Measuring the Service Quality of Urban Rail Transit Based on Interval-Valued Intuitionistic Fuzzy Model.

The service quality is a key driving factor of passengers' intention of reusing the urban rail transit. Developing and using multi-criteria evaluation models to prioritize rail transit service quality is important for promoting sustainable development of urban rail transit. This paper involves a multi-attribute group decision making model which aims to assess the service quality for the urban rail transit, the assessment is mainly build on the interval-valued intuitionistic fuzzy value. We also establish the model to identify and confirm the optimal weights of attribute with the principle of maximum entropy. Taking Tianjin urban rail transit, which contains six lines, as an example, a comprehensive analysis for the service quality of the urban rail transit lines were conducted. The research shows that the line M3 owns the highest level of service quality, while the lowest service quality level is line M9. Meanwhile, the result shows that the process of decision making is not comparatively sensitive with the weight of passengers. The results can promote the operator of urban rail transit to identify their advantages and disadvantages in specific areas of passenger service and the improvement of service quality in the future. [ABSTRACT FROM AUTHOR]