IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v86y2016icp108-123.html
   My bibliography  Save this article

The best of times and the worst of times: A new best–worst measure of attitudes toward public transport experiences

Author

Listed:
  • Beck, Matthew J.
  • Rose, John M.

Abstract

Attitudes play an important role in determining individual transit behaviour and the measurement of attitudes is relied on by public transit authorities’ world over. Given their role in behaviour and policy making, the accurate measurement of attitudes is of critical importance. Traditional satisfaction scales are prone to bias and on their own they are only a partial measure of attitudes. Given that satisfaction scales have been used to assist with large scale transport infrastructure investment decisions, to aid policy makers examining reactions to alternative policy changes and reform, and to measure the success of new initiatives, deriving robust satisfaction scales should be of critical importance. This paper introduces a dual version of best–worst scaling as an alternative measure of satisfaction. Best–worst scaling is free of the biases inherent in traditional response scales and is ideal for handling the comparative evaluation of large amount of attributes, particularly those which are inherently qualitative. The paper makes a further innovative contribution by proposing a model structure for the joint estimation of satisfaction and importance. Our model shows a better delineation between the attributes used to measure attitudes towards bus use and a more detailed understanding of the relationship between importance and satisfaction; enabling transport operators to better understand what counts most and assess their performance.

Suggested Citation

  • Beck, Matthew J. & Rose, John M., 2016. "The best of times and the worst of times: A new best–worst measure of attitudes toward public transport experiences," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 108-123.
  • Handle: RePEc:eee:transa:v:86:y:2016:i:c:p:108-123
    DOI: 10.1016/j.tra.2016.02.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096585641600029X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tra.2016.02.002?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. Zhang, Kai & Zhou, Kan & Zhang, Fangzhou, 2014. "Evaluating bus transit performance of Chinese cities: Developing an overall bus comfort model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 105-112.
    2. Pat Auger & Timothy Devinney & Jordan Louviere, 2007. "Using Best–Worst Scaling Methodology to Investigate Consumer Ethical Beliefs Across Countries," Journal of Business Ethics, Springer, vol. 70(3), pages 299-326, February.
    3. dell'Olio, Luigi & Ibeas, Angel & Cecin, Patricia, 2011. "The quality of service desired by public transport users," Transport Policy, Elsevier, vol. 18(1), pages 217-227, January.
    4. Laura Eboli & Gabriella Mazzulla, 2008. "A Stated Preference Experiment for Measuring Service Quality in Public Transport," Transportation Planning and Technology, Taylor & Francis Journals, vol. 31(5), pages 509-523, February.
    5. 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.
    6. Beirão, Gabriela & Sarsfield Cabral, J.A., 2007. "Understanding attitudes towards public transport and private car: A qualitative study," Transport Policy, Elsevier, vol. 14(6), pages 478-489, November.
    7. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    8. Hess, Stephane & Rose, John M. & Hensher, David A., 2008. "Asymmetric preference formation in willingness to pay estimates in discrete choice models," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(5), pages 847-863, September.
    9. Bouf, Dominique & Hensher, David A., 2007. "The dark side of making transit irresistible: The example of France," Transport Policy, Elsevier, vol. 14(6), pages 523-532, November.
    10. T.N. Flynn & A.A.J. Marley, 2014. "Best-worst scaling: theory and methods," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 8, pages 178-201, Edward Elgar Publishing.
    11. Steenkamp, Jan-Benedict E M & Baumgartner, Hans, 1998. "Assessing Measurement Invariance in Cross-National Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 25(1), pages 78-90, June.
    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. Losada-Rojas, Lisa Lorena & Gkartzonikas, Christos & Pyrialakou, V. Dimitra & Gkritza, Konstantina, 2019. "Exploring intercity passengers’ attitudes and loyalty to intercity passenger rail: Evidence from an on-board survey," Transport Policy, Elsevier, vol. 73(C), pages 71-83.
    2. Sarker, Rumana Islam & Kaplan, Sigal & Mailer, Markus & Timmermans, Harry J.P., 2019. "Applying affective event theory to explain transit users’ reactions to service disruptions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 593-605.
    3. Yang, Min & Wang, Zheyuan & Cheng, Long & Chen, Enhui, 2022. "Exploring satisfaction with air-HSR intermodal services: A Bayesian network analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 156(C), pages 69-89.
    4. Luis A. Guzman & Victor A. Cantillo-Garcia & Julian Arellana & Olga L. Sarmiento, 2023. "User expectations and perceptions towards new public transport infrastructure: evaluating a cable car in Bogotá," Transportation, Springer, vol. 50(3), pages 751-771, June.
    5. Beck, Matthew J. & Hensher, David A. & Nelson, John D., 2021. "Public transport trends in Australia during the COVID-19 pandemic: An investigation of the influence of bio-security concerns on trip behaviour," Journal of Transport Geography, Elsevier, vol. 96(C).
    6. Weiya Chen & Zixuan Kang & Xiaoping Fang & Jiajia Li, 2020. "Design a Semantic Scale for Passenger Perceived Quality Surveys of Urban Rail Transit: Within Attribute’s Service Condition and Rider’s Experience," Sustainability, MDPI, vol. 12(20), pages 1-21, October.
    7. Roberto Sañudo & Eneko Echaniz & Borja Alonso & Rubén Cordera, 2019. "Addressing the Importance of Service Attributes in Railways," Sustainability, MDPI, vol. 11(12), pages 1-20, June.
    8. Hoffmann, Christin & Abraham, Charles & White, Mathew P. & Skippon, Stephen M., 2020. "Ambivalent about travel mode choice? A qualitative investigation of car user and non-car user attitudes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 323-338.
    9. Echaniz, Eneko & Ho, Chinh Q. & Rodriguez, Andres & dell'Olio, Luigi, 2019. "Comparing best-worst and ordered logit approaches for user satisfaction in transit services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 752-769.
    10. Iván Manuel Mendoza-Arango & Eneko Echaniz & Luigi dell’Olio & Eduardo Gutiérrez-González, 2020. "Weighted Variables Using Best-Worst Scaling in Ordered Logit Models for Public Transit Satisfaction," Sustainability, MDPI, vol. 12(13), pages 1-20, July.

