IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v91y2016icp178-194.html
   My bibliography  Save this article

Preference heterogeneity in mode choice based on a nationwide survey with a focus on urban rail

Author

Listed:
  • Zheng, Zuduo
  • Washington, Simon
  • Hyland, Paul
  • Sloan, Keith
  • Liu, Yulin

Abstract

The provision of efficient and effective urban public transport and transport policy requires a deep understanding of the factors influencing urban travellers’ choice of travel mode. The majority of existing literature reports on the results from single cities. This study presents the results of a nationwide travel survey implemented to examine multiple modes of urban passenger transport across five mainland state capitals in Australia, with a focus of urban rail. The study aims to explore differences in mode choices among surveyed travellers sampled from the five cities by accounting for two types of factors: service quality and features of public transport, and socio demographic characteristics. A stated preference approach is adopted to elicit people’s valuation of specified mode-choice related factors and their willingness to pay. In particular, the availabilities of wireless and laptop stations – two factors rarely examined in the literature, were also considered in the SP survey. The survey data were analysed using mixed logit models. To test for preference heterogeneity, socio-demographic factors were interacted with random parameters, and their influences on marginal utilities simulated. The analysis reveals that intercity differences, user group status, gender, income, and trip purposes partially explain observed preference heterogeneity.

Suggested Citation

  • Zheng, Zuduo & Washington, Simon & Hyland, Paul & Sloan, Keith & Liu, Yulin, 2016. "Preference heterogeneity in mode choice based on a nationwide survey with a focus on urban rail," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 178-194.
    • Handle: RePEc:eee:transa:v:91:y:2016:i:c:p:178-194
    DOI: 10.1016/j.tra.2016.06.032
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856416305833
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tra.2016.06.032?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mattias Gripsrud & Randi Hjorthol, 2012. "Working on the train: from ‘dead time’ to productive and vital time," Transportation, Springer, vol. 39(5), pages 941-956, September.
    2. Reid Ewing & Robert Cervero, 2010. "Travel and the Built Environment," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(3), pages 265-294.
    3. Wardman, Mark, 0. "A review of British evidence on time and service quality valuations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 37(2-3), pages 107-128, April.
    4. dell'Olio, Luigi & Ibeas, Angel & Cecín, Patricia, 2010. "Modelling user perception of bus transit quality," Transport Policy, Elsevier, vol. 17(6), pages 388-397, November.
    5. Marcel Paulssen & Dirk Temme & Akshay Vij & Joan Walker, 2014. "Values, attitudes and travel behavior: a hierarchical latent variable mixed logit model of travel mode choice," Transportation, Springer, vol. 41(4), pages 873-888, July.
    6. Zheng, Zuduo & Liu, Zhiyuan & Liu, Chuanli & Shiwakoti, Nirajan, 2014. "Understanding public response to a congestion charge: A random-effects ordered logit approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 117-134.
    7. Rose, John M. & Bliemer, Michiel C.J. & Hensher, David A. & Collins, Andrew T., 2008. "Designing efficient stated choice experiments in the presence of reference alternatives," Transportation Research Part B: Methodological, Elsevier, vol. 42(4), pages 395-406, May.
    8. Hensher, David A. & Stopher, Peter & Bullock, Philip, 2003. "Service quality--developing a service quality index in the provision of commercial bus contracts," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(6), pages 499-517, July.
    9. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D. With contributions by-Name:Adamowicz,Wiktor, 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304.
    10. Kamruzzaman, Md. & Baker, Douglas & Washington, Simon & Turrell, Gavin, 2013. "Residential dissonance and mode choice," Journal of Transport Geography, Elsevier, vol. 33(C), pages 12-28.
    11. Mark Wardman & Gerard Whelan, 2001. "Valuation of improved railway rolling stock: A review of the literature and new evidence," Transport Reviews, Taylor & Francis Journals, vol. 21(4), pages 415-447, January.
    12. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    13. David A. Hensher & Zheng Li, 2012. "Valuing Travel Time Variability within a Rank-Dependent Utility Framework and an Investigation of Unobserved Taste Heterogeneity," Journal of Transport Economics and Policy, University of Bath, vol. 46(2), pages 293-312, May.
    14. Lee, Yuhwa & Washington, Simon & Frank, Lawrence D., 2009. "Examination of relationships between urban form, household activities, and time allocation in the Atlanta Metropolitan Region," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(4), pages 360-373, May.
    15. Bhat, Chandra R., 2001. "Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model," Transportation Research Part B: Methodological, Elsevier, vol. 35(7), pages 677-693, August.
