Transactions on Transport Sciences 2022, 13(3):37-46

Shift from smart mobility to responsive mobility for metro stations in Chennai, India

Ar. S. Sivaneswaria, Dr. D. Karthigeyanb
a. M. Plan student, School of Planning Architecture and Design Excellence, Hindustan Institute of Technology and Science, Chennai, India.
b. Associate Professor, School of Planning Architecture and Design Excellence, Hindustan Institute of Technology and Science, Chennai, India.

The responsive city explores citizen as centre of decision making in the smart city ideas, that is "From For the citizen to By the citizen". Last-mile connectivity is the connection between stations transit stops, to the final destination. It is one of the major factors in a successful smart mobility plan. This research is an attempt to explore responsive last mile connectivity. The two newly opened station (Tiruvottiyur metro station and Wimco nagar metro station) of Chennai metro rail phase I extension is selected as the study area, which provide wide scope for research. The issues identified and solved at the early stage of the development of transit network will improve the quality of life of citizens and also increase commuters, which has a relationship with economic development on the other hand. Two park analysis was undertaken in this research, one based on the questionnaire survey on five major aspects i.e. exact location of the commuters, General information about the commuters, trip information, parameters of Chennai Metro rail limited, Suggestions and recommendations of commuters and other is the statistical analysis for predicting the mode choice using multinomial logit regression method. From the findings it was evident that lack of quality infrastructure, pedestrian-friendly facility and high peak hour traffic are the major problems felt by the commuters. From the Multinomial logit model it is found that there is an increase in usage of public transport in one station and decrease in the other station. The pure participatory approach was involved in arriving at the proposal from the finding of the analysis in this research.

Keywords: Responsive mobility, Last mile connectivity, Mode choice model, Multinomial logit regression, Chennai Metro Rail Corridor

Received: January 27, 2022; Revised: July 13, 2022; Accepted: August 17, 2022; Prepublished online: September 7, 2022; Published: January 9, 2023  Show citation

ACS AIP APA ASA Harvard Chicago Chicago Notes IEEE ISO690 MLA NLM Turabian Vancouver
Sivaneswari, A.S., & Karthigeyan, D.D. (2022). Shift from smart mobility to responsive mobility for metro stations in Chennai, India. Transactions on Transport Sciences, 13(3), 37-46
Share...
Download citation
  • BibTeX (.bib)
  • Bookends (.ris)
  • EasyBib (.ris)
  • EndNote (.enw)
  • EndNote 8 (.xml)
  • ISI WoS (.isi)
  • Medlars (.medlars)
  • Mendeley (.ris)
  • MODS (.xml)
  • Papers (.ris)
  • RefWorks (.txt)
  • RefManager (.ris)
  • RIS (.ris)
  • MS Word (.xml)
  • Zotero (.ris)
    • Open full article

