Meta-Analytical Insights into Transportation Hub Planning: Managing Uncertainty with Fuzzy Best-Worst Method
DOI:
https://doi.org/10.31181/jidmgc21202640Keywords:
Fuzzy Best Worst Method, BWM, Multi-criteria decision making, MCDM, Transportation hubs, Location selection, Sustainable urban mobilityAbstract
Transportation hubs are important parts of urban and regional mobility systems because their locations directly affect how people reach and use transport networks. Since these infrastructures can work as central points within a city or even at the national level, their location selection should not be evaluated only with traditional cost-based criteria. It should also consider resilience and long-term service performance. This study reviews the existing literature to examine whether the fuzzy Best-Worst Method (BWM) has been used for transportation hub location selection. For this purpose, a metasearch was conducted in Web of Science by combining BWM with transportation hub and related terms. The reviewed literature shows that transportation hubs have been studied from different perspectives, including network design, accessibility, internal design, safety, resilience, and multi-criteria decision-making. However, the direct use of fuzzy BWM for transportation hub location selection seems to be limited. Since hub location assessment includes several uncertain and partly qualitative dimensions, fuzzy BWM can be a useful method under uncertainty.
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