3(2), pages 179-214, October.
    4. Kjell Hausken & Jun Zhuang, 2016. "The strategic interaction between a company and the government surrounding disasters," Annals of Operations Research, Springer, vol. 237(1), pages 27-40, February.
    5. Hausken, Kjell & Zhuang, Jun, 2013. "The impact of disaster on the strategic interaction between company and government," European Journal of Operational Research, Elsevier, vol. 225(2), pages 363-376.
    6. You, Mengjie & Li, Shuang & Li, Dingwei & Cao, Qingren & Xu, Feng, 2020. "Evolutionary game analysis of coal-mine enterprise internal safety inspection system in China based on system dynamics," Resources Policy, Elsevier, vol. 67(C).
    7. Guo, Shengyu & Zhou, Xinyu & Tang, Bing & Gong, Peisong, 2020. "Exploring the behavioral risk chains of accidents using complex network theory in the construction industry," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).
    Full references (including those not matched with items on IDEAS)

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