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The role of passenger-centric innovation in the future of public transport

Author

Listed:
  • Tiago Camacho

    (Urban Informatics Research Lab, School of Design, Creative Industries Faculty
    Queensland University of Technology)

  • Marcus Foth

    (Urban Informatics Research Lab, School of Design, Creative Industries Faculty
    Queensland University of Technology)

  • Andry Rakotonirainy

    (Centre for Accident Research and Road Safety Queensland (CARRS-Q), Faculty of Health
    Queensland University of Technology)

  • Markus Rittenbruch

    (Urban Informatics Research Lab, School of Design, Creative Industries Faculty
    Queensland University of Technology)

  • Jonathan Bunker

    (School of Civil Engineering and The Built Environment, Science and Engineering Faculty
    Queensland University of Technology)

Abstract

Although hard factors such as availability, efficiency, safety, and comfort make up the core of the public transport quality of service, they are only a part of the bigger picture. This bigger picture is modified and shaped daily, where the increasing permeation of technology creates new possibilities for passengers to experience their journeys. Despite technology becoming ubiquitous in public transport, it has had only limited impact on how passengers connect affectively and symbolically with the service. This “affective gap” is at the core of what differentiates private and public transport. Being able to reduce this gap is therefore valuable to passengers and public transport service providers alike. In this paper, we build on existing and ongoing work to discuss the relevance of a passenger-centric approach to innovation in the field of public transport. This passenger-centric approach puts passengers at the centre of future solutions, where their evolving needs, desires, and values are used to guide how to enhance the existing core functionality of the service. To test our hypothesis that passenger-centric innovation is valuable to passengers and advantageous to service providers alike, we put forward a review on how innovation is being approached in both the aviation and car industries. This review is supported by our own insights, which have been based on data collected from urban rail commuters in Australia. We further support our argument by looking at particular examples of innovation in the field of public transport, and discussing the existing barriers and drivers that can, respectively, hinder or propel passenger-centric innovation.

