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Location selection for ambulance stations: A data-driven approach
Li Y.3; Zheng Y.3; Ji S.3; Wang W.2; U L.H.1; Gong Z.1
2015-11-03
Conference Name23rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS)
Source PublicationGIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems
Volume03-06-November-2015
Conference DateNOV 03-06, 2015
Conference PlaceSeattle, WA
Abstract

Emergency medical service provides a variety of services for those in need of emergency care. One of the major challenges encountered by emergency service providers is selecting the appropriate locations for ambulance stations. Prior works measure spatial proximity under Euclidean space or static road network. In this paper, we focus on locating the ambulance stations by using the real traffic information so as to minimize the average travel-time to reach the emergency requests. To this end, we estimate the travel-time of road segments using real GPS trajectories and propose an efficient PAM-based refinement for the location problem. We conduct extensive experimental evaluations using real emergency requests collected from Tianjin, and the result shows that the proposed solution can reduce the travel-time to reach the emergency requests by 29.9% when compared to the original locations of ambulance stations.

KeywordCity Planning Emergency Medical Service
DOI10.1145/2820783.2820876
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems
WOS IDWOS:000395825700085
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Document TypeConference paper
专题DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Universidade de Macau
2.Tianjin University
3.Microsoft Research
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GB/T 7714
Li Y.,Zheng Y.,Ji S.,et al. Location selection for ambulance stations: A data-driven approach[C],2015.
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