    16. Zhi Dong & Patricia Mokhtarian & Giovanni Circella & James Allison, 2015. "The estimation of changes in rail ridership through an onboard survey: did free Wi-Fi make a difference to Amtrak’s Capitol Corridor service?," Transportation, Springer, vol. 42(1), pages 123-142, January.
    17. P.B. Goodwin, 1977. "Habit and Hysteresis in Mode Choice," Urban Studies, Urban Studies Journal Limited, vol. 14(1), pages 95-98, February.
    18. Frei, Charlotte & Mahmassani, Hani S. & Frei, Andreas, 2015. "Making time count: Traveler activity engagement on urban transit," Transportation Research Part A: Policy and Practice, Elsevier, vol. 76(C), pages 58-70.
    19. Banerjee, Ipsita & Kanafani, Adib, 2008. "The Value of Wireless Internet Connection on Trains: Implications for Mode-Choice Models," University of California Transportation Center, Working Papers qt3bv6g5pm, University of California Transportation Center.
    20. Xinyu Cao & Patricia Mokhtarian & Susan Handy, 2007. "Do changes in neighborhood characteristics lead to changes in travel behavior? A structural equations modeling approach," Transportation, Springer, vol. 34(5), pages 535-556, September.
    21. Taylor, Brian D. & Fink, Camille N.Y., 2003. "The Factors Influencing Transit Ridership: A Review and Analysis of the Ridership Literature," University of California Transportation Center, Working Papers qt3xk9j8m2, University of California Transportation Center.
    22. Li, Zheng & Hensher, David A., 2011. "Crowding and public transport: A review of willingness to pay evidence and its relevance in project appraisal," Transport Policy, Elsevier, vol. 18(6), pages 880-887, November.
    23. Banerjee, Ipsita & Kanafani, Adib, 2008. "The Value of Wireless Internet Connection on Trains: Implications for Mode-Choice Models," University of California Transportation Center, Working Papers qt8kf2t753, University of California Transportation Center.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Giansoldati, Marco & Danielis, Romeo & Rotaris, Lucia, 2021. "Train-feeder modes in Italy. Is there a role for active mobility?," Research in Transportation Economics, Elsevier, vol. 86(C).
    2. Sovacool, Benjamin K. & Axsen, Jonn, 2018. "Functional, symbolic and societal frames for automobility: Implications for sustainability transitions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 730-746.
    3. Zhou, Fan & Zheng, Zuduo & Whitehead, Jake & Perrons, Robert K. & Washington, Simon & Page, Lionel, 2020. "Examining the impact of car-sharing on private vehicle ownership," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 322-341.
    4. Choi, Sungtaek & Mokhtarian, Patricia L., 2020. "How attractive is it to use the internet while commuting? A work-attitude-based segmentation of Northern California commuters," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 37-50.
    5. Aliaksandr Malokin & Giovanni Circella & Patricia L. Mokhtarian, 2021. "Do millennials value travel time differently because of productive multitasking? A revealed-preference study of Northern California commuters," Transportation, Springer, vol. 48(5), pages 2787-2823, October.
    6. Emine Coruh & Faruk Urak & Abdulbaki Bilgic & Steven T. Yen, 2022. "The role of household demographic factors in shaping transportation spending in Turkey," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 3485-3517, March.
    7. Malokin, Aliaksandr & Circella, Giovanni & Mokhtarian, Patricia L., 2019. "How do activities conducted while commuting influence mode choice? Using revealed preference models to inform public transportation advantage and autonomous vehicle scenarios," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 82-114.
    8. Md Hadiuzzaman & Nahid Parvez Farazi & Sanjana Hossain & D. M. Ghius Malik, 2019. "An exploratory analysis of observed and latent variables affecting intercity train service quality in developing countries," Transportation, Springer, vol. 46(4), pages 1447-1466, August.
    9. Thøgersen, John, 2018. "Transport-related lifestyle and environmentally-friendly travel mode choices: A multi-level approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 107(C), pages 166-186.
    10. Puteri Paramita & Zuduo Zheng & Md Mazharul Haque & Simon Washington & Paul Hyland, 2018. "User satisfaction with train fares: A comparative analysis in five Australian cities," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-26, June.
    11. Wang, Lisha & Miwa, Tomio & Jiang, Meilan & Morikawa, Takayuki, 2021. "Heterogeneous residential distribution changes and spillover effects by railway projects: The case study of Nagoya, Japan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 145-163.
    12. Giorgio Besagni & Marco Borgarello, 2020. "The socio-demographic dimensions of the private transportation emissions," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 0(1), pages 13-24.
    13. Zohreh Rashedi & Md Sami Hasnine & Khandker Nurul Habib, 2022. "Modelling second-best choices from the choice-based sample: revelation of potential mode-switching behaviour from transit passenger surveys," Public Transport, Springer, vol. 14(3), pages 609-633, October.
    14. Zhou, Fan & Zheng, Zuduo & Whitehead, Jake & Washington, Simon & Perrons, Robert K. & Page, Lionel, 2020. "Preference heterogeneity in mode choice for car-sharing and shared automated vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 633-650.

