Identifying geographically diverse routes for the transportation of hazardous materials
Yashoda Dadkar,
Dean Jones and
Linda Nozick
Transportation Research Part E: Logistics and Transportation Review, 2008, vol. 44, issue 3, 333-349
Abstract:
Often, the carrier/shipper of hazardous materials is interested in a collection of routes with approximately the same performance so that they can switch between different routes to avoid exposing the same population and potentially as a security measure. We develop a K shortest path algorithm for which the performance of each highway facility, with respect to each objective, can be stochastic and can vary over time. We also devise a mixed integer program to identify a subset of paths, which represents an acceptable trade-off between geographic diversity and performance. These models are then applied to a realistic case study.
Keywords: Hazardous; materials; Stochastic; dynamic; network; Routing; K; shortest; path; problem; Genetic; algorithm (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations: View citations in EconPapers (12)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1366554506000883
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:transe:v:44:y:2008:i:3:p:333-349
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/bibliographic
http://www.elsevier. ... 600244/bibliographic
Access Statistics for this article
Transportation Research Part E: Logistics and Transportation Review is currently edited by W. Talley
More articles in Transportation Research Part E: Logistics and Transportation Review from Elsevier
Bibliographic data for series maintained by Catherine Liu ().