Author(s)

HaoRan Xiong

Affiliation(s)

International College, Jiangxi University of Finance and Economics, Nanchang 330000, Jiangxi, China.

Corresponding Author

HaoRan Xiong

ABSTRACT

Fires pose a serious threat to life and property. A rational layout of fire stations is crucial for enhancing the fire - fighting emergency response capacity. This paper comprehensively applies the TOPSIS comprehensive evaluation model, the non - integer rank - sum ratio (RSR) model, the simulated annealing algorithm (SA), and the analytic hierarchy process (AHP) to study the optimization of urban fire station layouts. By using the first two models combined with the entropy weight method to evaluate the existing layout, problems such as insufficient coverage and long response times were identified. The SA was used to optimize the layout, which reduced the average response time by 4.7 minutes and balanced the jurisdiction scope. The AHP was used to clarify that factors such as fire risk levels are key factors affecting the layout. However, the simulated annealing algorithm has limitations such as slow convergence. Future research can introduce adaptive simulated annealing algorithms and strengthen the study of dynamic factors for improvement. This research provides a scientific basis and a feasible solution for the optimization of urban fire station layouts.

KEYWORDS

Layout Optimization; TOPSIS; NIRSR model; SA algorithm; AHP

CITE THIS PAPER

HaoRan Xiong. A fire station layout optimization model based on simulated annealing. Journal of Computer Science and Electrical Engineering. 2025, 7(2): 50-57. DOI: https://doi.org/10.61784/jcsee3047.

REFERENCES

[1] Wang Xianjie. Research on the Optimization of Urban Fire Station Location Selection Based on Hot - Spot Factor Analysis. South China University of Technology, 2014.

[2] Wang Yarong, Zhao Haipeng, Zhou Weitao, et al. Optimization Practice of Urban Fire Station Layout Integrating the Influence of Multiple Factors. Fire Science and Technology, 2024, 43(04): 551-556.

[3] Yao Yongfeng, Jia Hongchen, Zhang Yan, et al. Research on the Optimal Layout of Fire - Fighting Resources in Urban Areas. Fire Science and Technology, 2023, 41(02): 258-262.

[4] Jiang Yuncheng, Sun Lijian, Xiao Kun, et al. Research on the Location and Layout Optimization of Urban Fire Stations. Science of Surveying and Mapping, 2021, 46(09): 207-217.

[5] Guo Jingwen, Zhao Pengpeng, Ni Jiacheng. Fire Station Location Planning Model Based on Genetic Algorithm. Journal of Computer Applications, 2020, 40(S1): 41-44.

[6] Cao Yue, Li Jing, Gu Yu, et al. Optimization Method for Fire Station Location Based on the Lagrangian Relaxation Framework. Fire Science and Technology, 2023, 42(08): 1141-1146.

[7] Chaudhary P, Chhetri S K, Joshi K M, et al. Application of an analytic hierarchy process (AHP) in the GIS interface for suitable fire site selection: A case study from Kathmandu Metropolitan City, Nepal. Socio - Economic Planning Sciences,2016, 53, 60-71. 

[8] Yu H, Feng X, Zhao, X. Application of the rank - sum ratio method in the comprehensive evaluation of the quality of life in different regions. Chinese Journal of Health Statistics, 2018, 35 (1): 10 - 13.