IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-662-46994-1_63.html
   My bibliography  Save this book chapter

Evolutionary Game Analysis and Countermeasure Study of Construction Enterprises Safety Supervision in China

In: Proceedings of the 19th International Symposium on Advancement of Construction Management and Real Estate

Author

Listed:
  • Xueqin Zeng

    (Tongji University (Jiading Campus))

  • Jianguo Chen

    (Tongji University)

Abstract

The increasing complexity and dynamics of construction projects have plagued the construction industry with substantial hazards and losses. Government regulatory departments as the external constraint forces, has been recognized critical for construction safety. This article presents an evolutionary game model of safety supervision to analyze the dynamic evolution tendency and stability of replicator dynamic equation. The results demonstrate that the stable state of construction safety supervision is related to certain key factors, e.g. cost of regulatory procedures, probability of accidents, lost of construction enterprise resulted from accident, penalty strength and cost of safety supervision. To improve safety level of construction enterprises, it is necessary to introduce an appropriate external supervision and restraint mechanism enhancing both sides to control the security risk. Finally, some policy suggestions on construction safety supervising are proposed based on above analyses.

Suggested Citation

  • Xueqin Zeng & Jianguo Chen, 2015. "Evolutionary Game Analysis and Countermeasure Study of Construction Enterprises Safety Supervision in China," Springer Books, in: Liyin Shen & Kunhui Ye & Chao Mao (ed.), Proceedings of the 19th International Symposium on Advancement of Construction Management and Real Estate, edition 127, chapter 0, pages 771-786, Springer.
  • Handle: RePEc:spr:sprchp:978-3-662-46994-1_63
    DOI: 10.1007/978-3-662-46994-1_63
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hui Liu & Jie Li & Hongyang Li & He Li & Peng Mao & Jingfeng Yuan, 2021. "Risk Perception and Coping Behavior of Construction Workers on Occupational Health Risks—A Case Study of Nanjing, China," IJERPH, MDPI, vol. 18(13), pages 1-25, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-662-46994-1_63. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.