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Service Area Delimitation of Fire Stations with Fire Risk Analysis: Implementation and Case Study

Under the rapid development of urbanization, fire service becomes one of the biggest contributive factors to personal health and property safety. A reasonable plan of fire services should first address the issue of service area delimitation for fire emergency facilities. Specifically, there are two...

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Detalles Bibliográficos
Autores principales: Yu, Wenhao, Chen, Yujie, Chen, Zhanlong, Xia, Zelong, Zhou, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7143634/
https://www.ncbi.nlm.nih.gov/pubmed/32204408
http://dx.doi.org/10.3390/ijerph17062030
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author Yu, Wenhao
Chen, Yujie
Chen, Zhanlong
Xia, Zelong
Zhou, Qi
author_facet Yu, Wenhao
Chen, Yujie
Chen, Zhanlong
Xia, Zelong
Zhou, Qi
author_sort Yu, Wenhao
collection PubMed
description Under the rapid development of urbanization, fire service becomes one of the biggest contributive factors to personal health and property safety. A reasonable plan of fire services should first address the issue of service area delimitation for fire emergency facilities. Specifically, there are two key factors for fire services including rescue efficiency and load balancing, which are usually handled by the space partitioning methods (e.g., Voronoi diagram). The traditional methods tend to model the space in a homogeneous plane with Euclidean distance, while in reality, the movement of rescuing is constrained by the street network. In addition, the built environment is complex by its variation of fire risk across places. Therefore, we propose a novel constrained Voronoi diagram for fire service area delimitation by adding the datasets of street network and historical fire incidents. Considering the prior knowledge that a fire engine is expected to reach the location of incident within five minutes, which is also called Golden 5 min, we propose a network partitioning algorithm which is able to increase the five-minute coverage of fire stations. Through a case study in Nanjing, China, we demonstrate the practicability of the proposed method in delimitating service areas of fire stations across time.
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spelling pubmed-71436342020-04-14 Service Area Delimitation of Fire Stations with Fire Risk Analysis: Implementation and Case Study Yu, Wenhao Chen, Yujie Chen, Zhanlong Xia, Zelong Zhou, Qi Int J Environ Res Public Health Article Under the rapid development of urbanization, fire service becomes one of the biggest contributive factors to personal health and property safety. A reasonable plan of fire services should first address the issue of service area delimitation for fire emergency facilities. Specifically, there are two key factors for fire services including rescue efficiency and load balancing, which are usually handled by the space partitioning methods (e.g., Voronoi diagram). The traditional methods tend to model the space in a homogeneous plane with Euclidean distance, while in reality, the movement of rescuing is constrained by the street network. In addition, the built environment is complex by its variation of fire risk across places. Therefore, we propose a novel constrained Voronoi diagram for fire service area delimitation by adding the datasets of street network and historical fire incidents. Considering the prior knowledge that a fire engine is expected to reach the location of incident within five minutes, which is also called Golden 5 min, we propose a network partitioning algorithm which is able to increase the five-minute coverage of fire stations. Through a case study in Nanjing, China, we demonstrate the practicability of the proposed method in delimitating service areas of fire stations across time. MDPI 2020-03-19 2020-03 /pmc/articles/PMC7143634/ /pubmed/32204408 http://dx.doi.org/10.3390/ijerph17062030 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yu, Wenhao
Chen, Yujie
Chen, Zhanlong
Xia, Zelong
Zhou, Qi
Service Area Delimitation of Fire Stations with Fire Risk Analysis: Implementation and Case Study
title Service Area Delimitation of Fire Stations with Fire Risk Analysis: Implementation and Case Study
title_full Service Area Delimitation of Fire Stations with Fire Risk Analysis: Implementation and Case Study
title_fullStr Service Area Delimitation of Fire Stations with Fire Risk Analysis: Implementation and Case Study
title_full_unstemmed Service Area Delimitation of Fire Stations with Fire Risk Analysis: Implementation and Case Study
title_short Service Area Delimitation of Fire Stations with Fire Risk Analysis: Implementation and Case Study
title_sort service area delimitation of fire stations with fire risk analysis: implementation and case study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7143634/
https://www.ncbi.nlm.nih.gov/pubmed/32204408
http://dx.doi.org/10.3390/ijerph17062030
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