Identification of key performance indicators using hybrid COPRAS-TOPSIS for urban public transit systems by evaluating with AHP and FAHP

Development of urban transport facilities via analysing indicators has become one of the new domains explored worldwide, as cities are growing with no control. The present state of sustainability testing practices feels that technical analysis is rather very complex collaboratively and comprehensively met with local statements. As a result, developing indicators assessment techniques has become inevitable to deal with these challenges. In this study, a comprehensive transport assessment index such as trustworthiness, Amenity, Receptivity, Assurance and Affinity for the cities through passenger response can be useful for the researchers in the city. A set of 5 indicators has been formulated among 500 respondents that might influence and shape urban public transport performance. For finding the Key Performance Indicator (KPI) of the Urban transport system, the hybrid Complex Proportional Assessment (COPRAS)—Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is applied to measure the quantitative weight to analyze the complex process of perceived service quality. This model is validated by different Multi-Criteria Decision Making (MCDM) such as Analytic Hierarchy Process (AHP) and Fuzzy-AHP by comparing performance measures for randomly selected elements, which is new to mixed traffic flow conditions. The performance obtained such as computational complexity and agility in decision making by the hybrid COPRAS-TOPSIS are 132 and 1245. Hence, the proposed approach was more accurate than conventional ones, thus used to support decision-makers for long-term designing and planning of transport networks based on priority. Based on these factors, the present study successfully develops and applies KPI analysis prediction of the general transport approach in the background of India.