A STOCHASTIC PROGRAMMING APPROACH FOR SHELTER LOCATION AND EVACUATION PLANNING

Creative Commons License

Bayram V., Yaman H.

RAIRO-OPERATIONS RESEARCH, cilt.52, sa.3, ss.779-805, 2018 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 52 Sayı: 3
  • Basım Tarihi: 2018
  • Doi Numarası: 10.1051/ro/2017046
  • Dergi Adı: RAIRO-OPERATIONS RESEARCH
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus
  • Sayfa Sayıları: ss.779-805
  • Anahtar Kelimeler: Disaster management, evacuation traffic management, shelter location, constrained system optimal, two-stage stochastic programming, second order cone programming, FACILITY LOCATION, MULTIOBJECTIVE APPROACH, ROUTING PROBLEM, EMERGENCY, NETWORK, MODEL, DESIGN, RELIABILITY, FORMULATION, ALGORITHM
  • TED Üniversitesi Adresli: Evet

Özet

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.