Novel Application of Pythagorean Fuzzy MCDM in Prioritizing Transportation Alternatives: Insights from Ankara for the Ministry of Transportation

Abstract

This study underscores the importance of prioritizing transportation modes in Ankara, particularly given the pivotal role transportation holds in contemporary urban societies. Transportation directly shapes the socio-economic framework of metropolitan areas. To address the complexities of transportation in Ankara, the study introduces a hybrid approach by integrating the Fuzzy CRITIC (Criteria Importance Through Inter-Criteria Correlation) method with the novel Pythagorean Fuzzy Weighted Sum Method. This novel approach assesses the various transportation modes available in Ankara, taking into account pivotal criteria such as cost, duration, reliability, comfort, and flexibility. The hybridized methodology offers a systematic way to determine the weights of each criterion. Then, leveraging these weights, the performance of each transportation mode is calculated and ranked. This integrated approach proves to be a powerful analytical tool for addressing multicriteria decision-making challenges, especially when confronted with uncertainty and intricate details. The outcomes of this research aim to serve as a cornerstone for the Ankara Ministry of Transportation and other key stakeholders. The insights derived can be pivotal for enhancing the existing transportation infrastructure or for the initiation of new, more efficient projects. This study highlights the effectiveness of hybrid decision-making methods for urban transportation, setting a benchmark for similar challenges. It presents a strategic, analytical approach to streamline Ankara's transportation, addressing its complex urban transport needs.