Evaluation of climate change-resilient transportation alternatives using fuzzy Hamacher aggregation operators based group decision-making model

Abstract

Climate change has become one of the most significant threats that all countries face. The extent of the effects of climate change will increase if the pace is not altered. Transportation systems are very important considering the order and organization of cities. Therefore, transportation networks must be resilient to the effects of climate change. In this study, three different alternatives to climate change resilient transportation networks, which are climate change resistant design of transportation facilities, alternative routes and strategies for the transportation systems, and climate preparedness are defined. In this study, these alternatives are assessed and prioritized under twelve sub-criteria using the decision-making model. By combining the interval-valued Fermatean fuzzy Hamacher aggregation operators with three decision-making methods including the MEREC (Method using the removal effects of criteria), RS (Rank sum), and the MULTIMOORA (Multi-attribute multi-objective optimization based on the ratio analysis), we develop a novel hybrid model for handling decision-making problems. The practicability and effectiveness of the presented model are tested with a case study. The results of the study show that operationally preparing for the effects of climate change is the best choice out of the ones that were given.