Shandong Science ›› 2023, Vol. 36 ›› Issue (6): 105-111.doi: 10.3976/j.issn.1002-4026.2023.06.013

• Traffic and Transportation • Previous Articles     Next Articles

Optimization on supply-demand matching of fire stations with capacity constraints

ZHOU Tong1(), MENG Zihao2, LIU Kanglin2,*()   

  1. 1. Training and Rescue Sector, Beijing Fire and Rescue Department, Beijing 100035,China
    2. School of Traffic and Transportation,Beijing Jiaotong University, Beijing 100044,China
  • Received:2023-02-13 Online:2023-12-20 Published:2023-12-07

Abstract:

In order to improve the emergency service level of the fire station and reduce the emergency response time, this paper has improved the current traditional method of manual decision-making on the supply and demand matching of rescue. Based on the full investigation of empirical data and automatic batch acquisition of geographic data, this paper proposed an optimization strategy for the supply and demand matching of fire rescue stations considering service capacity, and constructed it as a mixed integer programming model. Then, based on the actual distribution of fire rescue stations in Xicheng District of Beijing and the location of high-frequency demand nodes, this model was validated. The research results showed that compared to the manual decision only considering the service distance, the mathematical model proposed in this paper can realize the automatic matching of fire rescue facilities in a short time, fully dispatch the rescue service capacity, and provide a new solution for optimizing the emergency rescue supply and demand service matching.

Key words: emergency logistics, fire stations, matching, capacity, mixed integer programing

CLC Number: 

  • U121