Integrating Space Syntax and Location-Allocation Model for Fire Station Location Planning in a China Mega City

• Published in: Fire (Basel, Switzerland) Vol. 6; no. 2; p. 64
• Main Authors: Tian, Fengshi, Lei, Junjun, Zheng, Xin, Yin, Yanfu
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.02.2023
• Subjects: Accessibility; Big Data; Casualties; Cities; Emergency communications systems; Emergency management; Emergency preparedness; Emergency response; Emergency services; Evacuations & rescues; Fire prevention; fire station; Fire stations; Fires; Infrastructure; Location; Network analysis; points of interest; Population density; Public services; Rescue services; Resource allocation; road accessibility; Roads; Roads & highways; Spatial analysis; spatial design network analysis; Spatial distribution; Transportation networks; Urban areas; visitor throughput; China
• ISSN: 2571-6255; 2571-6255
• DOI: 10.3390/fire6020064

The appropriate planning of infrastructure protects people’s lives and property. Fire stations are an essential part of a city’s infrastructure and they must be precisely located to shorten emergency response times and reduce casualties. Recently, the focus of the city emergency service has shifted from fire suppression to technical rescues. We compared the spatial distribution of fire suppression and technical rescues at a city scale to show the variation in their influences. An integrated road-network accessibility and location-allocation model (RNALA) for the location planning of a fire station was proposed. Specific sites for fire stations were identified using the L-A model. Then, the spatial design network analysis was performed to quantify areas around the selected site with high road network accessibility. The RNALA model was used to extend the selection from a point to a region by introducing road network accessibility to accomplish coverage and efficiency requirements. A quantitative and universal approach that focuses on fire station location planning based on emergency services is proposed. This methodology provides a practical solution for implementation, as a specific identified location might not be available for implementation. These results can serve as a reference for identifying fire station locations in cities.