A stochastic programming approach for Shelter location and evacuation planning

Simple item page
buir.contributor.authorYaman, Hande
dc.citation.epage805en_US
dc.citation.issueNumber3en_US
dc.citation.spage779en_US
dc.citation.volumeNumber53en_US
dc.contributor.authorBayram, V.en_US
dc.contributor.authorYaman, Handeen_US
dc.date.accessioned2019-01-27T13:41:31Z
dc.date.available2019-01-27T13:41:31Z
dc.date.issued2018en_US
dc.departmentDepartment of Industrial Engineeringen_US
dc.description.abstractShelter location and traffic allocation decisions are critical for an efficient evacuation plan. In this study, we propose a scenario-based two-stage stochastic evacuation planning model that optimally locates shelter sites and that assigns evacuees to nearest shelters and to shortest paths within a tolerance degree to minimize the expected total evacuation time. Our model considers the uncertainty in the evacuation demand and the disruption in the road network and shelter sites. We present a case study for a potential earthquake in Istanbul. We compare the performance of the stochastic programming solutions to solutions based on single scenarios and mean valuesen_US
dc.identifier.doi10.1051/ro/2017046en_US
dc.identifier.eissn1290-3868
dc.identifier.issn0399-0559
dc.identifier.urihttp://hdl.handle.net/11693/48401
dc.language.isoEnglishen_US
dc.publisherEDP Sciencesen_US
dc.relation.isversionofhttps://doi.org/10.1051/ro/2017046en_US
dc.source.titleRAIRO - Operations Researchen_US
dc.subjectDisaster managementen_US
dc.subjectEvacuation traffic managementen_US
dc.subjectShelter locationen_US
dc.subjectConstrained system optimalen_US
dc.subjectTwo-stage stochastic programmingen_US
dc.subjectSecond order cone programmingen_US
dc.titleA stochastic programming approach for Shelter location and evacuation planningen_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
A_stochastic_programming_approach_for_Shelter_location_and_evacuation_planning.pdf
Size:
683.14 KB
Format:
Adobe Portable Document Format
Description:
Full printable version
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Department of Industrial Engineering