    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. Laura Eboli & Gabriella Mazzulla, 2014. "Investigating the heterogeneity of bus users' preferences through discrete choice modelling," Transportation Planning and Technology, Taylor & Francis Journals, vol. 37(8), pages 695-710, December.
    2. Chica-Olmo, Jorge & Gachs-Sánchez, Héctor & Lizarraga, Carmen, 2018. "Route effect on the perception of public transport services quality," Transport Policy, Elsevier, vol. 67(C), pages 40-48.
    3. Magalhães, David José Ahouagi Vaz de & Rivera-Gonzalez, Carlos, 2021. "Car users’ attitudes towards an enhanced bus system to mitigate urban congestion in a developing country," Transport Policy, Elsevier, vol. 110(C), pages 452-464.
    4. Epstein, Bryan & Givoni, Moshe, 2016. "Analyzing the gap between the QOS demanded by PT users and QOS supplied by service operators," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 622-637.
    5. Celik, Erkan & Aydin, Nezir & Gumus, Alev Taskin, 2014. "A multiattribute customer satisfaction evaluation approach for rail transit network: A real case study for Istanbul, Turkey," Transport Policy, Elsevier, vol. 36(C), pages 283-293.
    6. Margareta Friman & Katrin Lättman & Lars E. Olsson, 2020. "Public Transport Quality, Safety, and Perceived Accessibility," Sustainability, MDPI, vol. 12(9), pages 1-14, April.
    7. Díez-Mesa, Francisco & de Oña, Rocio & de Oña, Juan, 2018. "Bayesian networks and structural equation modelling to develop service quality models: Metro of Seville case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 1-13.
    8. Ganji, S.S. & Ahangar, A.N. & Awasthi, Anjali & Jamshidi Bandari, Smaneh, 2021. "Psychological analysis of intercity bus passenger satisfaction using Q methodology," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 345-363.
    9. Shreya Das & Debapratim Pandit, 2013. "Importance of user perception in evaluating level of service for bus transit for a developing country like India: a review," Transport Reviews, Taylor & Francis Journals, vol. 33(4), pages 402-420, July.
    10. Mouwen, Arnoud & Rietveld, Piet, 2013. "Does competitive tendering improve customer satisfaction with public transport? A case study for the Netherlands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 51(C), pages 29-45.
    11. Aydin, Nezir & Celik, Erkan & Gumus, Alev Taskin, 2015. "A hierarchical customer satisfaction framework for evaluating rail transit systems of Istanbul," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 61-81.
    12. 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.
    13. Eboli, Laura & Forciniti, Carmen & Mazzulla, Gabriella, 2018. "Spatial variation of the perceived transit service quality at rail stations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PA), pages 67-83.
    14. John Rose & David Hensher, 2014. "Tollroads are only part of the overall trip: the error of our ways in past willingness to pay studies," Transportation, Springer, vol. 41(4), pages 819-837, July.
    15. David Hensher & Corinne Mulley, 2015. "Modal image: candidate drivers of preference differences for BRT and LRT," Transportation, Springer, vol. 42(1), pages 7-23, January.
    16. Nkurunziza, Alphonse & Zuidgeest, Mark & Brussel, Mark & Van den Bosch, Frans, 2012. "Spatial variation of transit service quality preferences in Dar-es-Salaam," Journal of Transport Geography, Elsevier, vol. 24(C), pages 12-21.
    17. Rong, Rui & Liu, Lishan & Jia, Ning & Ma, Shoufeng, 2022. "Impact analysis of actual traveling performance on bus passenger’s perception and satisfaction," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 80-100.
    18. Adam Blake & Mondher Sahli & Neelu Seetaram, 2012. "Introduction," Tourism Economics, , vol. 18(6), pages 1155-1159, December.
    19. Carreira, Rui & Patrício, Lia & Natal Jorge, Renato & Magee, Chris, 2014. "Understanding the travel experience and its impact on attitudes, emotions and loyalty towards the transportation provider–A quantitative study with mid-distance bus trips," Transport Policy, Elsevier, vol. 31(C), pages 35-46.
    20. MONTENEGRO, Bryan David Galarza & SÖRENSEN, Kenneth & VANSTEENWEGEN, Pieter, 2020. "A demand-responsive feeder service with mandatory and optional, clustered bus-stops," Working Papers 2020006, University of Antwerp, Faculty of Business and Economics.

    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:86:y:2016:i:c:p:108-123. 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.