Dynamic Evaluation of Fire Service Accessibility for Fireworks Manufacturers

Although fire service accessibility has been extensively studied for urban public facilities such as hospitals and parks, it remains largely unexplored for high-risk industrial facilities such as fireworks manufacturers. In this study, fire risk and transportation network conditions are jointly considered, and a dynamic risk-weighted fire service accessibility evaluation framework is developed. An empirical study was conducted using 35 fire stations and 410 fireworks manufacturers in Liuyang City, China. Fire truck travel times were simulated via online map application programming interfaces (APIs) at 10–30 min intervals over a continuous three-day period, generating 193 evaluation scenarios and 158,260 data samples. The results indicate that the total average travel time of different types of fire trucks to demand points with varying risk levels was found to range from 570.33 to 1362.18 s, and risk-weighted fire service accessibility ranges from 16.84 to 57.26, reflecting a generally poor level of fire service accessibility within the current transport network. To resolve these constraints, it is recommended to optimize the spatial configuration of micro fire stations, promote the collaborative planning of shared enterprise-based fire units, and cross-integrate accessibility metrics into regional industrial land-use planning. These spatial measures are expected to significantly enhance the spatial resilience of transportation systems serving peripheral high-risk industrial clusters.

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Publication Details

Journal
ISPRS International Journal of Geo-Information
Published
2026-08-24
DOI
https://doi.org/10.3390/ijgi15090378
Primary Topic
Evacuation and Crowd Dynamics
Type
article
Field-Weighted Citation Impact
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article

Dynamic Evaluation of Fire Service Accessibility for Fireworks Manufacturers

Dingli Liu, Long Yan, Feiyue Wang, Wentao Zhao et al.
ISPRS International Journal of Geo-Information
Evacuation and Crowd Dynamics
article

Dynamic Evaluation of Fire Service Accessibility for Fireworks Manufacturers

Dingli Liu, Long Yan, Feiyue Wang, Wentao Zhao, Yan Tang
article en

Abstract

Although fire service accessibility has been extensively studied for urban public facilities such as hospitals and parks, it remains largely unexplored for high-risk industrial facilities such as fireworks manufacturers. In this study, fire risk and transportation network conditions are jointly considered, and a dynamic risk-weighted fire service accessibility evaluation framework is developed. An empirical study was conducted using 35 fire stations and 410 fireworks manufacturers in Liuyang City, China. Fire truck travel times were simulated via online map application programming interfaces (APIs) at 10–30 min intervals over a continuous three-day period, generating 193 evaluation scenarios and 158,260 data samples. The results indicate that the total average travel time of different types of fire trucks to demand points with varying risk levels was found to range from 570.33 to 1362.18 s, and risk-weighted fire service accessibility ranges from 16.84 to 57.26, reflecting a generally poor level of fire service accessibility within the current transport network. To resolve these constraints, it is recommended to optimize the spatial configuration of micro fire stations, promote the collaborative planning of shared enterprise-based fire units, and cross-integrate accessibility metrics into regional industrial land-use planning. These spatial measures are expected to significantly enhance the spatial resilience of transportation systems serving peripheral high-risk industrial clusters.

ISPRS International Journal of Geo-InformationVol. 15(9)
Central South University (CN), Institute of Disaster Prevention (CN), Changsha University of Science and Technology (CN)
Sustainable cities and communities
Openalex Percentile: Top 13%
Evacuation and Crowd Dynamics
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Dynamic Evaluation of Fire Service Accessibility for Fireworks Manufacturers — Dingli Liu, Long Yan, et al. · ISPRS International Journal of Geo-Information (2026) | TGRS Research Map | TGRS