THE URBAN METRO TRANSIT’S PERFORMANCE EVALUATION USING SUPER-DEA

Urban metro transit systems are essential for socio-economic growth and to the achievement of sustainable urban development. To continuously raise the caliber of services, infrastructure performance must be monitored and evaluated on a regular basis. The effectiveness and efficiency of Delhi's urban public transit system, i.e., Delhi Metro is investigated using Data Envelopment Analysis (DEA) and Super-DEA approaches. DEA is a non-parametric technique used in the estimation of production functions and has been used extensively to estimate measures of technical efficiency. Super-DEA is a linear optimization technique that calculates the relative efficacy of its decision-making units (DMUs) for a wide range of inputs and outputs. The Delhi Metro's "BLUE" line is studied in the present research considering various demographics factors. The relative rankings of the DMUs were assessed taking into account super-DEA after 630 valid responses to commuter-based questionnaires about demographic, travel time components and quality perception parameters were gathered. Each station along the BLUE line is treated as a DMU when analyzing efficiency. Results revealed efficiency, relative rankings and scores for which improvement strategies are suggested.