IDEAS home Printed from https://ideas.repec.org/a/taf/transp/v39y2016i1p97-114.html
   My bibliography  Save this article

The effects of mobile real-time information on rural passengers

Author

Listed:
  • Konstantinos Papangelis
  • John D. Nelson
  • Somayajulu Sripada
  • Mark Beecroft

Abstract

Mobile real-time passenger information (RTPI) systems are becoming ubiquitous in public transport and a plethora of studies have explored the effects they have on passengers. However, these studies mostly focus on urban areas and largely ignore rural dwellers. In this paper, we present results of a study that looks into the effects that mobile RTPI has on passengers in rural areas. The results indicate that the participants primarily used the mobile RTPI system to gain situation and geospatial awareness and to adapt their travel behaviour in disrupted circumstances. Further, we have identified that mobile RTPI significantly affects the everyday public transport travel of individuals. The outcomes of this study provide an initial understanding of the effects of a mobile RTPI system on rural users.

Suggested Citation

  • Konstantinos Papangelis & John D. Nelson & Somayajulu Sripada & Mark Beecroft, 2016. "The effects of mobile real-time information on rural passengers," Transportation Planning and Technology, Taylor & Francis Journals, vol. 39(1), pages 97-114, February.
    • Handle: RePEc:taf:transp:v:39:y:2016:i:1:p:97-114
    DOI: 10.1080/03081060.2015.1108085
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03081060.2015.1108085
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/03081060.2015.1108085?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. 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.
    2. Watkins, Kari Edison & Ferris, Brian & Borning, Alan & Rutherford, G. Scott & Layton, David, 2011. "Where Is My Bus? Impact of mobile real-time information on the perceived and actual wait time of transit riders," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(8), pages 839-848, October.
    3. 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.
    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. Pascal Un & Sonia Adelé & Flore Vallet & Jean-Marie Burkhardt, 2022. "How Does My Train Line Run? Elicitation of Six Information-Seeking Profiles of Regular Suburban Train Users," Sustainability, MDPI, vol. 14(5), pages 1-22, February.
    2. Liu, Luyu & Miller, Harvey J., 2020. "Does real-time transit information reduce waiting time? An empirical analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 167-179.
    3. Mulley, Corinne & Clifton, Geoffrey Tilden & Balbontin, Camila & Ma, Liang, 2017. "Information for travelling: Awareness and usage of the various sources of information available to public transport users in NSW," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 111-132.

    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. Mulley, Corinne & Clifton, Geoffrey Tilden & Balbontin, Camila & Ma, Liang, 2017. "Information for travelling: Awareness and usage of the various sources of information available to public transport users in NSW," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 111-132.
    2. Anne Brown & Whitney LaValle, 2021. "Hailing a change: comparing taxi and ridehail service quality in Los Angeles," Transportation, Springer, vol. 48(2), pages 1007-1031, April.
    3. Kuo, Pei-Fen & Lord, Dominique, 2013. "Accounting for site-selection bias in before–after studies for continuous distributions: Characteristics and application using speed data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 256-269.
    4. Zhou, Chang & Tian, Qiong & Wang, David Z.W., 2022. "A novel control strategy in mitigating bus bunching: Utilizing real-time information," Transport Policy, Elsevier, vol. 123(C), pages 1-13.
    5. Van Acker, Veronique & Ho, Loan & Mulley, Corinne, 2021. "“Satisfaction lies in the effort”. Is Gandhi’s quote also true for satisfaction with commuting?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 151(C), pages 214-227.
    6. 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.
    7. Cats, Oded & Loutos, Gerasimos, 2016. "Evaluating the added-value of online bus arrival prediction schemes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 35-55.
    8. Daganzo, Carlos & Anderson, Paul, 2016. "Coordinating Transit Transfers in Real Time," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt25h4r974, Institute of Transportation Studies, UC Berkeley.
    9. Leng, Nuannuan & Corman, Francesco, 2020. "The role of information availability to passengers in public transport disruptions: An agent-based simulation approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 214-236.
    10. Alfred Andersson & Lena Winslott Hiselius & Jessica Berg & Sonja Forward & Peter Arnfalk, 2020. "Evaluating a Mobility Service Application for Business Travel: Lessons Learnt from a Demonstration Project," Sustainability, MDPI, vol. 12(3), pages 1-18, January.
    11. Marina Lagune-Reutler & Andrew Guthrie & Yingling Fan & David Levinson, 2015. "Transit Riders' Perception of Waiting Time and Stops' Surrounding Environments," Working Papers 000142, University of Minnesota: Nexus Research Group.
    12. Matsumoto, Takayuki & Hidaka, Kazuyoshi, 2015. "Evaluation the effect of mobile information services for public transportation through the empirical research on commuter trains," Technology in Society, Elsevier, vol. 43(C), pages 144-158.
    13. Thierry Blayac & Maïté Stéphan, 2022. "Travel information provision and commuter behavior changes: Evidence from a french metropolis," Post-Print hal-03649092, HAL.
    14. Cats, Oded & Loutos, Gerasimos, 2013. "Real-time bus arrival information system: an empirical evaluation," Working papers in Transport Economics 2013:25, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    15. Kari Watkins & Alan Borning & G. Rutherford & Brian Ferris & Brian Gill, 2013. "Attitudes of bus operators towards real-time transit information tools," Transportation, Springer, vol. 40(5), pages 961-980, September.
    16. Giacomo Lozzi & Valerio Gatta & Edoardo Marcucci, 2018. "European urban freight transport policies and research funding: are priorities and H2020 calls aligned?," REGION, European Regional Science Association, vol. 5, pages 53-71.
    17. Wen Hua & Ghim Ping Ong, 2018. "Effect of information contagion during train service disruption for an integrated rail-bus transit system," Public Transport, Springer, vol. 10(3), pages 571-594, December.
    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. Yingling Fan & Andrew Guthrie & David Levinson, 2015. "Perception of Waiting Time at Transit Stops and Stations," Working Papers 000127, University of Minnesota: Nexus Research Group.
    20. Jesper Bláfoss Ingvardson & Otto Anker Nielsen, 2022. "The influence of vicinity to stations, station characteristics and perceived safety on public transport mode choice: a case study from Copenhagen," Public Transport, Springer, vol. 14(2), pages 459-480, June.

    More about this item

    Statistics

    Access and download statistics

    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:taf:transp:v:39:y:2016:i:1:p:97-114. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/GTPT20 .

    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.