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The urban metro transit’s performance evaluation using Super-DEA

Khursheed Salman, Yasmin Shagufta, Kidwai Farhan Ahmad

Zeszyty Naukowe. Transport / Politechnika Śląska

2024

z. 125

123--143

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.

Diagnostic evaluation of urban metro transit system post-covid-19

Khursheed Salman, Yasmin Shagufta

Zeszyty Naukowe. Transport / Politechnika Śląska

2024

z. 124

77--91

Public transportation usage in Delhi has declined, with the Delhi Metro having a significant share. However, due to fare hikes and COVID-19 restrictions, the DM's share has been decreasing further. To improve ridership, a study is being conducted to evaluate the DM's performance and identify areas for improvement in passenger convenience and comfort. The Magenta line is investigated through an on-board survey to collect primary data. The survey covers commuter perceptions of safety & security, financial & economic factors, infrastructure & comfort and functional & operational features. The Relative Importance Index approach is used to analyse the data and evaluate DM performance. An ANN model is also presented to determine the factors influencing the choice to travel on the DM, with the “metro fare per trip” factor being a key consideration. Based on the analysis results, recommendations are made to improve the DM's performance. The study found that safety and security had the highest RII, followed by efficiency and viability, functional and operational features, infrastructure and comfort, and financial and economic factors. The subway fare had the lowest RII. The ANN model is adapted to understand the reasons behind low metro ridership.