Skip to main content
SpringerLink
Log in

Evaluation of Users Approbation Indicators of Delhi Metro

  • Conference paper
  • First Online:
Recent Advances in Transportation Systems Engineering and Management

Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 261))

  • 339 Accesses

Abstract

It is important to understand user’s approbation indicators for the performance evaluation necessary for the successful operation and sustenance of the public transport system. BLUE line of Delhi Metro has been examined to identify and evaluate the user’s approbation indicators. An on-board survey of metro commuters is conducted in December 2020. Some of the approbation indicators included in this paper are choice and captive ridership, access modes, access-egress time, main haul distance and time, interchange stations, metro fare, and comfort factors. The analysis of the data reveals that 57.9% of users are under 30 years and users above the age of 50 years do not prefer metro as primary PT mode. About 43.96% of the users are daily metro riders, whereas the 56.04% has different frequency of metro travel. The metro has 46.5% users as captive riders and remaining 53.5% owns at least one personal vehicle. It is noted that 50.8% of the users do not need parking facility and remaining 49.2% users have different opinions on the availability and affordability of parking facility. About 58.5% of user’s report limited to insufficient seating capacity in coach and concourse. Significant users are satisfied with information, signages, and security system provided by Delhi metro. It is revealed that 90% trips have interconnectivity ratio between 0.082 and 0.424 for all access-metro-egress mode combinations. It is also observed that average main haul distance of users is (19.69 ± 11.19) km. To understand the user’s approbation indicators and their inter-relationship, decision tree model is analysed and findings are presented.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 299.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 379.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 379.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Singh B, Kumar D (2014) Customer satisfaction analysis on services of Delhi metro 1(5):124–131

    Google Scholar 

  2. Elangovan K, Kumar CB, Nallusamy S (2018) Study on effect of Chennai Metro Rail Limited routing system and its future growth. Int J Mech Prod Eng Res Dev 8(1):1079–1086. https://doi.org/10.24247/ijmperdfeb2018128

    Article  Google Scholar 

  3. DMRC (2016) DMRC sustainability report. Pap Knowl Towar a Media Hist Doc 12–26

    Google Scholar 

  4. CSE (2019) The cost of urban commute: balancing: affordability and sustainability of public transport, p 64

    Google Scholar 

  5. DMRC (2015) Sustainability in motion (DMRC operations and maintenance)

    Google Scholar 

  6. DMRC (2020) DMRC

    Google Scholar 

  7. Christian G (1984) A service quality model and its marketing implications 18(4)

    Google Scholar 

  8. Lehtinen JR (1991) Two approaches to service quality dimensions. Serv Ind J 11(3):287–303. https://doi.org/10.1080/02642069100000047

    Article  Google Scholar 

  9. Parasuraman A, Zeithaml VA, Berry LL (1985) A conceptual model of service quality and its implications for future research. J Mark 49(4):41. https://doi.org/10.2307/1251430

    Article  Google Scholar 

  10. Berry LL, Parasuraman A, Zeithaml VA (1988) SERVQUAL: a multiple-item scale for measuring consumer perceptions of service quality. J Retail 64(1):12–40

    Google Scholar 

  11. Kyriakidis M, Hirsch R, Majumdar A (2012) Metro railway safety: an analysis of accident precursors. Saf Sci 50(7):1535–1548. https://doi.org/10.1016/j.ssci.2012.03.004

    Article  Google Scholar 

  12. Wadhwa L (2000) Sustainable transport: key to sustainable cities 5–24

    Google Scholar 

  13. Bag S (2012) Kolkata metro railway and customer satisfaction: an empirical study 2(3)

    Google Scholar 

  14. Swami M, Parida M (2016) Diagnostic evaluation of multimodal urban transport system operation in Delhi. August

    Google Scholar 

  15. Breiman L (2001) Random forests. Lect Notes Comput Sci (including Subser Lect Notes Artif Intell Lect Notes Bioinformatics) 12343:503–515, LNCS. https://doi.org/10.1007/978-3-030-62008-0_35

