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Travelling Together But Differently: Comparing Variations In Public Transit User Mode Choice Attributes Across New Delhi And New York

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  • Chitresh KUMAR

    (Jindal Global Business School, O. P. Jindal Global University, Sonipat Narela Road, Sonipat 131001, Haryana, India)

  • Anirban GANGULY

    (Jindal Global Business School, O. P. Jindal Global University, Sonipat Narela Road, Sonipat 131001, Haryana, India)

Abstract

Over the years, use of public transport has been the preferred mode of commuting for millions of people across the globe – both for developing and well as developed countries. While using public transport, commuters are often vested with a plethora of attributes that ultimately result in their final decision making regarding the public transportation mode choice. The purpose of this paper is to identify and prioritize a set of critical attributes that users consider while deciding their mode choice for urban public transport. The multi criteria decision analysis (MCDA) tool of Analytic Hierarchy Process (AHP) is used to prioritize the identified attributes. A survey among daily commuters in New York (USA) and Delhi (India) revealed that while the commuters from a developed country (USA) preferred safety and reliability, the counterparts from a developing country (India) weighed price / fare over other attributes. The findings of the current study might aid the policy makers in designing better public transport infrastructure as well as developing sustainable transport policy initiatives that aim to persuade people to use more public transport. Keywords: Public Transit, Mode Choice, Urban Mobility, User Perception, Analytical Hierarchical Process (AHP)

