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Evolutionary Process of Promoting Construction Safety Education to Avoid Construction Safety Accidents in China

Author

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  • Feng Guo

    (School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China
    Sanya Science and Education Innovation Park, Wuhan University of Technology, Sanya 572025, China
    These authors contributed equally to this work.)

  • Junwu Wang

    (School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China
    Sanya Science and Education Innovation Park, Wuhan University of Technology, Sanya 572025, China)

  • Denghui Liu

    (China Construction First Group Corporation Limited, Beijing 100161, China)

  • Yinghui Song

    (School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China
    These authors contributed equally to this work.)

Abstract

Construction safety is related to the life and health of construction workers and has always been a hot issue of concern for government and construction units. The government can use “construction safety education” to reduce the probability of safety accidents in the construction process and avoid the loss of life and property of construction workers. To encourage construction units to provide safety education for construction workers before construction starts and promote construction workers to actively participate in safety education. In this paper, a tripartite evolutionary game model of government–construction units–construction workers is established, and the factors affecting each party’s behavior strategy are comprehensively analyzed. Firstly, evolutionary game theory is used to investigate the influence of different behavior strategies among government, construction units, and construction workers on the behavior strategies of the other two parties. Secondly, according to the events in different situations, the influence of critical factors on the evolution process of the model is analyzed. On this basis, combined with the construction experience and construction data of actual construction projects, the established model and preliminary conclusions are verified. Finally, a sensitivity analysis of all parameters is carried out. The results show that: (1) The government’s enhancement of reward and punishment is conducive to promoting the choice of "providing safety education" for construction orders and the choice of “actively participating in safety education” for construction workers, but the excessive reward will lead to the government’s unwillingness of participation; (2) The reasonable reward and punishment mechanism set by the government must meet the condition that the sum of rewards and punishments for all parties is more significant than their speculative gains, to ensure the construction safety under the evolutionary stability; (3) Increasing welfare subsidies for construction workers who choose to participate in safety education actively is an effective way to avoid unwilling participation of construction workers.

Suggested Citation

  • Feng Guo & Junwu Wang & Denghui Liu & Yinghui Song, 2021. "Evolutionary Process of Promoting Construction Safety Education to Avoid Construction Safety Accidents in China," IJERPH, MDPI, vol. 18(19), pages 1-22, October.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:19:p:10392-:d:649083
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    References listed on IDEAS

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    1. Meng, Xueyu & Cai, Zhiqiang & Si, Shubin & Duan, Dongli, 2021. "Analysis of epidemic vaccination strategies on heterogeneous networks: Based on SEIRV model and evolutionary game," Applied Mathematics and Computation, Elsevier, vol. 403(C).
    2. C. M. Tam & Ivan Fung, 1998. "Effectiveness of safety management strategies on safety performance in Hong Kong," Construction Management and Economics, Taylor & Francis Journals, vol. 16(1), pages 49-55.
    3. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    4. Hai Chien Pham & Nhu-Ngoc Dao & Jung-Ui Kim & Sungrae Cho & Chan-Sik Park, 2018. "Energy-Efficient Learning System Using Web-Based Panoramic Virtual Photoreality for Interactive Construction Safety Education," Sustainability, MDPI, vol. 10(7), pages 1-17, July.
    5. William Collier & Francis Green & Young-Bae Kim & John Peirson, 2011. "Education, Training and Economic Performance: Evidence from Establishment Survival Data," Journal of Labor Research, Springer, vol. 32(4), pages 336-361, December.
    6. James Wilkins, 2011. "Construction workers’ perceptions of health and safety training programmes," Construction Management and Economics, Taylor & Francis Journals, vol. 29(10), pages 1017-1026.
    7. Hongbin Li & Lei Li & Binzhen Wu & Yanyan Xiong, 2012. "The End of Cheap Chinese Labor," Journal of Economic Perspectives, American Economic Association, vol. 26(4), pages 57-74, Fall.
    8. Seyyed-Mahdi Hosseini-Motlagh & Maryam Johari & Roza Zirakpourdehkordi, 2021. "Grain production management to reduce global warming potential under financial constraints and time value of money using evolutionary game theory," International Journal of Production Research, Taylor & Francis Journals, vol. 59(17), pages 5108-5129, September.
    9. Ying-Hua Huang & Tzung-Ru Yang, 2019. "Exploring On-Site Safety Knowledge Transfer in the Construction Industry," Sustainability, MDPI, vol. 11(22), pages 1-16, November.
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