| Issue |
RAIRO-Oper. Res.
Volume 52, Number 3, July–September 2018
|
|
|---|---|---|
| Page(s) | 779 - 805 | |
| DOI | https://doi.org/10.1051/ro/2017046 | |
| Published online | 19 September 2018 | |
A stochastic programming approach for Shelter location and evacuation planning
1
Department of Industrial Engineering, TED University,
Ankara, Turkey
2
Department of Industrial Engineering, Bilkent University,
Ankara, Turkey
* Corresponding author: hyaman@bilkent.edu.tr
Received:
20
May
2017
Accepted:
25
May
2018
Shelter location and traffic allocation decisions are critical for an efficient evacuation plan. In this study, we propose a scenario-based two-stage stochastic evacuation planning model that optimally locates shelter sites and that assigns evacuees to nearest shelters and to shortest paths within a tolerance degree to minimize the expected total evacuation time. Our model considers the uncertainty in the evacuation demand and the disruption in the road network and shelter sites. We present a case study for a potential earthquake in Istanbul. We compare the performance of the stochastic programming solutions to solutions based on single scenarios and mean values.
Mathematics Subject Classification: 90C11 / 90C15 / 90B06
Key words: Disaster management / evacuation traffic management / shelter location / constrained system optimal / two-stage stochastic programming / second order cone programming
© EDP Sciences, ROADEF, SMAI 2018
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