Comparative Appraisal of Metro Stations in Delhi Using Data Envelopment Analysis in a Multimodal Context
mode - subway/metro, place - asia, place - urban, planning - service improvement, planning - service quality, planning - surveys, ridership - perceptions
Data Envelopment Analysis, Decision Making Units, DMU, slack values, projected values, multimodal transit, efficiency evaluation
Urban public transit is a critical component for sustainable urban development and is crucial to multisector expansion of a developing economy. Continuous monitoring of infrastructure performance and assessment of its effectiveness are required to continually improve service quality. The urban agglomeration of Delhi, India, was studied for the efficacy of its multimodal urban public transit system. The toolkit used was Data Envelopment Analysis (DEA), a linear optimization technique that estimates relative efficiencies of its decision making units (DMUs) for a multitude of inputs and outputs. The study area includes the Red and Yellow lines of the Delhi Metro network. Commuter-based questionnaires were used to collect 1,328 valid responses about demographic, travel time, and quality perception parameters, which were analyzed, and relative rankings of the DMUs were evaluated. The efficiency was analyzed according to the Red and Yellow lines divided into seven corridor segments and individual stations. Results revealed efficiency scores and inefficiency slacks for which improvement strategies are proposed.
Permission to publish the abstract has been given by National Center for Transit Research, University of South Florida, copyright remains with them.
Swami, M., & Parida, M. (2015). Comparative Appraisal of Metro Stations in Delhi Using Data Envelopment Analysis in a Multimodal Context. Journal of Public Transportation, 18, (3), pp. 29-51.