Modeling of bus transit driver availability for effective emergency evacuation in disaster relief

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dc.citation.epage55en_US
dc.citation.issueNumber2376en_US
dc.citation.spage45en_US
dc.contributor.authorMorgul, E.en_US
dc.contributor.authorCavus, O.en_US
dc.contributor.authorOzbay, K.en_US
dc.contributor.authorIyigun, C.en_US
dc.date.accessioned2016-02-08T11:03:59Z
dc.date.available2016-02-08T11:03:59Z
dc.date.issued2013en_US
dc.departmentDepartment of Industrial Engineeringen_US
dc.description.abstractPotential evacuees without access to personal automobiles are expected to use transit, especially buses, to reach safer regions. For a transit agency, operation problems to be considered include establishing bus launch areas, positioning the minimum number of required buses, and coordinating transit operators, especially determining whether the number of drivers will be sufficient to cover the number of vehicles (i.e., buses) to be used during the evacuation. It is also highly probable that during an emergency, absenteeism rates for bus drivers might increase. In this study, the authors developed two stochastic models to determine the need for extra drivers during an emergency evacuation and to provide optimal solutions using well-established concepts in mathematical programming. First, the authors reviewed the literature to develop an effective methodology for the development of optimal extraboard management strategies. The authors found that although several recent reports clearly mentioned the problem of not having enough bus drivers during emergency evacuation operations, no analytical study incorporated the optimal extraboard size problem into emergency evacuation operations. Second, two mathematical models are presented in this paper. The aim of the developed models is to fill the gap in the literature for determining optimal extraboard size for transit operations during emergency evacuations. The models are specifically designed to capture risk-averse behavior of decision makers. Finally, these models were tested with hypothetical examples from real-world data from New Jersey. Results show that both models give reasonable extraboard size estimates, and under different conditions, these models are responsive to the changes in cost and quality of service preferences. The results are encouraging in terms of the models' usefulness for real-world applications.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T11:03:59Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2013en
dc.identifier.doi10.3141/2376-06en_US
dc.identifier.eissn2169-405
dc.identifier.issn0361-1981
dc.identifier.urihttp://hdl.handle.net/11693/26725
dc.language.isoEnglishen_US
dc.relation.isversionofhttp://dx.doi.org/10.3141/2376-06en_US
dc.source.titleTransportation Research Recorden_US
dc.subjectAnalytical studiesen_US
dc.subjectEmergency evacuationen_US
dc.subjectManagement strategiesen_US
dc.subjectNumber of vehiclesen_US
dc.subjectOperation problemen_US
dc.subjectOptimal solutionsen_US
dc.subjectTransit operationsen_US
dc.subjectTransit operatorsen_US
dc.subjectDisaster preventionen_US
dc.subjectMathematical modelsen_US
dc.subjectMathematical programmingen_US
dc.titleModeling of bus transit driver availability for effective emergency evacuation in disaster reliefen_US
dc.typeArticleen_US

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