    References

    1. Aletà, N. B., Alonso, C. M. & Ruiz, R. M. A., 2017. Smart Mobility and Smart Environment in the Spanish cities. Transportation Research Procedia, Volume 24, pp. 163-170. Go to original source...
    2. Allam, Z. & Newman, P., 2018. Redefining the Smart City: Culture, Metabolism and Governance.. Smart Cities, 1(1), pp. 4-25. Go to original source...
    3. Ashalatha, R., Manju, . V. S. & Zachari, A. B., 2013. Mode Choice Behavior of Commuters in Thiruvananthapuram. Journal of transportation engineering, Vol. 139(5), pp. 494-502. Go to original source...
    4. Bakici, T., Almirall, E. & Wareham, J., 2014. A Smart City Initiative: The Case of Barcelona. Journal of the Knowledge Economy 2: 1, pp. 1-14.
    5. Chanda, R., Sen, S. & Roy, S. K., 2016. Mode Choice Modelling of Work Trips: A case study of Kolkata. Italy, Seek Digital library, pp. 41-45. Go to original source...
    6. CMRL, Chennai Metro Rail Corportation, 2021. Chennai Metro Rail Corportation. [Online] Available at: https://chennaimetrorail.org/alignment-map/
    7. De, M., Sikarwar, S. & Kumar, V., 2017. Intelligent Systems to Enhance Last Mile Connectivity for Upcoming Smart Cities. J Adv Res Const Urban Arch, pp. 2(3&4):16-31.
    8. Frost & S., 2019. Smart Mobility City Tracker, s.l.: Frost and Sullivan.
    9. Kanuria, C., Venkata, K., Maitia, S. & Mulukutlaa, P., 2019. Leveraging innovation for last-mile connectivity to mass transit. s.l., Elsevier Ltd., pp. 655-669. Go to original source...
    10. Lombardi, P., Giordano, S., Farouh, H. & Yousef, W., 2012. Modelling the Smart City Performance. The European Journal of Social Science Research 25: 2, pp. 137-149. Go to original source...
    11. Minal, C. R. S., 2014. Mode choice analysis: The data, the models and future ahead. s.l., International Journal for Traffic and Transport Engineering.
    12. Mohamed, A. R., 2020. Integrated Approach Towards Participatory Development of Urban Neighborhood Spaces: Chennai, India. IntechOpen, DOI: 10.5772/intechopen.90832. Go to original source...
    13. Monzón, A., 2017. Assessment Methodology for smart city projects application to the Mediterranean region, Europe: The Transport Research Centre TRANSyT - UPM.
    14. OpenCity, 2017. OpenCity. [Online] Available at: https://opencity.in/data/chennai-gcc-greater-chennai-corporation-wards-mapP.K.Parthiban, K., n.d. Study on last mile connectivity with Metro Rail Stations to improve Metro Rail patronage in CMRL.. [Online] Available at: http://www.urbanmobilityindia.in/Upload/Conference/a7a35e79-e410-4c12-8803-78afa52c7ab8.pdf
    15. Primary Census Abstracts, R. G. o. I., 2011. Census, s.l.: Ministry of Home Affairs,Government of India.
    16. Quium, A. A., 2003. A guide to the application of public participation in planning and policy formulation towards sustainable transport development, New York: ESCAP publication ST/ESCAP/2171.
    17. Safetipin, 2015. Enhancing last mile connectivity- a safety analysis of the yellow line, Delhi metro, Gurgon: Safetipin.
    18. Sanders, E. B.-N., 2002. From user-centered to participatory design approaches. In: Design and the Social Sciences. s.l.:Taylor & Francis, pp. 1-7. Go to original source...
    19. Sheethal , J. S., 2020. Enhancing Last Mile Connectivity in Bengaluru Metro - A Case Study. International Journal of Scientific & Engineering Research, pp. 124-131.
    20. Simonofski, A., Asensio, E. S. & Wautelet, Y., 2019. Citizen participation in the design of smart cities: methods and management framework. In: Smart Cities: Issues and Challenges. s.l.:ScienceDirect, pp. 47-62. Go to original source...
    21. Soman, J. & Verghese, V., 2019. Mode choice Behaviour Analysis of Students in Thrissur city. International Research Journal of Engineering and Technology (IRJET), pp. 1226-1231.
    22. Tamil Nadu Urban Infrastructure Financial Services Limited, 2008. City Corporate Plan cum Business Plan, s.l.: Tamil Nadu Urban Infrastructure Financial Services Limited.
    23. Tomaszewska, E. J. & Florea, A., 2018. Urban smart mobility in the scientific literature - bibliometric analysis. Engineering Management in Production and Services, 10(2), pp. 41-56. Go to original source...
    24. Urban Mass Transit Company Limited, U., 2019. Comprehensive Mobility Plan for Chennai Metropolitan Area, Chennai: Chennai Metropolitan Development Authority.
    25. Yigitcanlar, T. & Kamruzzaman, M., 2019. Smart Cities and Mobility: Does the Smartness of Australian Cities Lead to Sustainable Commuting Patterns?. Journal of Urban Technology, 26(2), pp. 21-46. Go to original source...

    This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.


    Return to the content