BWM ve CoCoSo Yöntemleri Kullanılarak Kentlerin Raylı Sistem Performanslarının Karşılaştırmalı Analizi.

Measuring the performance of the urban transport system is critical in improving and developing the current urban transport systems. The current paper proposes a hybrid decisionmaking model to evaluate the urban rail transport systems. The suggested model is based on integrating the Best and Worst Method (BWM) and the Combined Compromise Solution (CoCoSo) techniques. The criteria weights are identified by considering the best and worst preferences of the decision-makers with the help of the BWM approach, and the CoCoSo technique helps to rank the alternatives concerning their performances. The proposed model was implemented to evaluate urban rail systems performances of 30 European cities with metro rail systems concerning thirteen criteria identified from the technical, environmental, and economic perspectives. At the end of the study, it was determined that the first ranked city had the highest performance, 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 proper decision support for these kinds of evaluation processes. [ABSTRACT FROM AUTHOR]