A Comprehensive Modeling Framework for Hazmat Network Design, Hazmat Response Team Location, and Equity of Risk
Document Type
Article
Publication Date
3-2017
Keywords
hazmat emergency response team, bi-level network design, greedy heuristic algorithm, equity of risk, robust solution
Digital Object Identifier (DOI)
https://doi.org/10.1016/j.cor.2016.10.005
Abstract
This paper considers a bi-level hazmat transportation network design problem in which hazmat shipments have to be transported over a road network between specified origin-destination points. The bi-level framework involves a regulatory authority and hazmat carriers. The control variables for the regulatory authority are locations of hazmat response teams and which additional links to include for hazmat travel. The regulatory authority (upper level) aims to minimize the maximum transport risk incurred by a transportation zone, which is related to risk equity. Our measure of risk incorporates the average response time to the hazmat incidents. Hazmat carriers (lower level) seek to minimize their travel cost. Using optimality conditions, we reformulate the non-linear bi-level model as a single-level mixed integer linear program, which is computationally tractable for medium size problems using a commercial solver. For large size problems, we propose a greedy heuristic approach, which we empirically demonstrate to find good solutions with reasonable computational effort. We also seek a robust solution to capture stochastic characteristics of the model. Experimental results are based on popular test networks from the Sioux Falls and Albany areas.
Was this content written or created while at USF?
Yes
Citation / Publisher Attribution
Computers & Operations Research, v. 79, p. 119-130
Scholar Commons Citation
Taslimi, Masoumeh; Batta, Rajan; and Kwon, Changhyun, "A Comprehensive Modeling Framework for Hazmat Network Design, Hazmat Response Team Location, and Equity of Risk" (2017). Industrial and Management Systems Engineering Faculty Publications. 12.
https://digitalcommons.usf.edu/egs_facpub/12