    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. Bounie, Nathan & Adoue, François & Koning, Martin & L'Hostis, Alain, 2019. "What value do travelers put on connectivity to mobile phone and Internet networks in public transport? Empirical evidence from the Paris region," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 158-177.
    2. Reema Bera & Bhargab Maitra, 2021. "Analyzing Prospective Owners’ Choice Decision towards Plug-in Hybrid Electric Vehicles in Urban India: A Stated Preference Discrete Choice Experiment," Sustainability, MDPI, vol. 13(14), pages 1-24, July.
    3. Pawlak, Jacek & Polak, John W. & Sivakumar, Aruna, 2017. "A framework for joint modelling of activity choice, duration, and productivity while travelling," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 153-172.
    4. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    5. Jinhyun Hong & David Philip McArthur & Mark Livingston, 2019. "Can Accessing the Internet while Travelling Encourage Commuters to Use Public Transport Regardless of Their Attitude?," Sustainability, MDPI, vol. 11(12), pages 1-10, June.
    6. Bouscasse, Hélène & de Lapparent, Matthieu, 2019. "Perceived comfort and values of travel time savings in the Rhône-Alpes Region," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 370-387.
    7. Ida, Takanori & Goto, Rei & Takahashi, Yuko & Nishimura, Shuzo, 2011. "Can economic-psychological parameters predict successful smoking cessation?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(3), pages 285-295, May.
    8. Allard, Ryan F. & Moura, Filipe, 2018. "Effect of transport transfer quality on intercity passenger mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 109(C), pages 89-107.
    9. Li, Hao & Gao, Kun & Tu, Huizhao, 2017. "Variations in mode-specific valuations of travel time reliability and in-vehicle crowding: Implications for demand estimation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 250-263.
    10. Dam, Thi Huyen Trang & Tur-Cardona, Juan & Speelman, Stijn & Amjath-Babu, T.S. & Sam, Anu Susan & Zander, Peter, 2021. "Incremental and transformative adaptation preferences of rice farmers against increasing soil salinity - Evidence from choice experiments in north central Vietnam," Agricultural Systems, Elsevier, vol. 190(C).
    11. Nakamura, Akihiro, 2015. "Mobile and fixed broadband access services substitution in Japan considering new broadband features," Telecommunications Policy, Elsevier, vol. 39(2), pages 140-154.
    12. De Vos, Jonas & Van Acker, Veronique & Witlox, Frank, 2014. "The influence of attitudes on Transit-Oriented Development: An explorative analysis," Transport Policy, Elsevier, vol. 35(C), pages 326-329.
    13. Dimitropoulos, Alexandros & Kontoleon, Andreas, 2009. "Assessing the determinants of local acceptability of wind-farm investment: A choice experiment in the Greek Aegean Islands," Energy Policy, Elsevier, vol. 37(5), pages 1842-1854, May.
    14. Ida, Takanori, 2010. "Anomaly, impulsivity, and addiction," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 39(2), pages 194-203, April.
    15. Le Goff, Alix & Monchambert, Guillaume & Raux, Charles, 2022. "Are solo driving commuters ready to switch to carpool? Heterogeneity of preferences in Lyon's urban area," Transport Policy, Elsevier, vol. 115(C), pages 27-39.
    16. Yang, Chih-Wen & Sung, Yen-Ching, 2010. "Constructing a mixed-logit model with market positioning to analyze the effects of new mode introduction," Journal of Transport Geography, Elsevier, vol. 18(1), pages 175-182.
    17. Chenfeng Xiong & Lei Zhang, 2017. "Dynamic travel mode searching and switching analysis considering hidden model preference and behavioral decision processes," Transportation, Springer, vol. 44(3), pages 511-532, May.
    18. De Vos, Jonas, 2018. "Do people travel with their preferred travel mode? Analysing the extent of travel mode dissonance and its effect on travel satisfaction," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 261-274.
    19. Ida, Takanori & Goto, Rei, 2009. "Interdependency among addictive behaviours and time/risk preferences: Discrete choice model analysis of smoking, drinking, and gambling," Journal of Economic Psychology, Elsevier, vol. 30(4), pages 608-621, August.
    20. Klinger, Thomas, 2017. "Moving from monomodality to multimodality? Changes in mode choice of new residents," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 221-237.

    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:eee:transa:v:91:y:2016:i:c:p:178-194. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    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.