Article ID: | iaor20123512 |
Volume: | 48 |
Issue: | 4 |
Start Page Number: | 715 |
End Page Number: | 729 |
Publication Date: | Jul 2012 |
Journal: | Transportation Research Part E |
Authors: | Xu Ningxiong, Nozick Linda, Li Anna C Y, Davidson Rachel |
Keywords: | location, combinatorial optimization |
This paper develops a scenario‐based bilevel programming model to optimize the selection of shelter locations with explicit consideration of a range of possible hurricane events and the evacuation needs under each of those events. A realistic case study for the state of North Carolina is presented. Through the case study, we demonstrate (i) the criticality of considering multiple hurricane scenarios in the location of shelters, and; (ii) the importance of considering the transportation demands of all evacuees when selecting locations for public shelters.