IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v95y2017icp34-48.html
   My bibliography  Save this article

The role of information systems in non-routine transit use of university students: Evidence from Brazil and Denmark

Author

Listed:
  • Kaplan, Sigal
  • Moraes Monteiro, Mayara
  • Anderson, Marie Karen
  • Nielsen, Otto Anker
  • Medeiros Dos Santos, Enilson

Abstract

In this study we seek to understand the relation between travel information, transit use intentions and night travel. We hypothesize that transit use is related to the perceived usefulness and the ease-of-use of the system, which are related to information quality and real-time information availability. The hypothesized relations are anchored theoretically in the Technology Acceptance Model and validated empirically in two case-studies: (i) Copenhagen (Denmark), characterized by a highly integrated transit system with an advanced web-based information system; (ii) Recife and Natal (Brazil), characterized by a lower perceived level-of-service and non-integrated information sources. Data from a tailor-made survey of 1123 university students were collected. Structural equation models were employed for explaining the use of transit as a function of the observed respondent characteristics and the latent constructs. The results show that: (i) information search quality and source explain transit use; (ii) information quality underlies level-of-service and familiarity; (iii) the use of real-time information links to information quality and familiarity; (iv) general transit use and non-routine use during night and to unfamiliar places are correlated; and (v) the behavioral framework is confirmed with the two case-studies.

Suggested Citation

  • Kaplan, Sigal & Moraes Monteiro, Mayara & Anderson, Marie Karen & Nielsen, Otto Anker & Medeiros Dos Santos, Enilson, 2017. "The role of information systems in non-routine transit use of university students: Evidence from Brazil and Denmark," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 34-48.
    • Handle: RePEc:eee:transa:v:95:y:2017:i:c:p:34-48
    DOI: 10.1016/j.tra.2016.10.029
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856416300404
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tra.2016.10.029?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. Golob, Thomas F., 2003. "Structural equation modeling for travel behavior research," Transportation Research Part B: Methodological, Elsevier, vol. 37(1), pages 1-25, January.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Tobias Kuhnimhof & Jimmy Armoogum & Ralph Buehler & Joyce Dargay & Jon Martin Denstadli & Toshiyuki Yamamoto, 2012. "Men Shape a Downward Trend in Car Use among Young Adults—Evidence from Six Industrialized Countries," Transport Reviews, Taylor & Francis Journals, vol. 32(6), pages 761-779, September.
    4. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    5. Spears, Steven & Houston, Douglas & Boarnet, Marlon G., 2013. "Illuminating the unseen in transit use: A framework for examining the effect of attitudes and perceptions on travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 58(C), pages 40-53.
    6. de Oña, Juan & de Oña, Rocío & Eboli, Laura & Mazzulla, Gabriella, 2013. "Perceived service quality in bus transit service: A structural equation approach," Transport Policy, Elsevier, vol. 29(C), pages 219-226.
    7. Şimşekoğlu, Özlem & Nordfjærn, Trond & Rundmo, Torbjørn, 2015. "The role of attitudes, transport priorities, and car use habit for travel mode use and intentions to use public transportation in an urban Norwegian public," Transport Policy, Elsevier, vol. 42(C), pages 113-120.
    8. Kaplan, Sigal & de Abreu e Silva, João & Di Ciommo, Floridea, 2014. "The relationship between young people׳s transit use and their perceptions of equity concepts in transit service provision," Transport Policy, Elsevier, vol. 36(C), pages 79-87.
    9. Farag, Sendy & Lyons, Glenn, 2012. "To use or not to use? An empirical study of pre-trip public transport information for business and leisure trips and comparison with car travel," Transport Policy, Elsevier, vol. 20(C), pages 82-92.
    10. Nielsen, Otto Anker, 2000. "A stochastic transit assignment model considering differences in passengers utility functions," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 377-402, June.
    11. Robert Schlich & Kay Axhausen, 2003. "Habitual travel behaviour: Evidence from a six-week travel diary," Transportation, Springer, vol. 30(1), pages 13-36, February.
    12. Brakewood, Candace & Barbeau, Sean & Watkins, Kari, 2014. "An experiment evaluating the impacts of real-time transit information on bus riders in Tampa, Florida," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 409-422.
    13. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    14. 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.
    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. Khan, Nazmul Arefin & Habib, Muhammad Ahsanul & Jamal, Shaila, 2020. "Effects of smartphone application usage on mobility choices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 932-947.
    2. Sanjay Gupta & Kushagra Sinha, 2022. "Assessing the Factors Impacting Transport Usage of Mobility App Users in the National Capital Territory of Delhi, India," Sustainability, MDPI, vol. 14(21), pages 1-20, October.
    3. Liping Ge & Malek Sarhani & Stefan Voß & Lin Xie, 2021. "Review of Transit Data Sources: Potentials, Challenges and Complementarity," Sustainability, MDPI, vol. 13(20), pages 1-37, October.