  16. Golias I, Karlaftis MG (2001) An international comparative study of self-reported driver behavior. Transp Res Part F Traffic Psychol Behav 4(4):243–256. https://doi.org/10.1016/S1369-8478(01)00026-2

    Article  Google Scholar 

  17. Xie C, Lu J, Parkany E (2012) Work travel mode choice modeling with data mining: decision trees and neural networks. Transp Res Rec 1854:50–61. https://doi.org/10.3141/1854-06

    Article  Google Scholar 

  18. Goel R, Tiwari G (2016) Access-egress and other travel characteristics of metro users in Delhi and its satellite cities. IATSS Res 39(2):164–172. https://doi.org/10.1016/j.iatssr.2015.10.001

    Article  Google Scholar 

  19. Bhandari K, Kato H, Hayashi Y (2008) Mrts system in Delhi: increase in mode choice and its mobility and equity implications. Int J Urban Sci 12(2):158–172. https://doi.org/10.1080/12265934.2008.9693638

    Article  Google Scholar 

  20. Goel R, Tiwari G (2014) promoting low carbon transport in India

    Google Scholar 

  21. Chauhan V, Suman HK, Bolia NB (2016) Binary logistic model for estimation of mode shift into Delhi metro. Open Transp J 10(1):124–136. https://doi.org/10.2174/1874447801610010124

    Article  Google Scholar 

  22. Thanai D, Chugh N (2017) Customer satisfaction towards Delhi Metro Rail Corporation. XVIII Annu Int Conf Proc 978:264–276. [Online]. Available: http://www.internationalseminar.org/XVIII_AIC/TS5A/Dishathanai_264-276_pdf

  23. Ali J, Khan R, Ahmad N, Maqsood I (2012) Random forests and decision trees. Int J Comput Sci Issues 9(5):272–278

    Google Scholar 

  24. C. R. Sekhar, Minal, and E. Madhu, “Mode Choice Analysis Using Random Forrest Decision Trees,” Transp. Res. Procedia, vol. 17, no. December 2014, pp. 644–652, 2016, doi: https://doi.org/10.1016/j.trpro.2016.11.119.

  25. Krygsman S, Dijst M, Arentze T (2004) Multimodal public transport: An analysis of travel time elements and the interconnectivity ratio. Transp Policy 11(3):265–275. https://doi.org/10.1016/j.tranpol.2003.12.001

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Civil Engineering, Faculty of Engineering and Technology, Jamia Millia Islamia, New Delhi, India

    Salman Khursheed & Farhan Ahmed Kidwai

Authors
  1. Salman Khursheed
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Farhan Ahmed Kidwai
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Salman Khursheed .

Editor information

Editors and Affiliations

  1. Department of Civil Engineering, National Institute of Technology Calicut, Calicut, India

    M. V. L. R. Anjaneyulu

  2. Department of Civil Engineering, National Institute of Technology Calicut, Calicut, India

    M. Harikrishna

  3. Department of Civil Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, India

    Shriniwas S. Arkatkar

  4. Department of Civil Engineering, Indian Institute of Technology Madras, Chennai, India

    A. Veeraragavan

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Khursheed, S., Kidwai, F.A. (2023). Evaluation of Users Approbation Indicators of Delhi Metro. In: Anjaneyulu, M.V.L.R., Harikrishna, M., Arkatkar, S.S., Veeraragavan, A. (eds) Recent Advances in Transportation Systems Engineering and Management. Lecture Notes in Civil Engineering, vol 261. Springer, Singapore. https://doi.org/10.1007/978-981-19-2273-2_24

Download citation

  • DOI: https://doi.org/10.1007/978-981-19-2273-2_24

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-2272-5

  • Online ISBN: 978-981-19-2273-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation