Have a personal or library account? Click to login
Sustainable Development Model and Performance Assessment of Urban Metro Transit Infrastructure: A Post-Covid Case Study of the Magenta Line Cover

Sustainable Development Model and Performance Assessment of Urban Metro Transit Infrastructure: A Post-Covid Case Study of the Magenta Line

Open Access
|Apr 2025

References

  1. Bhandari, K., Advani, M., Parida, P., & Gangopadhyay, S. (2014) Consideration of access and egress trips in carbon footprint estimation of public transport trips: case study of Delhi. Journal of Cleaner Production, 85, 234-240. https://doi.org/10.1016/j.jclepro.2014.05.013.
  2. Bharadwaj, Y.P. and Singh, M. (2020) The effect of service quality on commuters’ satisfaction towards the adoption of metro services: A case study of Delhi Metro rail corporation. International Journal on Emerging Technologies, 11(2), 237-244.
  3. Bhatt, D., Chandra, M. (2022) GIS and gravity model based accessibility measure for Delhi Metro. Iranian Journal of Science and Technology, Transactions of Civil Engineering, 46, 3411-3428. https://doi.org/10.1007/s40996-021-00795-5.
  4. Buran, B., & Erçek, M. (2022) Public transportation business model evaluation with spherical and intuitionistic fuzzy AHP and sensitivity analysis. Expert Systems with Applications, 204, 117519. https://doi.org/10.1016/j.eswa.2022.117519.
  5. DMRC. (2022) Delhi Metro Magenta Line route map. Available: https://www.delhimetrotimes.in/delhi/maps/delhi-metro-magenta-line.html.
  6. Eboli, L. and Mazzulla, G. (2012) Performance indicators for an objective measure of public transport service quality. European Transport \ Trasporti Europei. 51, 4-4.
  7. Financial Express. (2017) Delhi Metro fare hike chart: DMRC raises ticket prices, take a look at full list of revised fare. Available: https://www.financialexpress.com/india-news/delhi-metro-fare-hike-chart-dmrc-raises-ticket-prices-take-a-look-at-full-list-of-revised-fare/888315/.
  8. Gallo, M., De Luca, G., D’Acierno, L., & Botte, M. (2019) Artificial neural networks for forecasting passenger flows on metro lines. Sensors, 19(15), 3424. https://doi.org/10.3390/s19153424.
  9. Gandhiok, J. (2022) Ridership yet to hit pre-pandemic levels: Metro data. Available: https://www.hindustantimes.com/cities/delhi-news/ridership-yet-to-hit-pre-pandemic-levels-metro-data-101650843276426.html.
  10. Ghosh, T., Kanitkar, T., & Srikanth, R. (2022) Way forward to provide affordable, accessible, and sustainable transport for megacities. Social Science Research Network, RELX Group, 12-23. https://doi.org/10.2139/ssrn.4211070.
  11. Goel, R., Tiwari, G. (2016) Access-egress and other travel characteristics of metro users in Delhi and its satellite cities. IATSS Research, 39(2), 164-172. https://doi.org/10.1016/j.iatssr.2015.10.001.
  12. Hounsell, M. (2023) Introduction to the review for research to develop collaborative multi-modal customer-centric key performance indicators for transport. doi:10.13140/rg.2.2.35054.59203.
  13. India Today. (2018) Delhi Metro daily ridership 32 per cent less than projected in 2018: CSE. Available: https://www.indiatoday.in/india/story/delhi-metro-daily-ridership-32-per-cent-less-than-projected-in-2018-cse-1332172-2018-09-05 .
  14. Kanuri, C., Venkat, K., Maiti, S., & Mulukutla, P. (2019). Leveraging innovation for last-mile connectivity to mass transit. Transportation Research Procedia, 41, 655–669. https://doi.org/10.1016/j.trpro.2019.09.114.
  15. Keijer, M.J.N., Rietveld, P. (2004) How do people get to the railway station? The Dutch experience. Journal of Transport Planning and Technology, 11(3), 265-275. doi:10.1080/03081060008717650.
  16. Khursheed, S. and Kidwai, F. A. (2022) Post COVID-19 access egress attributes for urban metro transit users in Delhi. Journal of Applied Engineering Sciences, 12(1), 53–60. doi: https://doi.org/10.2478/jaes-2022-0009.
  17. Khursheed, S. and Kidwai, F. A. (2022) Post-COVID-19 Performance evaluation of urban metro transit system in Delhi and influence on access mode. Case Studies on Transport Policy, 10(3), 1862–1871. https://doi.org/10.1016/j.cstp.2022.07.015.
  18. Khursheed, S., Kidwai F. A. (2022) Evaluation of users approbation indicators of Delhi Metro. In: Proceedings of the 8th Online International Conference on Transportation Systems Engineering and Management (CTSEM 2021), Kozhikode, August 2021. Singapore: Springer. https://doi.org/10.1007/978-981-19-2273-2_24.
  19. Khursheed, S., Kidwai, F. A. (2023) Level of service based performance model of Blue Line of Delhi Metro post-COVID-19. In: Proceedings of the 15th International Conference of Eastern Asia Society for Transportation Studies (EASTS), Shah Alam, September 2023. Available: https://easts.info/online/proceedings/vol.14/pdf/PP3322.pdf.
  20. Khursheed, S., Kidwai, F.A. (2021) Post COVID performance evaluation of Delhi Metro. In: Proceedings of the 2nd International Conference on Futuristic and Sustainable Aspects in Engineering and Technology (FSAET-21), Mathura, December 2021. Mathura: AIP Publishing. https://doi.org/10.1063/5.0154102.
  21. Khursheed, S., Yasmin, S. (2024) A study of Delhi Metro’s Magenta Line to assess commuter satisfaction post Covid-19. International Scientific Journal of Transport Technic and Technology, 20(1), 1–10. doi:10.2478/ttt-2024-0001.
  22. Khursheed, S., Yasmin, S., Kidwai, F. A. (2024) The urban metro transit’s performance evaluation using Super-DEA. Scientific Journal of Silesian University of Technology. Series Transport, 125, 123-143. doi: https://doi.org/10.20858/sjsutst.2024.125.9.
  23. Kumar, P.P., Parida, M., Ravi Sekhar, P. (2021) Exploring travel behavior of passengers towards loyalty to Delhi Metro rail transit. Proceedings of the Eastern Asia Society for Transportation Studies, 13.
  24. Kurniawati, Y.R., Sumabrata, J. And Christin, G.N. (2023) Analysis of the variables affecting KRL commuter line passengers’ choices on the feeder modes to and from Bogor Station. International Journal of Engineering Advanced Research, 5(2), 1-10. Available: https://myjms.mohe.gov.my/index.php/ijear/article/view/22611.
  25. Lake, M., & Ferreira, L. (2002) Towards a methodology to evaluate public transport projects. Brisbane: Infrastructure Centre, School of Civil Engineering, Queensland University of Technology (Research Report 02-03).
  26. Liu, S. and Zhu, X. (2004) An integrated GIS approach to accessibility analysis. Transactions in GIS, 8(1), 45-62. doi:10.1111/j.1467-9671.2004.00167.x.
  27. Loutzenheiser, D.R. (1997) Pedestrian access to transit: Model of walk trips and their design and urban form determinants around Bay Area rapid transit stations. Transportation Research Record, 1604, 40-49. doi:10.3141/1604-06.
  28. Mathur, A. (2023) Yet to fully recover from the pandemic blow, Delhi Metro is in red for the second year. Available: https://timesofindia.indiatimes.com/city/delhi/yet-to-fully-recover-from-pandemic-blow-metro-in-red-for-secondyear/articleshow/97502612.cms.
  29. Mittal, T. (2023) New Delhi Metro must keep up as capital becomes worlds largest city by 2028. Available: https://theprint.in/india/new-delhi-metro-must-keep-up-as-capital-becomes-worlds-largest-city-by-2028/1681173/.
  30. Nandal, M., Mor, N., & Sood, H. (2020) An overview of use of artificial neural network in sustainable transport system. Advances in Intelligent Systems and Computing, 83–91. https://doi.org/10.1007/978-981-15-6876-3_7.
  31. Naser, I. H., Mahdi, A. M., & Jasim, Y. H. (2020) Performance of artificial neural networks (ANN) at transportation planning model. IOP Conference Series, 022-032. https://doi.org/10.1088/1757-899x/928/2/022032.
  32. Nurhadi, L., Borén, S., & Ny, H. (2014). A sensitivity analysis of total cost of ownership for electric public bus transport systems in Swedish medium-sized cities. Transportation Research Procedia, 818-827. https://doi.org/10.1016/j.trpro.2014.10.058.
  33. O’Sullivan, S., Morrall, J. (1996) Walking distances to and from light-rail transit stations. Transportation Research Record, 1538(1), 19-26. https://doi.org/10.1177/0361198196153800103.
  34. Paulley, N., Balcombe, R. J., Mackett, R., Titheridge, H., Preston, J., Wardman, M., Shires, J., & White, P. (2006) The demand for public transport: The effects of fares, quality of service, income and car ownership. Transport Policy, 13(4), 295-306. https://doi.org/10.1016/j.tranpol.2005.12.004.
  35. Qu, L., & Chen, Y. (2008). A hybrid MCDM method for route selection of multimodal transportation network. Lecture Notes in Computer Science, 374–383. https://doi.org/10.1007/978-3-540-87732-5_42.
  36. Saraswat, I., & Girish, K. (2020) The Delhi Metro: A rail of issues. Available: https://www.researchgate.net/publication/346646804_The_Delhi_Metro_A_rail_of_issues.
  37. Stopher, P.R., Spear, B.D., Sucher, P.O. (1974) Towards the development of measures of convenience for travel modes. Transportation research record, 527, 16-32.
  38. Tiwari, G. (2013) Metro rail and the city: Derailing public transport. Economic and Political Weekly, 48(48), 65–76. Available: http://www.jstor.org/stable/23528925.
  39. Widyaningsih, N., Mohtar, W.H., Yussof, N.I. and Putri, M.D. (2022) Impact of large-scale social restrictions on transportation modes. International Journal on Technical and Physical Problems of Engineering, 14(51), 216-221. Available: https://www.iotpe.com/IJTPE/IJTPE-2022/IJTPE-Issue51-Vol14-No2-Jun2022/25-IJTPE-Issue51-Vol14-No2-Jun2022-pp216-221.pdf.
DOI: https://doi.org/10.2478/ttj-2025-0012 | Journal eISSN: 1407-6179 | Journal ISSN: 1407-6160
Language: English
Page range: 149 - 159
Published on: Apr 17, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Salman Khursheed, Virendra Kumar Paul, Farhan Ahmad Kidwai, published by Transport and Telecommunication Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.