Evacuation of a highly congested urban city

LAUR Repository

Show simple item record

dc.contributor.author El Khoury, John
dc.contributor.author Arnaout, Jean-Paul M.
dc.contributor.author El Khoury, Caline
dc.date.accessioned 2017-07-20T10:35:04Z
dc.date.available 2017-07-20T10:35:04Z
dc.date.issued 2017-07-20
dc.identifier.citation El Khoury, J., Arnaout, J. P. M., & El Khoury, C. (2015). Evacuation of a Highly Congested Urban City: the Case of Beirut. en_US
dc.identifier.uri http://hdl.handle.net/10725/5930
dc.description.abstract For a given transportation network, evacuation route planning identifies routes and route schedules to minimize the time to evacuate the vulnerable population due to an imminent disaster. In this paper, we present a capacity-constrained routing optimization approach to maximize the total evacuees for short notice evacuation planning in case of both natural and/or man-made disasters. The methodology is scaled to a highly congested urban city with a transportation network capacity well below daily peak demands. As the evacuation route planning is computationally challenging, an evacuation scheduling algorithm was adopted to expedite the solution process. The algorithm uses Dijkstras algorithm to find the shortest path(s) and a modified greedy algorithm to assign maximum flows to selected paths given a specific schedule per time interval. A case study using real population and transportation network data was tested using the proposed methodology. The results show that the city is in grave danger due to the high population density and disproportionate network capacity. en_US
dc.language.iso en en_US
dc.title Evacuation of a highly congested urban city en_US
dc.type Conference Paper / Proceeding en_US
dc.title.subtitle the case of Beirut en_US
dc.author.school SOE en_US
dc.author.idnumber 200103005 en_US
dc.author.department Civil Engineering en_US
dc.description.embargo N/A en_US
dc.keywords Evacuation en_US
dc.keywords Route planning en_US
dc.keywords Disasters en_US
dc.keywords Capacity-constrained en_US
dc.author.email john.khoury@lau.edu.lb en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url http://iieom.org/ICMOE2015/papers/138.pdf en_US
dc.author.affiliation Lebanese American University en_US

Files in this item

This item appears in the following Collection(s)

Show simple item record

Search LAUR

Advanced Search


My Account