Next Article in Journal
The Impact of COVID-19 Epidemic Declaration on Psychological Consequences: A Study on Active Weibo Users
Previous Article in Journal
A Systematic Review Protocol to Identify the Key Benefits and Associated Program Characteristics of Community Gardening for Vulnerable Populations
Article

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

by 1,2,3,*, 1,*, 1, 4 and 1
1
School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China
2
State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
3
Key Laboratory of Geological Survey and Evaluation of Ministry of Education, China University of Geosciences, Wuhan 430074, China
4
School of Earth Sciences and Engineering, Hohai University, Nanjing 210098, China
*
Authors to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(6), 2030; https://doi.org/10.3390/ijerph17062030
Received: 24 January 2020 / Revised: 13 March 2020 / Accepted: 16 March 2020 / Published: 19 March 2020
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. View Full-Text
Keywords: fire stations; fire incident; service area; emergency facilities fire stations; fire incident; service area; emergency facilities
Show Figures

Figure 1

MDPI and ACS Style

Yu, W.; Chen, Y.; Chen, Z.; Xia, Z.; Zhou, Q. Service Area Delimitation of Fire Stations with Fire Risk Analysis: Implementation and Case Study. Int. J. Environ. Res. Public Health 2020, 17, 2030. https://doi.org/10.3390/ijerph17062030

AMA Style

Yu W, Chen Y, Chen Z, Xia Z, Zhou Q. Service Area Delimitation of Fire Stations with Fire Risk Analysis: Implementation and Case Study. International Journal of Environmental Research and Public Health. 2020; 17(6):2030. https://doi.org/10.3390/ijerph17062030

Chicago/Turabian Style

Yu, Wenhao, Yujie Chen, Zhanlong Chen, Zelong Xia, and Qi Zhou. 2020. "Service Area Delimitation of Fire Stations with Fire Risk Analysis: Implementation and Case Study" International Journal of Environmental Research and Public Health 17, no. 6: 2030. https://doi.org/10.3390/ijerph17062030

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop