Spatial Optimization of Urban Fire Stations Based on the SAVEE Model
DOI:
https://doi.org/10.54097/pjdrm911Keywords:
Fire station; SAVEE model; optimal site selection; spatial pattern visualization.Abstract
Fire emergency service is an important part of urban public health and safety system,and the rationality of its layout directly affects the efficiency of disaster relief response. In this paper, the central urban area of Kunming City is selected as the study area, based on POI, road network and other geospatial data, through AHP hierarchical analysis method and SAVEE model, to realize the identification of potential fire risk area and suitable area for fire stations siting in the study area, and to use the model for minimizing the Number of facilities for spatial optimization of fire station siting. The results show that: 1) the fire risk assessment system is applicable to the study area, and the fire risk is mainly distributed in the northwestern part of the study area; 2) the layout of the existing fire stations is limited, and the existing coverage rate reaches only 71.47%; 3) 6 new fire station sites are added, and the coverage rate increases by 19.75%, and the total coverage rate reaches 91.22%, and the optimized indexes have been greatly improved.
Downloads
References
[1] JIANG Yun-cheng, SUN Li-jian, XIAO Kun, et al. Optimization of urban fire station site layout[J]. Surveying and Mapping Science, 2021, 46(9): 207-217.
[2] Bai Hua,Wu Yue. Optimization of fire station layout in old urban areas[J]. China Journal of Safety Science, 2010, 20(8): 81-87.
[3] WU Mei-wen. Optimization of urban fire station layout based on discrete positioning model [J]. System Simulation Technology, 2006 (1):58-62.
[4] Zeng Liqun, Shan Guobin. Site selection of Weizhou Island fire station based on Dijkstra's labeling method[J]. Fire Science and Technology, 2015, 34(5): 678-680.
[5] Hu Chuanping. Research on regional fire risk assessment and optimization of fire-fighting and rescue force layout [D]. Tongji University,2007.
[6] ZHU Mingming, LU Jing, YU Wenchang,et al. Research on fire risk assessment and optimization of fire protection facilities layout in urban POIs--taking the main urban area of Wuhan as an example [J]. Geographic Research and Development, 2018, 37(4):86-91.
[7] Liu Shang. Research on optimization of urban fire station layout based on spatial syntax and GIS network analysis [D]. Hefei University of Technology,2020.
[8] YU Zhijin, XU Lan, CHEN Shuangshang, et al. Urban fire station layout planning based on model intersection method[J]. China Journal of Safety Science,2022,32(10):178-185.
[9] Chen Kaijia. Research on optimization of fire station site selection based on particle swarm algorithm [D]. South China University of Technology,2018.
[10] GUO Jingwen, ZHAO Pengpeng, NI Jiacheng. Fire station site selection planning model based on genetic algorithm[J]. Computer Applications, 2020,40(S1):41-44.
[11] LU Houqing, YUAN Hui, LIU Cheng. Optimization of urban fire station layout based on continuous coverage[J]. Computer Applications, 2012, 32(3): 852-854+860.
[12] Hou Guanjie. Research on fire fighting capability assessment and fire fighting strategy of traditional wooden structure building complex [D]. Tsinghua University,2022.
[13] Chen Shaoyang, Cheng Zhenyan, Douglas K Loh.Evaluation of spatial value of islands based on the SAVEE method--Taking Nansha Islands as an example [J]. Marine Environmental Science,2012,31(1):107-110.
[14] LOH D K,HSIEH Y T C,CHOO Y K,et al.Integration of a rule-based expert system with GIS through a relational database management system for forest resource management [J]. Computers and Electronics in Agriculture, 1994,11(2-3):215-228.
[15] LOH D K,HOLTFRERICH D R,VAN STIPDONK S E P.Automated construction of rule bases for forest resource planning[J].Computers and Electronics in Agriculture, 1998, 21(2): 117-133.
[16] Construction Standard 152-2017, Standard for the construction of urban fire stations [S].
[17] XU Zhibang, ZHOU Liang, LAN Ting, WANG Zhonghui, SUN Li,WU Rongwei. Spatial optimization of megacity fire station based on POI data--taking the area within the fifth ring road of Beijing as an example[J]. Advances in Geographic Science,2018(4):535-546.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Academic Journal of Science and Technology

This work is licensed under a Creative Commons Attribution 4.0 International License.








