TY  - JOUR
PY  - 2019//
TI  - Analysis of evacuation destination and departure time choices for no-notice emergency events
JO  - Transportmetrica A: transport science
A1  - Golshani, Nima
A1  - Shabanpour, Ramin
A1  - Mohammadian, Abolfazl (Kouros)
A1  - Auld, Joshua
A1  - Ley, Hubert
SP  - 896
EP  - 914
VL  - 15
IS  - 2
N2  - 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>
LA  - en
SN  - 2324-9935
UR  - http://dx.doi.org/10.1080/23249935.2018.1546778
ID  - ref1
ER  -