@article{ref1,
title="Analysis of evacuation destination and departure time choices for no-notice emergency events",
journal="Transportmetrica A: transport science",
year="2019",
author="Golshani, Nima and Shabanpour, Ramin and Mohammadian, Abolfazl (Kouros) and Auld, Joshua and Ley, Hubert",
volume="15",
number="2",
pages="896-914",
abstract="Over the past decades, both the frequency and severity of disastrous events have increased all over the world. Thus far, many studies have focused on people's evacuation behaviour during advance-notice events. However, little is known about their behaviour during no-notice events mainly because of the scarcity of available data. In an effort to address such a gap, this study presents a joint model to estimate evacuee's destination and departure time choices in the context of no-notice emergency events. These two critical decisions can directly influence spatial and temporal traffic distributions in the network in case of disastrous events. A copula-based joint structure is proposed to explore the interdependencies between these evacuation attributes that stem from the shared factors influencing them and/or the causal effects that they might have on each other.<p /> <p>Language: en</p>",
language="en",
issn="2324-9935",
doi="10.1080/23249935.2018.1546778",
url="http://dx.doi.org/10.1080/23249935.2018.1546778"
}