@article{ref1,
title="Comparison of time-dependent sequential logit and nested logit for modeling hurricane evacuation demand",
journal="Transportation research record",
year="2012",
author="Gudishala, Ravindra and Wilmot, Chester",
volume="2312",
number="",
pages="134-140",
abstract="Models that predict hurricane evacuation demand can play a crucial role in developing and evaluating alternative evacuation policies and plans. However, to evaluate alternative policies effectively, evacuation demand models should be sensitive to time varying characteristics of a storm and the contextual conditions surrounding an evacuee. The time-dependent sequential logit is one such model, but it makes use of restrictive assumptions about the dynamic choices made by evacuees. A new model, a time-dependent nested logit model, relaxes those assumptions. It was formulated and derived in this study, and its performance was then compared with that of the time-dependent sequential logit model by applying both models to data from Hurricane Gustav. The results indicated that the time-dependent nested logit model has better predictive capability than the time-dependent sequential logit model.<p />",
language="en",
issn="0361-1981",
doi="10.3141/2312-14",
url="http://dx.doi.org/10.3141/2312-14"
}