Dynamic Floating Stations Model for Emergency Medical Services with a Consideration of Traffic Data

Dynamic Floating Stations Model for Emergency Medical Services with a Consideration of Traffic Data

To equally distribute the workload and minimize the travel distance for fire departments, we developed a new dynamic floating stations model (DFSM) to target traffic-related emergency medical services (EMS) during peak hours. This study revealed that traffic-related EMS incidents have different char...

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Bibliographic Details
Main Authors: Chih-Hong Sun, Chen-Yang Cheng, Cheng-Hui Wang, Po-Huan Hsiao
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Set covering
ambulance location allocation
EMS
GIS
Online Access:https://www.mdpi.com/2220-9964/9/5/336
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spelling doaj-b1ae90b55ee340bca5d733f26eea1c222020-11-25T02:15:30ZengMDPI AGISPRS International Journal of Geo-Information2220-99642020-05-01933633610.3390/ijgi9050336Dynamic Floating Stations Model for Emergency Medical Services with a Consideration of Traffic DataChih-Hong Sun0Chen-Yang Cheng1Cheng-Hui Wang2Po-Huan Hsiao3Department of Geography, National Taiwan University, Taipei 10617, TaiwanDepartment of Industrial Engineering &Management, National Taipei University of Technology, Taipei 10608, TaiwanDepartment of Laboratory Medicine, Taipei Medical University, Taipei 11031, TaiwanDepartment of Geography, National Taiwan University, Taipei 10617, TaiwanTo equally distribute the workload and minimize the travel distance for fire departments, we developed a new dynamic floating stations model (DFSM) to target traffic-related emergency medical services (EMS) during peak hours. This study revealed that traffic-related EMS incidents have different characteristics to other EMS incidents. The number of floating stations was determined by the number of available ambulances at a given time. The optimum floating station location was identified by using the given capacity to establish the smallest service radius. In DFSM simulations using floating stations with a capacity of 100 and 150 EMS incidents, the result shows significant improvements in comparison to the current situation.https://www.mdpi.com/2220-9964/9/5/336Set coveringambulance location allocationEMSGIS
collection DOAJ
language English
format Article
sources DOAJ
author Chih-Hong Sun
Chen-Yang Cheng
Cheng-Hui Wang
Po-Huan Hsiao
spellingShingle Chih-Hong Sun
Chen-Yang Cheng
Cheng-Hui Wang
Po-Huan Hsiao
Dynamic Floating Stations Model for Emergency Medical Services with a Consideration of Traffic Data
ISPRS International Journal of Geo-Information
Set covering
ambulance location allocation
EMS
GIS
author_facet Chih-Hong Sun
Chen-Yang Cheng
Cheng-Hui Wang
Po-Huan Hsiao
author_sort Chih-Hong Sun
title Dynamic Floating Stations Model for Emergency Medical Services with a Consideration of Traffic Data
title_short Dynamic Floating Stations Model for Emergency Medical Services with a Consideration of Traffic Data
title_full Dynamic Floating Stations Model for Emergency Medical Services with a Consideration of Traffic Data
title_fullStr Dynamic Floating Stations Model for Emergency Medical Services with a Consideration of Traffic Data
title_full_unstemmed Dynamic Floating Stations Model for Emergency Medical Services with a Consideration of Traffic Data
title_sort dynamic floating stations model for emergency medical services with a consideration of traffic data
publisher MDPI AG
series ISPRS International Journal of Geo-Information
issn 2220-9964
publishDate 2020-05-01
description To equally distribute the workload and minimize the travel distance for fire departments, we developed a new dynamic floating stations model (DFSM) to target traffic-related emergency medical services (EMS) during peak hours. This study revealed that traffic-related EMS incidents have different characteristics to other EMS incidents. The number of floating stations was determined by the number of available ambulances at a given time. The optimum floating station location was identified by using the given capacity to establish the smallest service radius. In DFSM simulations using floating stations with a capacity of 100 and 150 EMS incidents, the result shows significant improvements in comparison to the current situation.
topic Set covering
ambulance location allocation
EMS
GIS
url https://www.mdpi.com/2220-9964/9/5/336
work_keys_str_mv AT chihhongsun dynamicfloatingstationsmodelforemergencymedicalserviceswithaconsiderationoftrafficdata
AT chenyangcheng dynamicfloatingstationsmodelforemergencymedicalserviceswithaconsiderationoftrafficdata
AT chenghuiwang dynamicfloatingstationsmodelforemergencymedicalserviceswithaconsiderationoftrafficdata
AT pohuanhsiao dynamicfloatingstationsmodelforemergencymedicalserviceswithaconsiderationoftrafficdata
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