Affiliation:
1. Kadir Has Üniversitesi
2. BARTIN ÜNİVERSİTESİ
Abstract
Measuring the performances of the urban transport systems is a critical issue in improving and developing the existing transport systems. In the meantime, making performance analysis for the public transport system is not easy for practitioners and decision-makers, as there are many conflicting criteria and very complicated situations in the evaluation process. In addition, there are no commonly accepted criteria set in the existing literature to assess the public transport systems. Hence, this situation makes it difficult to evaluate and analyze processes much more. The proposed model based on the integration of the Best and Worst Method (BWM) and Combined Compromise Solution (CoCoSo) techniques. While the criteria weights are identified by highlighting the worst and the best criterion with the BWM, decision alternatives are ranked with the CoCoSo technique. This model was implemented to evaluated urban rail systems performances of 30 European cities having metro rail systems. At the end of the study, it has been determined that the first ranked city having highest performance is Saint Petersburg. Besides, as a result of the sensitivity analysis, the proposed model provides reliable and consistent results and it has been observed that it can provide a proper decision support for these kinds of evaluation processes.
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