Next Article in Journal
DKP: A Geographic Data and Knowledge Platform for Supporting Climate Service Design
Previous Article in Journal
Modelling Offset Regions around Static and Mobile Locations on a Discrete Global Grid System: An IoT Case Study
Previous Article in Special Issue
GNSS Positioning Using Mobile Devices with the Android Operating System
Open AccessArticle

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

1
Department of Geography, National Taiwan University, Taipei 10617, Taiwan
2
Department of Industrial Engineering &Management, National Taipei University of Technology, Taipei 10608, Taiwan
3
Department of Laboratory Medicine, Taipei Medical University, Taipei 11031, Taiwan
4
School of Medical Laboratory Science and Biotechnology, Taipei Medical University, Taipei 11031, Taiwan
5
Pulmonary Research Center, Wan Fang Hospital, Taipei Medical University, Taipei 11698, Taiwan
6
Fire Department, Disaster Rescue Section, New Taipei City 220225, Taiwan
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2020, 9(5), 336; https://doi.org/10.3390/ijgi9050336
Received: 24 March 2020 / Revised: 14 May 2020 / Accepted: 15 May 2020 / Published: 20 May 2020
(This article belongs to the Special Issue Enhanced Modeling and Surveying Tools for Smart Cities)
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. View Full-Text
Keywords: set covering; ambulance location allocation; EMS; GIS set covering; ambulance location allocation; EMS; GIS
Show Figures

Figure 1

MDPI and ACS Style

Sun, C.-H.; Cheng, C.-Y.; Wang, C.-H.; Hsiao, P.-H. Dynamic Floating Stations Model for Emergency Medical Services with a Consideration of Traffic Data. ISPRS Int. J. Geo-Inf. 2020, 9, 336.

Show more citation formats Show less citations formats
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
Search more from Scilit
 
Search
Back to TopTop