IDEAS home Printed from https://ideas.repec.org/a/sae/fbbsrw/v10y2021i2p172-180.html
   My bibliography  Save this article

A Study of Commuter’s Shift Behaviour Towards New Age Convenient Transport Services

Author

Listed:
  • Shubhendra Singh Parihar
  • Puneet Rai
  • Masood Siddiqui

Abstract

This study identifies the determinants of commuter’s perception and shift behaviour towards new-age transport services. Convenience is an essential determinant in influencing consumer preferences. Multiple factors such as accessibility, convenience, cost of transport, number of transfers during the journey and waiting time are a few salient variables that influence the commuter’s shift to a new transport mode. Responses from ongoing commuters were collected by using a structured questionnaire from the users and non-users of the metro. The collected data were analysed. The study reveals that categorical variables such as age, gender and occupation have some degree of influence in commuters’ shift behaviour towards new-age transport services. The study will provide insights to formulate a future strategy to improve the acceptance of new-age transportation.

Suggested Citation

  • Shubhendra Singh Parihar & Puneet Rai & Masood Siddiqui, 2021. "A Study of Commuter’s Shift Behaviour Towards New Age Convenient Transport Services," FIIB Business Review, , vol. 10(2), pages 172-180, June.
  • Handle: RePEc:sae:fbbsrw:v:10:y:2021:i:2:p:172-180
    DOI: 10.1177/23197145211016738
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/23197145211016738
    Download Restriction: no

