China Safety Science Journal ›› 2023, Vol. 33 ›› Issue (4): 202-209.doi: 10.16265/j.cnki.issn1003-3033.2023.04.0256

• Emergency technology and management • Previous Articles     Next Articles

Government-enterprise joint reserve decision for urban flood control materials considering level of maintenance

WANG Zhe1,2(), CONG Zihao1,2, LIANG Mengyu1,2, LIU Dan1,2, MA Yong3, XIA Xiaotang4,**()   

  1. 1 School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan Hubei 430070, China
    2 China Research Center for Emergency Management, Wuhan University of Technology, Wuhan Hubei 430070, China
    3 School of Navigation, Wuhan University of Technology, Wuhan Hubei 430063, China
    4 School of Urban Construction, Wuhan University of Science and Technology, Wuhan Hubei 430065, China
  • Received:2022-11-12 Revised:2023-02-08 Online:2023-04-28 Published:2023-10-28
  • Contact: XIA Xiaotang

Abstract:

In order to scientifically develop the agent storage plan of urban flood control materials, in view of the periodic random occurrence of urban flood disasters, a differential game model was constructed to study the process of government and enterprise joint reserve and continuous maintenance to guarantee the demand for emergency response. Furthermore, the government-enterprise maintenance level models under the single reserve decision of the government, the joint reserve decision of government-enterprises and the Stackelberg decision were established, and the influence of maintenance level on material loss degree and system profit was analyzed. Moreover, Taking Wuhan urban waterlogging 2016 as the background, the simulation analysis was carried out by using Mathematic software. The results show that considering the maintenance level of government and enterprises can effectively reduce the material loss, and the government-enterprise joint reserve decision is better than the Stackelberg decision and the government single reserve decision. Under the government-enterprise joint reserve model, the maintenance level, material stock and total profit of the system can be Pareto optimal.

Key words: urban flood control material, government-enterprise joint reserve decision-making, differential game, Stackelberg game, maintenance level