contributor author | Arif Mohaimin Sadri | |
contributor author | Satish V. Ukkusuri | |
contributor author | Pamela Murray-Tuite | |
contributor author | Hugh Gladwin | |
date accessioned | 2017-05-08T22:02:36Z | |
date available | 2017-05-08T22:02:36Z | |
date copyright | January 2014 | |
date issued | 2014 | |
identifier other | %28asce%29up%2E1943-5444%2E0000024.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/69643 | |
description abstract | This paper explains a modeling approach that offers better understanding of the routing strategies taken by evacuees to reach a safe destination during hurricane evacuation. Route choice during evacuation is a complex process because evacuees may prefer to take the usual or familiar route on the way to the destination, or they might follow the routes recommended by the emergency officials. Depending on the condition of the traffic stream, sometimes they might switch to a different route to obtain better travel time from the one initially attempted, i.e., the routing behavior is random. By using data from Hurricane Ivan, a mixed (random parameters) logit model is estimated which captures the decision making process on what type of route to select while accounting for the existence of unobserved heterogeneity across households. Estimation findings indicate that the choices of evacuation routing strategy involve a complex interaction of variables related to household location, evacuation characteristics, and socioeconomic characteristics. The findings of this study are useful to determine the manner in which different factions of people select a type of route for a given sociodemographic profile during an evacuation. | |
publisher | American Society of Civil Engineers | |
title | How to Evacuate: Model for Understanding the Routing Strategies during Hurricane Evacuation | |
type | Journal Paper | |
journal volume | 140 | |
journal issue | 1 | |
journal title | Journal of Transportation Engineering, Part A: Systems | |
identifier doi | 10.1061/(ASCE)TE.1943-5436.0000613 | |
tree | Journal of Transportation Engineering, Part A: Systems:;2014:;Volume ( 140 ):;issue: 001 | |
contenttype | Fulltext | |