@article{ref1,
title="Hazardous materials facility siting optimization and ranking: a transportation risk mitigation framework",
journal="PLoS one",
year="2023",
author="Khan, Musharraf Ahmad and Mehran, Babak",
volume="18",
number="11",
pages="e0290723-e0290723",
abstract="Hazardous material transportation problems have widely been studied in the past especially in the context of routing, scheduling, and network design problems. Yet, the combined hazardous material facility location-routing problem has not been studied adequately. We emphasize that locating a hazardous material facility is a rich process, and a good site can mitigate the potential transportation risk beforehand. A methodological framework is proposed which allows evaluation and ranking of potential sites based on hierarchical relationship utilities. The proposed method attempts to improve the risk functions and applies a stochastic analysis to measure the risk, which relaxes some assumptions in deterministic analysis, and is more realistic while avoiding overestimation of the risk. The study covers multi-objective optimization considering the decision-makers' preferences on network segments and risk to the population and water bodies. Potential hazardous material facility sites' rank is determined by the probability of optimality and one-to-one relationship utilities with the points of interests. <br><br>RESULTS show that the proposed stochastic analysis offers more flexibility to select and rank the potential sites.<p /> <p>Language: en</p>",
language="en",
issn="1932-6203",
doi="10.1371/journal.pone.0290723",
url="http://dx.doi.org/10.1371/journal.pone.0290723"
}