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Evacuation planning is an important activity in disaster management. Due to the sudden occurrence of disasters, evacuation should be preplanned. It is necessary for evacuation plan to be as close as possible to a real evacuation operation. However, evacuation planning is challenging because of inherent uncertainty in required information. One important source of uncertainty in evacuation is the uncertainty in evacuation demands. This paper presents an evacuation vehicle routing problem to design evacuation routes for public vehicles. In this problem, demand (number of evacuees) at each pick-up point is introduced as a fuzzy number and the assignment of the pick-up points to the vehicle routes happens based on a credibility preference index. A genetic algorithm based on fuzzy credibility theory is designed to optimize the problem. The optimum parameter set for genetic algorithm is obtained by Taguchi experimental design. The presented problem and algorithm are applied on a part of Tehran transportation network. The impact of credibility preference index on the achieved solutions is evaluated and its best value is determined for the case study. Moreover, different tests are implemented to analyze and discuss the influence of uncertainty level on the final results.

This study proposes an earthquake evacuation routing plan from local shelters to regional ones for a long-term safe settlement using public vehicles. In a post-earthquake situation, the unpredicted changes in travel demand patterns and accessibility conditions of the transportation network affect the travel time. The contribution of this study is to propose a dynamic evacuation routing approach that can update the routing plan by incorporating time-dependent travel times. The problem is modeled as a vehicle routing problem and a two-stage solution procedure based on the simulated annealing algorithm is developed. The model is applied in part of Tehran’s transportation network. The results confirm that the dynamic evacuation routing approach is able to increase the number of evacuated shelters and decrease both the evacuation time and total travel time of the vehicles. The findings in this study indicate that the application of the proposed model can provide beneficial information for disaster mana...