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Assessing Fire Station Accessibility in Guiyang, a Mountainous City, with Nighttime Light and POI Data: An Application of the Enhanced 2SFCA Approach

Year: 2025

Type: article

Abstract: Mountainous urban areas like Guiyang face unique fire safety challenges due to rugged terrain and complex road networks, which hinder fire station accessibility. This study proposes a GIS-based framework that integrates nighttime light (NPP/VIIRS) and point of interest (POI) data to assess fire risk and accessibility. Kernel density estimation quantified POI distributions across four risk categories, and the Spatial Appraisal and Valuation of Environment and Ecosystems (SAVEE) model combined these with NPP/VIIRS data to generate a composite fire risk map. Accessibility was evaluated using the enhanced two-step floating catchment area (E2SFCA) method with road network travel times; 80.13% of demand units were covered within the five-minute threshold, while 53.25% of all units exhibited low accessibility. Spatial autocorrelation analysis (Moran’s I) revealed clustered high risk in central basins and service gaps on surrounding hills, reflecting the dominant influence of terrain alongside protected forests and farmlands. The results indicate that targeted road upgrades and station relocations can improve fire service coverage. The approach is scalable and supports more equitable emergency response in mountainous settings.

Source: ISPRS International Journal of Geo-Information

DOI: 10.3390/ijgi14100393

Authors: Xindong He, Boqing Wu, Guoqiang Shen, Qianqian Lyu, Grace Ofori

Institutions: Chengdu University of Technology, Zhejiang University

Language: English

Topic: Safety and Risk Management

Subfield: Organizational Behavior and Human Resource Management

Field: Business, Management and Accounting

Domain: Social Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure, Reduced inequalities, Climate action

Open Access status: gold

Estimated APC paid: $2,292