Spatial Location Optimization of Fire Stations with Traffic Status and Urban Functional Areas

Efficient spatial deployment of urban fire stations is highly desired to address the frequent and complex modern urban fires. Various spatial location optimization approaches have been developed to site fire stations. However, most approaches ignored the impact of the traffic status and the actual d...

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Bibliographic Details
Published inApplied spatial analysis and policy Vol. 16; no. 2; pp. 771 - 788
Main Authors Chen, Yuehong, Wu, Guohao, Chen, Yu, Xia, Zelong
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Netherlands 01.06.2023
Springer Nature B.V
Subjects
Case studies
Fire departments
Fires
Human Geography
Landscape/Regional and Urban Planning
Optimization
Regional/Spatial Science
Social Sciences
Urbanization
Urban functional areas
Traffic status
Fire station
Spatial optimization
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Summary:Efficient spatial deployment of urban fire stations is highly desired to address the frequent and complex modern urban fires. Various spatial location optimization approaches have been developed to site fire stations. However, most approaches ignored the impact of the traffic status and the actual demand areas of fire services in the rapid urbanization. This paper develops a multi-objective spatial optimization model to account for the traffic status with the online map and the actual demands of fire services with urban functional areas in siting fire stations. A case study in Nanjing, China is conducted to select fire stations with the developed model. Results demonstrate its effectiveness in siting fire stations and highlighting important policy implications for fire departments to ensure urban safety and resilience.
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ISSN:1874-463X
1874-4621
DOI:10.1007/s12061-023-09502-5