Suggested Citation

  • Tiago Camacho & Marcus Foth & Andry Rakotonirainy & Markus Rittenbruch & Jonathan Bunker, 2016. "The role of passenger-centric innovation in the future of public transport," Public Transport, Springer, vol. 8(3), pages 453-475, December.
    • Handle: RePEc:spr:pubtra:v:8:y:2016:i:3:d:10.1007_s12469-016-0148-5
    DOI: 10.1007/s12469-016-0148-5
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    1. Lyons, Glenn & Jain , Juliet & Susilo , Yusak O. & Atkins, Steve, 2013. "Comparing rail passengers’ travel time use in Great Britain between 2004 and 2010," Working papers in Transport Economics 2013:17, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    2. Redman, Lauren & Friman, Margareta & Gärling, Tommy & Hartig, Terry, 2013. "Quality attributes of public transport that attract car users: A research review," Transport Policy, Elsevier, vol. 25(C), pages 119-127.
    3. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
    4. Marcus Foth & Ronald Schroeter & Jimmy Ti, 2013. "Opportunities of Public Transport Experience Enhancements with Mobile Services and Urban Screens," International Journal of Ambient Computing and Intelligence (IJACI), IGI Global, vol. 5(1), pages 1-18, January.
    5. Tang, Siman & Lo, Hong K., 2008. "The impact of public transport policy on the viability and sustainability of mass railway transit - The Hong Kong experience," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(4), pages 563-576, May.
    6. Mokhtarian, P.L., 2005. "Travel as a desired end, not just a means," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 93-96.
    7. Friman, Margareta, 2004. "The structure of affective reactions to critical incidents," Journal of Economic Psychology, Elsevier, vol. 25(3), pages 331-353, June.
    8. 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.
    9. 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.
    10. Jain, Juliet & Lyons, Glenn, 2008. "The gift of travel time," Journal of Transport Geography, Elsevier, vol. 16(2), pages 81-89.
    11. Fiorio, Carlo V. & Florio, Massimo & Perucca, Giovanni, 2013. "User satisfaction and the organization of local public transport: Evidence from European cities," Transport Policy, Elsevier, vol. 29(C), pages 209-218.
    12. Ory, David T. & Mokhtarian, Patricia L., 2005. "When is getting there half the fun? Modeling the liking for travel," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 97-123.
    13. Lyons, Glenn & Jain, Juliet & Holley, David, 2007. "The use of travel time by rail passengers in Great Britain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(1), pages 107-120, January.
    14. Anable, Jillian & Gatersleben, Birgitta, 2005. "All work and no play? The role of instrumental and affective factors in work and leisure journeys by different travel modes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 163-181.
    15. Nobuaki Ohmori & Noboru Harata, 2008. "How Different Are Activities While Commuting By Train? A Case In Tokyo," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 99(5), pages 547-561, December.
    16. Olsson, Lars E. & Friman, Margareta & Pareigis, Jörg & Edvardsson, Bo, 2012. "Measuring service experience: Applying the satisfaction with travel scale in public transport," Journal of Retailing and Consumer Services, Elsevier, vol. 19(4), pages 413-418.
    17. 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.
    18. Ettema, Dick & Friman, Margareta & Gärling, Tommy & Olsson, Lars E. & Fujii, Satoshi, 2012. "How in-vehicle activities affect work commuters’ satisfaction with public transport," Journal of Transport Geography, Elsevier, vol. 24(C), pages 215-222.
    19. Lyons, Glenn & Urry, John, 2005. "Travel time use in the information age," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 257-276.
    20. K. M. Gwilliam, 2001. "Competition in Urban Passenger Transport in the Developing World," Journal of Transport Economics and Policy, University of Bath, vol. 35(1), pages 99-118, January.
    21. Tyrinopoulos, Yannis & Antoniou, Constantinos, 2008. "Public transit user satisfaction: Variability and policy implications," Transport Policy, Elsevier, vol. 15(4), pages 260-272, July.
    22. Chen, Ching-Fu, 2008. "Investigating structural relationships between service quality, perceived value, satisfaction, and behavioral intentions for air passengers: Evidence from Taiwan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(4), pages 709-717, May.
    23. Glenn Lyons & Juliet Jain & Yusak Susilo & Stephen Atkins, 2013. "Comparing Rail Passengers' Travel Time Use in Great Britain Between 2004 and 2010," Mobilities, Taylor & Francis Journals, vol. 8(4), pages 560-579, November.
    24. Siman Tang & Hong Lo, 2010. "On the financial viability of mass transit development: the case of Hong Kong," Transportation, Springer, vol. 37(2), pages 299-316, March.
    25. 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.
    26. Wagner, Caroline S. & Roessner, J. David & Bobb, Kamau & Klein, Julie Thompson & Boyack, Kevin W. & Keyton, Joann & Rafols, Ismael & Börner, Katy, 2011. "Approaches to understanding and measuring interdisciplinary scientific research (IDR): A review of the literature," Journal of Informetrics, Elsevier, vol. 5(1), pages 14-26.
    27. Andry Rakotonirainy & Frank Feller & Narelle Haworth, 2009. "In-Vehicle Avatars to Elicit Social Response and Change Driving Behaviour," International Journal of Technology and Human Interaction (IJTHI), IGI Global, vol. 5(4), pages 80-104, October.
    28. Dziekan, Katrin & Kottenhoff, Karl, 2007. "Dynamic at-stop real-time information displays for public transport: effects on customers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(6), pages 489-501, July.
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    More about this item

    Keywords

    Public transport innovation; Passenger-centric innovation; Service quality; Experience economy; Affective design; Interaction design;
    All these keywords.

    JEL classification:

    • L9 - Industrial Organization - - Industry Studies: Transportation and Utilities
    • L92 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Railroads and Other Surface Transportation
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics
    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General

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