Research on Urban Fire Station Layout Planning Based on a Combined Model Method

• Published in: ISPRS international journal of geo-information Vol. 12; no. 3; p. 135
• Main Authors: Yu, Zhijin, Xu, Lan, Chen, Shuangshuang, Jin, Ce
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.03.2023
• Subjects: Casualties; Cities; combined model method; Decision making; Efficiency; Fire control; Fire fighting; fire rescue capability; Fire safety; Fire services; fire station planning; Fire stations; Fires; Layouts; location–allocation model; maximal covering location mode; Methods; Planning; Population density; Regional planning; Response time; Risk factors; Roads; Security; Service areas; Traffic; Urban areas; urban firefighting security; Urbanization; China
• DOI: 10.3390/ijgi12030135
• ISSN: 2220-9964

With the rapid development of urbanization, fire risk factors have increased greatly, indicating a higher requirement for urban firefighting security. Fire rescue capabilities can be effectively improved by the scientific layout of fire stations, and therefore, the optimal spatial arrangement of fire stations has practical implications for urban safety. In this paper, a method for planning the locations of urban fire stations is presented, taking into account the fire risk points of interest (POIs) data, road networks and fire station planning principles. The combined model method is validated against the nearest facility point model, and the service area model is proposed for the coverage of POIs and regional areas of planned new sites. The efficacy of the model is demonstrated through an improvement in the coverage of crosspoints of the regional area and points of interest (POIs), with increases of 10.20% and 12.43%, respectively. We applied the combined model method to Fengdong New Town, Shaanxi Province, China. A total of 11 new potential sites were proposed to improve the efficiency of spatial coverage, and subsequently, the coverage rate of the POIs and regional area reached 97.66% and 84.80%, respectively. This study provides application guidelines for the decision-making of fire services and the allocation of firefighting resources.