@article{ref1,
title="Pre-positioning and real-time disaster response operations: optimization with mobile phone location data",
journal="Transportation research part E: logistics and transportation review",
year="2021",
author="Wang, Jing and Cai, Jianping and Yue, Xiaohang and Suresh, Nallan C.",
volume="150",
number="",
pages="e102344-e102344",
abstract="Uncertainty of disaster information severely hinders efficiency of disaster relief operations. This paper explores how mobile phone location data are applied to capture rapidly accurate disaster information and proposes a preparedness-response two-stage scenario-based stochastic programming model with mobile phone location data for integrated pre-positioning and real-time response operation optimization. The Dantzig-Wolfe decomposition approach based on Lagrange duality and branch-and-bound algorithm are adopted to solve this model. The applicability of the model is proved via a real-world case study on the Haiti earthquake. Numerical experiments are performed to offer important managerial implications and insights in disaster management, especially for large-scale disasters.<p /> <p>Language: en</p>",
language="en",
issn="1366-5545",
doi="10.1016/j.tre.2021.102344",
url="http://dx.doi.org/10.1016/j.tre.2021.102344"
}