Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/90659
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dc.contributorDepartment of Logistics and Maritime Studiesen_US
dc.creatorZeng, Zen_US
dc.creatorYi, Wen_US
dc.creatorWang, Sen_US
dc.creatorQu, Xen_US
dc.date.accessioned2021-08-13T06:13:37Z-
dc.date.available2021-08-13T06:13:37Z-
dc.identifier.issn2473-2907en_US
dc.identifier.urihttp://hdl.handle.net/10397/90659-
dc.language.isoenen_US
dc.publisherAmerican Society of Civil Engineersen_US
dc.rights© ASCEen_US
dc.rightsThis material may be downloaded for personal use only. Any other use requires prior permission of the American Society of Civil Engineers. This material may be found at https://ascelibrary.org/doi/10.1061/JTEPBS.0000577en_US
dc.subjectAmbulance allocationen_US
dc.subjectAmbulance routingen_US
dc.subjectLane preclearingen_US
dc.subjectMultistakeholder cooperationen_US
dc.subjectPrehospital screeningen_US
dc.titleEmergency vehicle routing in urban road networks with multistakeholder cooperationen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume147en_US
dc.identifier.issue10en_US
dc.identifier.doi10.1061/JTEPBS.0000577en_US
dcterms.abstractThe lack of multistakeholder cooperation is one of the main challenges faced by emergency medical services (EMS). Especially in the ambulance routing process, inactive traffic operators fail to provide coordination to prioritize the ambulance, while ignoring the choice of hospitals will lead to inevitable patient transfer between hospitals. To provide efficient decision support for EMS, this paper considers daily ambulance routing problems in a network with high spatial resolution in which two advanced technologies are introduced: prehospital screening that provides patient injury diagnosis and lane preclearing that ensures the predefined driving speed of ambulances. Three different types of ambulances are used to transport and offer first aid to patients based on the screened results. To manage the ambulance fleet properly, a mixed-integer linear programming (MIP) model is proposed to assign vehicles to the injured and plan routes with the shortest travel time. A semisoft time window constraint is incorporated to reflect the late arrival penalty onsite and at hospitals. Because high-quality EMS responds to the call in seconds, a real-world case in Shenzhen, China, is presented to validate the computational performance by a commercial solver: the general algebraic modeling system (GAMS). In the case study, we further analyzed the effect of different stakeholders' involvement, like the hospitals and traffic operators. This information proves the efficiency of multistakeholder participation in ambulance routing.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of transportation engineering. Part A : Systems, Oct. 2021, v. 147, no. 10, 4021064en_US
dcterms.isPartOfJournal of transportation engineering. Part A : Systemsen_US
dcterms.issued2021-10-
dc.identifier.scopus2-s2.0-85111414011-
dc.identifier.eissn2473-2893en_US
dc.identifier.artn4021064en_US
dc.description.validate202108 bchyen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera1003-n07-
dc.identifier.SubFormID2389-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
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