Post-disaster assessment routing problem

dc.citation.epage102en_US
dc.citation.spage76en_US
dc.citation.volumeNumber116en_US
dc.contributor.authorOruç, Buse Eylülen_US
dc.contributor.authorKara, Bahar Yetişen_US
dc.contributor.bilkentauthorOruç, Buse Eylülen_US
dc.contributor.bilkentauthorKara, Bahar Yetişen_US
dc.date.accessioned2019-02-21T16:02:05Z
dc.date.available2019-02-21T16:02:05Z
dc.date.issued2018en_US
dc.departmentDepartment of Industrial Engineeringen_US
dc.description.abstractIn this study, we propose a post-disaster assessment strategy as part of response operations in which effective and fast relief routing are of utmost importance. In particular, the road segments and the population points to perform assessment activities on are selected based on the value they add to the consecutive response operations. To this end, we develop a bi-objective mathematical model that provides damage information in the affected region by considering both the importance of population centers and road segments on the transportation network through using aerial and ground vehicles (drones and motorcycles). The first objective aims to maximize the total value added by the assessment of the road segments (arcs) whereas the second maximizes the total profit generated by assessing points of interests (nodes). Bi-objectivity of the problem is studied with the ϵ-constraint method. Since obtaining solutions as fast as possible is crucial in the post-disaster condition, heuristic methods are also proposed. To test the mathematical model and the heuristic methods, a data set belonging to Kartal district of Istanbul is used. Computational experiments demonstrate that the use of drones in post-disaster assessment contributes to the assessment of a larger area due to its angular point of view. Also, the proposed heuristic methods not only can find a high-quality approximation of the Pareto front but also mitigates the solution time difficulties of the mathematical model.
dc.embargo.release2020-10-01en_US
dc.identifier.doi10.1016/j.trb.2018.08.002
dc.identifier.issn0191-2615
dc.identifier.urihttp://hdl.handle.net/11693/49961
dc.language.isoEnglish
dc.publisherElsevier
dc.relation.isversionofhttps://doi.org/10.1016/j.trb.2018.08.002
dc.source.titleTransportation Research Part B: Methodologicalen_US
dc.subjectDisaster managementen_US
dc.subjectGeneral routingen_US
dc.subjectHumanitarian logisticsen_US
dc.subjectMulti-objectiveen_US
dc.titlePost-disaster assessment routing problemen_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Post_disaster_assessment_routing_problem.pdf
Size:
1.5 MB
Format:
Adobe Portable Document Format
Description:
Full printable version