@article{ref1,
title="Evacuation planning for disaster responses: a stochastic programming framework",
journal="Transportation research part C: emerging technologies",
year="2016",
author="Wang, Li and Yang, Lixing and Gao, Ziyou and Li, Shukai and Zhou, Xuesong",
volume="69",
number="",
pages="150-172",
abstract="Some disasters such as earthquakes, floods and hurricanes may result in evacuation for people in an affected area. This paper focuses on finding the a priori evacuation plans by considering side constraints and scenario-based stochastic link travel times and capacities. Hence a stochastic programming framework is developed so as to provide a reorganization of the traffic routing for a disaster response. Considering the different preferences of decision-makers, three evaluation criteria are introduced to formulate the objective function. Crisp linear equivalents for different evacuation strategies are further deduced to simplify solution methodologies. A heuristic algorithm combining the Lagrangian relaxation-based approach with K-shortest path techniques is designed to solve the expected disutility model. The experimental results indicate that the algorithm can solve large-scale instances for the problem of interest efficiently and effectively.<p /> <p>Language: en</p>",
language="en",
issn="0968-090X",
doi="10.1016/j.trc.2016.05.022",
url="http://dx.doi.org/10.1016/j.trc.2016.05.022"
}