Suggested Citation

  • Chitresh KUMAR & Anirban GANGULY, 2018. "Travelling Together But Differently: Comparing Variations In Public Transit User Mode Choice Attributes Across New Delhi And New York," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 13(3), pages 54-73, August.
  • Handle: RePEc:rom:terumm:v:13:y:2018:i:3:p:54-73
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    as
    1. Unknown, 2012. "Transportation Research Forum," 53rd Annual Transportation Research Forum, Tampa, Florida, March 15-17, 2012 207218, Transportation Research Forum.
    2. N. Oort, 2016. "Incorporating enhanced service reliability of public transport in cost-benefit analyses," Public Transport, Springer, vol. 8(1), pages 143-160, March.
    3. 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.
    4. Fan, Yingling & Guthrie, Andrew & Levinson, David, 2016. "Waiting time perceptions at transit stops and stations: Effects of basic amenities, gender, and security," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 251-264.
    5. Barff, Richard & MacKay, David & Olshavsky, Richard W, 1982. "A Selective Review of Travel-Mode Choice Models," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 8(4), pages 370-380, March.
    6. Buehler, Ralph & Pucher, John, 2011. "Making public transport financially sustainable," Transport Policy, Elsevier, vol. 18(1), pages 126-138, January.
    7. Betsch, Tilmann & Haberstroh, Susanne & Glockner, Andreas & Haar, Thomas & Fiedler, Klaus, 2001. "The Effects of Routine Strength on Adaptation and Information Search in Recurrent Decision Making," Organizational Behavior and Human Decision Processes, Elsevier, vol. 84(1), pages 23-53, January.
    8. Alexandru-Mihai BUGHEANU, 2018. "Comparative Analysis On Public Transport Systems In European Capitals: Bucharest & Berlin," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 13(2), pages 65-75, May.
    9. Vincent Chakour & Naveen Eluru, 2014. "Analyzing commuter train user behavior: a decision framework for access mode and station choice," Transportation, Springer, vol. 41(1), pages 211-228, January.
    10. de Luca, Stefano, 2014. "Public engagement in strategic transportation planning: An analytic hierarchy process based approach," Transport Policy, Elsevier, vol. 33(C), pages 110-124.
    11. Eboli, Laura & Mazzulla, Gabriella, 2011. "A methodology for evaluating transit service quality based on subjective and objective measures from the passenger's point of view," Transport Policy, Elsevier, vol. 18(1), pages 172-181, January.
    12. Souche, Stéphanie, 2010. "Measuring the structural determinants of urban travel demand," Transport Policy, Elsevier, vol. 17(3), pages 127-134, May.
    13. Chowdhury, Subeh & Hadas, Yuval & Gonzalez, Vicente A. & Schot, Bart, 2018. "Public transport users' and policy makers' perceptions of integrated public transport systems," Transport Policy, Elsevier, vol. 61(C), pages 75-83.
    14. Eboli, Laura & Mazzulla, Gabriella, 2012. "Performance indicators for an objective measure of public transport service quality," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 51, pages 1-4.
    15. Nassereddine, M. & Eskandari, H., 2017. "An integrated MCDM approach to evaluate public transportation systems in Tehran," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 427-439.
    16. Thomas L. Saaty, 1994. "How to Make a Decision: The Analytic Hierarchy Process," Interfaces, INFORMS, vol. 24(6), pages 19-43, December.
    17. Guirao, Begoña & García-Pastor, Antonio & López-Lambas, María Eugenia, 2016. "The importance of service quality attributes in public transportation: Narrowing the gap between scientific research and practitioners' needs," Transport Policy, Elsevier, vol. 49(C), pages 68-77.
    18. Eboli, Laura & Mazzulla, G., 2008. "Willingness-to-pay of public transport users for improvement in service quality," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 38, pages 107-118.
    19. Moataz Mahmoud & Julian Hine, 2013. "Using AHP to measure the perception gap between current and potential users of bus services," Transportation Planning and Technology, Taylor & Francis Journals, vol. 36(1), pages 4-23, February.
    20. de Grange, Louis & González, Felipe & Muñoz, Juan Carlos & Troncoso, Rodrigo, 2013. "Aggregate estimation of the price elasticity of demand for public transport in integrated fare systems: The case of Transantiago," Transport Policy, Elsevier, vol. 29(C), pages 178-185.
    21. Celik, Erkan & Bilisik, Ozge Nalan & Erdogan, Melike & Gumus, Alev Taskin & Baracli, Hayri, 2013. "An integrated novel interval type-2 fuzzy MCDM method to improve customer satisfaction in public transportation for Istanbul," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 58(C), pages 28-51.
    22. Paulley, Neil & Balcombe, Richard & Mackett, Roger & Titheridge, Helena & Preston, John & Wardman, Mark & Shires, Jeremy & White, Peter, 2006. "The demand for public transport: The effects of fares, quality of service, income and car ownership," Transport Policy, Elsevier, vol. 13(4), pages 295-306, July.
    23. Tam, C.M. & Tong, Thomas K.L. & Chiu, Gerald W.C., 2006. "Comparing non-structural fuzzy decision support system and analytical hierarchy process in decision-making for construction problems," European Journal of Operational Research, Elsevier, vol. 174(2), pages 1317-1324, October.
    24. Hyard, Alexandra, 2013. "Non-technological innovations for sustainable transport," Technological Forecasting and Social Change, Elsevier, vol. 80(7), pages 1375-1386.
    25. Rocha, Phelipe Medeiros da & Barros, Alexandre Pinheiro de & Silva, Glauco Barbosa da & Costa, Helder Gomes, 2016. "Analysis of the operational performance of brazilian airport terminals: A multicriteria approach with De Borda-AHP integration," Journal of Air Transport Management, Elsevier, vol. 51(C), pages 19-26.
    26. Steg, Linda, 2005. "Car use: lust and must. Instrumental, symbolic and affective motives for car use," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 147-162.
    27. Vij, Akshay & Carrel, André & Walker, Joan L., 2013. "Incorporating the influence of latent modal preferences on travel mode choice behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 54(C), pages 164-178.
    28. FitzRoy, Felix & Smith, Ian, 1998. "Public transport demand in Freiburg: why did patronage double in a decade?," Transport Policy, Elsevier, vol. 5(3), pages 163-173, June.
    29. Anable, Jillian, 2005. "'Complacent Car Addicts' or 'Aspiring Environmentalists'? Identifying travel behaviour segments using attitude theory," Transport Policy, Elsevier, vol. 12(1), pages 65-78, January.
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