A spatial queuing model for the emergency vehicle districting and location problem

Geroliminis, N; Karlaftis, MG; Skabardonis, A

dc.contributor.author	Geroliminis, N	en
dc.contributor.author	Karlaftis, MG	en
dc.contributor.author	Skabardonis, A	en
dc.date.accessioned	2014-03-01T01:29:41Z
dc.date.available	2014-03-01T01:29:41Z
dc.date.issued	2009	en
dc.identifier.issn	0191-2615	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/19335
dc.subject	Accidents	en
dc.subject	Emergency response	en
dc.subject	Location models	en
dc.subject	Spatial queues	en
dc.subject.classification	Engineering, Civil	en
dc.subject.classification	Operations Research & Management Science	en
dc.subject.classification	Transportation	en
dc.subject.classification	Transportation Science & Technology	en
dc.subject.other	Dispatching problem	en
dc.subject.other	Emergency response	en
dc.subject.other	Emergency response systems	en
dc.subject.other	Freeway service patrols	en
dc.subject.other	High demand	en
dc.subject.other	Location models	en
dc.subject.other	Location problems	en
dc.subject.other	Mean response time	en
dc.subject.other	Queuing models	en
dc.subject.other	Rapid response time	en
dc.subject.other	Service rates	en
dc.subject.other	Spatial queues	en
dc.subject.other	Urban areas	en
dc.subject.other	Urban networks	en
dc.subject.other	Accidents	en
dc.subject.other	Emergency vehicles	en
dc.subject.other	Highway systems	en
dc.subject.other	Military vehicles	en
dc.subject.other	Queueing theory	en
dc.subject.other	Servers	en
dc.subject.other	Location	en
dc.subject.other	accident	en
dc.subject.other	numerical model	en
dc.subject.other	optimization	en
dc.subject.other	spatial analysis	en
dc.subject.other	transport vehicle	en
dc.subject.other	urban area	en
dc.title	A spatial queuing model for the emergency vehicle districting and location problem	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.trb.2009.01.006	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.trb.2009.01.006	en
heal.language	English	en
heal.publicationDate	2009	en
heal.abstract	Emergency response systems in urban areas should be located to ensure adequate coverage and rapid response time. We develop a model for locating emergency vehicles on urban networks considering both spatial and temporal demand characteristics such as the probability that a server is not available when required. We also consider that service rates are not identical but may vary among servers and are dependent upon incident characteristics: corresponding districting and dispatching problems are also integrated in the location model. The model is applied using real data for locating freeway service patrol vehicles and results are compared with existing coverage and median models. Results show improvements in the mean response time particularly in cases of high demand for intervention when compared to 'traditional' models. (C) 2009 Elsevier Ltd. All rights reserved.	en
heal.publisher	PERGAMON-ELSEVIER SCIENCE LTD	en
heal.journalName	Transportation Research Part B: Methodological	en
dc.identifier.doi	10.1016/j.trb.2009.01.006	en
dc.identifier.isi	ISI:000267360200005	en
dc.identifier.volume	43	en
dc.identifier.issue	7	en
dc.identifier.spage	798	en
dc.identifier.epage	811	en