    File URL: https://libkey.io/10.1177/23197145211016738?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Tim Schwanen & Frans M. Dieleman & Martin Dijst, 2004. "The Impact of Metropolitan Structure on Commute Behavior in the Netherlands: A Multilevel Approach," Growth and Change, Wiley Blackwell, vol. 35(3), pages 304-333, September.
    2. Dong Lin & Andrew Allan & Jianqiang Cui, 2016. "Exploring Differences in Commuting Behaviour among Various Income Groups during Polycentric Urban Development in China: New Evidence and Its Implications," Sustainability, MDPI, vol. 8(11), pages 1-17, November.
    3. Javier Asensio, 2002. "Transport Mode Choice by Commuters to Barcelona's CBD," Urban Studies, Urban Studies Journal Limited, vol. 39(10), pages 1881-1895, September.
    4. Zhang, Zheng & Fujii, Hidemichi & Managi, Shunsuke, 2014. "How does Commuting Behavior Change Due to Incentives? An Empirical Study of the Beijing Subway System," MPRA Paper 54691, University Library of Munich, Germany.
    5. Toşa, Cristian & Sato, Hitomi & Morikawa, Takayuki & Miwa, Tomio, 2018. "Commuting behavior in emerging urban areas: Findings of a revealed-preferences and stated-intentions survey in Cluj-Napoca, Romania," Journal of Transport Geography, Elsevier, vol. 68(C), pages 78-93.
    6. Ben-Akiva, Moshe & Morikawa, Takayuki, 2002. "Comparing ridership attraction of rail and bus," Transport Policy, Elsevier, vol. 9(2), pages 107-116, April.
    7. Sadhukhan, Shubhajit & Banerjee, Uttam K. & Maitra, Bhargab, 2016. "Commuters’ willingness-to-pay for improvement of transfer facilities in and around metro stations – A case study in Kolkata," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 43-58.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yue Liu & Jun Chen & Weiguang Wu & Jiao Ye, 2019. "Typical Combined Travel Mode Choice Utility Model in Multimodal Transportation Network," Sustainability, MDPI, vol. 11(2), pages 1-15, January.
    2. Jeremy Webb & Max Briggs & Clevo Wilson, 2018. "Breaking automotive modal lock-in: a choice modelling study of Jakarta commuters," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(1), pages 47-68, January.
    3. Jie Zhang & Yang Xie, 2015. "Optimal Intra-Urban Hierarchy of Activity Centers—A Minimized Household Travel Energy Consumption Approach," Sustainability, MDPI, vol. 7(9), pages 1-19, August.
    4. Ding, Yu & Lu, Huapu, 2016. "Activity participation as a mediating variable to analyze the effect of land use on travel behavior: A structural equation modeling approach," Journal of Transport Geography, Elsevier, vol. 52(C), pages 23-28.
    5. Javier Asensio & Andrés Gómez-Lobo & Anna Matas, 2013. "How effective are policies to reduce gasoline consumption? Evaluating a quasi-natural experiment in Spain," Working Papers wpdea1303, Department of Applied Economics at Universitat Autonoma of Barcelona.
    6. Rafael Henrique Moraes Pereira & Tim Schwanen, 2013. "Commute Time in Brazil (1992-2009): Differences Between Metropolitan Areas, by Income Levels and Gender," Discussion Papers 1813a, Instituto de Pesquisa Econômica Aplicada - IPEA.
    7. Rong-Chang Jou & David A. Hensher & Yu-Hsin Liu & Ching-Shu Chiu, 2010. "Urban Commuters’ Mode-switching Behaviour in Taipai, with an Application of the Bounded Rationality Principle," Urban Studies, Urban Studies Journal Limited, vol. 47(3), pages 650-665, March.
    8. Deka, Devajyoti & Carnegie, Jon, 2021. "Predicting transit mode choice of New Jersey workers commuting to New York City from a stated preference survey," Journal of Transport Geography, Elsevier, vol. 91(C).
    9. Hensher, David A. & Ho, Chinh & Mulley, Corinne, 2015. "Identifying resident preferences for bus-based and rail-based investments as a complementary buy in perspective to inform project planning prioritisation," Journal of Transport Geography, Elsevier, vol. 46(C), pages 1-9.
    10. Ahern, Aoife A. & Tapley, Nigel, 2008. "The use of stated preference techniques to model modal choices on interurban trips in Ireland," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(1), pages 15-27, January.
    11. Moshe Givoni, 2020. "The high‐speed bus (HSB) as an alternative to the high‐speed rail (HSR): A conceptual approach examined through a case study," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(3), pages 507-518, June.
    12. Benassi, Federico & Boeri, Marco & Elezi, Pranvera & Zindato, Donatella, 2016. "The importance of spatial adjustment processes in the labour force: the case of Albania," MPRA Paper 74500, University Library of Munich, Germany.
    13. Van Acker, Veronique & Witlox, Frank, 2010. "Car ownership as a mediating variable in car travel behaviour research using a structural equation modelling approach to identify its dual relationship," Journal of Transport Geography, Elsevier, vol. 18(1), pages 65-74.
    14. Yusuke Sakata & Junyi Shen & Yoshizo Hashimoto, 2006. "The Influence of Environmental Deterioration and Network Improvement on Transport Modal Choice," Discussion Papers in Economics and Business 06-04, Osaka University, Graduate School of Economics.
    15. Dewulf, Bart & Neutens, Tijs & Vanlommel, Mario & Logghe, Steven & De Maeyer, Philippe & Witlox, Frank & De Weerdt, Yves & Van de Weghe, Nico, 2015. "Examining commuting patterns using Floating Car Data and circular statistics: Exploring the use of new methods and visualizations to study travel times," Journal of Transport Geography, Elsevier, vol. 48(C), pages 41-51.
    16. Elldér, Erik, 2014. "Residential location and daily travel distances: the influence of trip purpose," Journal of Transport Geography, Elsevier, vol. 34(C), pages 121-130.
    17. Isabelle Wachter & Christian Holz-Rau, 2022. "Gender differences in work-related high mobility differentiated by partnership and parenthood status," Transportation, Springer, vol. 49(6), pages 1737-1764, December.
    18. Aguiléra, Anne & Voisin, Marion, 2014. "Urban form, commuting patterns and CO2 emissions: What differences between the municipality’s residents and its jobs?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 243-251.
    19. Hudson, John & Orviska, Marta & Hunady, Jan, 2019. "People’s attitudes to autonomous vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 164-176.
    20. Moniruzzaman, Md. & Páez, Antonio & Nurul Habib, Khandker M. & Morency, Catherine, 2013. "Mode use and trip length of seniors in Montreal," Journal of Transport Geography, Elsevier, vol. 30(C), pages 89-99.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:fbbsrw:v:10:y:2021:i:2:p:172-180. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.