Akademik Məlumat İdarəetmə Sistemi
Engineering Applications of Artificial Intelligence, vol.137, 2024 (SCI-Expanded, Scopus)
Transport systems are pivotal in sustainable development, profoundly impacting social, environmental, and economic sustainability in urban settings. Integrating decision support systems becomes imperative to underscore the necessity for change and facilitate informed policy decisions based on current conditions. This study evaluates Budapest, Hungary's urban public transport system to foster sustainability. Experts in the transportation field in Budapest were engaged as evaluators. The study employs the newly developed Magnitude Based Fuzzy Analytic Hierarchy Process, chosen for its accuracy and computational efficiency compared to existing methods. The obtained results align with those from the Modified Fuzzy Logarithmic Least Squares method, affirming its reliability. Final weights are aggregated using the geometric mean technique in fuzzy multi-criteria decision-making scenarios. Comparative and sensitivity analyses validate, ensure consistency, and test the robustness of the proposed model findings. The study concludes that introducing new buses emerges as the most viable solution for enhancing the service quality of the existing transport system. The adopted results on a real dataset, its application in transportation evaluation, and the recommendation of new buses as an optimal solution offer insights into sustainable urban transport development.