Focusing on centrality measure in emergency medical services

Xian Cheng, Stephen Shaoyi Liao, Wei Dong, Yang Dai, Xiaolu Yang

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

2 Citations (Scopus)

Abstract

Emergency Medical Services (EMS) attracted many researchers because the demand of EMS was increasing over time. One of the major concerns of EMS is the response time and ambulance despatching is one of the vital factors which affects the response time. This paper focuses on the problem of ambulance despatching when many emergency calls emerge in a short time, which exists under the condition of catastrophic natural or manmade disasters. We modify a new method for ambulance despatching by centrality measure, this method constructs a nearest-neighbor coupled emergency call network and then prioritize those calls by the score of fitness, where the score of fitness considers two factors: Centralized measure a call by the emergency call network and the closest policy which means despatching to the closest call site. This method is testified by a series of simulation experiments on the real topology road network of Hong Kong Island which contains 8 hospitals. These analyses demonstrate the real situation and proof the potential of centrality measure in reducing response time of EMS.
Original languageEnglish
Title of host publicationProceedings - Pacific Asia Conference on Information Systems, PACIS 2014
PublisherPacific Asia Conference on Information Systems
Publication statusPublished - 2014
Event18th Pacific Asia Conference on Information Systems, PACIS 2014 - Chengdu, China
Duration: 24 Jun 201428 Jun 2014
http://aisel.aisnet.org/pacis2014/

Conference

Conference18th Pacific Asia Conference on Information Systems, PACIS 2014
PlaceChina
CityChengdu
Period24/06/1428/06/14
Internet address

Research Keywords

  • Ambulance despatching decision
  • Centrality measures
  • Emergency medical services
  • Network analysis

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