Dynamic estimation system for fire station service areas based on travel time data. (December 2020)
- Record Type:
- Journal Article
- Title:
- Dynamic estimation system for fire station service areas based on travel time data. (December 2020)
- Main Title:
- Dynamic estimation system for fire station service areas based on travel time data
- Authors:
- Liu, Dingli
Xu, Zhisheng
Yan, Long
Fan, Chuangang - Abstract:
- Abstract: Fire stations play an important role in improving firefighting capabilities, and their service areas should be determined based on the travel times from each fire station to the surrounding fire risk points. Based on real-time travel time data extracted from online maps, we developed a dynamic estimation system for fire station service areas called FSSA v1.0 and integrated it with the boundary search algorithm for fire service areas. To validate the developed method, 39, 616 fire risk points (points of interest (POIs)) around an urban fire station in Changsha city (CS-FS) were selected as the sample dataset. The service areas of the CS-FS during different time periods (00:00–01:00, 07:40–08:40, 12:00–13:00, and 17:40–18:40) were estimated by calculating and visualizing the travel times from the CS-FS to the POIs. The results indicate that the actual service areas in all scenarios are much smaller than the area of 7 km 2 specified in China's GB 51080-2015 standard. Additionally, the service area of the CS-FS under traffic congestion is significantly smaller than that under normal road traffic conditions. Therefore, fire engines should be temporarily deployed before traffic congestion occurs to reduce travel times. The service areas of other fire stations can also be estimated using FSSA v1.0. Highlights: Propose the boundary search algorithm for fire station service areas. Extract real-time travel time data from Baidu Map. Develop a dynamic estimation system forAbstract: Fire stations play an important role in improving firefighting capabilities, and their service areas should be determined based on the travel times from each fire station to the surrounding fire risk points. Based on real-time travel time data extracted from online maps, we developed a dynamic estimation system for fire station service areas called FSSA v1.0 and integrated it with the boundary search algorithm for fire service areas. To validate the developed method, 39, 616 fire risk points (points of interest (POIs)) around an urban fire station in Changsha city (CS-FS) were selected as the sample dataset. The service areas of the CS-FS during different time periods (00:00–01:00, 07:40–08:40, 12:00–13:00, and 17:40–18:40) were estimated by calculating and visualizing the travel times from the CS-FS to the POIs. The results indicate that the actual service areas in all scenarios are much smaller than the area of 7 km 2 specified in China's GB 51080-2015 standard. Additionally, the service area of the CS-FS under traffic congestion is significantly smaller than that under normal road traffic conditions. Therefore, fire engines should be temporarily deployed before traffic congestion occurs to reduce travel times. The service areas of other fire stations can also be estimated using FSSA v1.0. Highlights: Propose the boundary search algorithm for fire station service areas. Extract real-time travel time data from Baidu Map. Develop a dynamic estimation system for fire station service areas. Analyze a fire station (CS-FS) and its surrounding fire risk points. The service area of the CS-FS varies dynamically with traffic conditions. … (more)
- Is Part Of:
- Fire safety journal. Volume 118(2020)
- Journal:
- Fire safety journal
- Issue:
- Volume 118(2020)
- Issue Display:
- Volume 118, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 118
- Issue:
- 2020
- Issue Sort Value:
- 2020-0118-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-12
- Subjects:
- Fire station -- Service area -- Travel time -- Real time -- Online maps
Fire prevention -- Periodicals
Incendies -- Prévention -- Recherche -- Périodiques
Fire prevention -- Research
Periodicals
628.92205 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03797112 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.firesaf.2020.103238 ↗
- Languages:
- English
- ISSNs:
- 0379-7112
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3933.285000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22702.xml