    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. Ingvardson, Jesper Bláfoss & Nielsen, Otto Anker, 2019. "The relationship between norms, satisfaction and public transport use: A comparison across six European cities using structural equation modelling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 37-57.
    2. Jesper Bláfoss Ingvardson & Sigal Kaplan & João de Abreu e Silva & Floridea Ciommo & Yoram Shiftan & Otto Anker Nielsen, 2020. "Existence, relatedness and growth needs as mediators between mode choice and travel satisfaction: evidence from Denmark," Transportation, Springer, vol. 47(1), pages 337-358, February.
    3. Lu, Chin-Shan & Lai, Kee-hung & Cheng, T.C.E., 2007. "Application of structural equation modeling to evaluate the intention of shippers to use Internet services in liner shipping," European Journal of Operational Research, Elsevier, vol. 180(2), pages 845-867, July.
    4. Xuemei Fu & Zhicai Juan, 2016. "Empirical analysis and comparisons about time-allocation patterns across segments based on mode-specific preferences," Transportation, Springer, vol. 43(1), pages 37-51, January.
    5. 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.
    6. Jonas De Vos & Long Cheng & Frank Witlox, 2021. "Do changes in the residential location lead to changes in travel attitudes? A structural equation modeling approach," Transportation, Springer, vol. 48(4), pages 2011-2034, August.
    7. Chee, Pei Nen Esther & Susilo, Yusak O. & Wong, Yiik Diew, 2020. "Determinants of intention-to-use first-/last-mile automated bus service," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 350-375.
    8. Kaplan, Sigal & Gruber, Johannes & Reinthaler, Martin & Klauenberg, Jens, 2016. "Intentions to introduce electric vehicles in the commercial sector: A model based on the theory of planned behaviour," Research in Transportation Economics, Elsevier, vol. 55(C), pages 12-19.
    9. López, Rafael & Valarezo, Ángel & Pérez-Amaral, Teodosio, 2021. "Online education adoption in Spain 2008-2019. Drivers and impediments," 23rd ITS Biennial Conference, Online Conference / Gothenburg 2021. Digital societies and industrial transformations: Policies, markets, and technologies in a post-Covid world 238038, International Telecommunications Society (ITS).
    10. Ahmad Nazrul Hakimi Ibrahim & Muhamad Nazri Borhan & Nor Aznirahani Mhd Yunin, 2020. "Getting Young Drivers to Buckle Up: Exploring the Factors Influencing Seat Belt Use by Young Drivers in Malaysia," Sustainability, MDPI, vol. 13(1), pages 1-15, December.
    11. Matthias N. Sweet & Kailey Laidlaw, 2020. "No longer in the driver’s seat: How do affective motivations impact consumer interest in automated vehicles?," Transportation, Springer, vol. 47(5), pages 2601-2634, October.
    12. Xuemei Fu & Zhicai Juan, 2016. "Empirical analysis and comparisons about time-allocation patterns across segments based on mode-specific preferences," Transportation, Springer, vol. 43(1), pages 37-51, January.
    13. Dan Wan & Camille Kamga & Wei Hao & Aaron Sugiura & Eric B. Beaton, 2016. "Customer satisfaction with bus rapid transit: a study of New York City select bus service applying structural equation modeling," Public Transport, Springer, vol. 8(3), pages 497-520, December.
    14. Jesús García & Rosa Arroyo & Lidón Mars & Tomás Ruiz, 2019. "The Influence of Attitudes towards Cycling and Walking on Travel Intentions and Actual Behavior," Sustainability, MDPI, vol. 11(9), pages 1-17, May.
    15. Muhammad Ahmad Al-Rashid & Muhammad Nadeem & Tiziana Campisi & Yong Adilah Shamsul Harumain & Hong Ching Goh, 2022. "How Do Psychosocial Barriers Shape Public Transport Use? A Mixed-Method Study among Older Adults in Pakistan," Sustainability, MDPI, vol. 14(19), pages 1-20, September.
    16. Debora Bettiga & Lucio Lamberti & Emanuele Lettieri, 2020. "Individuals’ adoption of smart technologies for preventive health care: a structural equation modeling approach," Health Care Management Science, Springer, vol. 23(2), pages 203-214, June.
    17. Yu Wang & Shanyong Wang & Jing Wang & Jiuchang Wei & Chenglin Wang, 2020. "An empirical study of consumers’ intention to use ride-sharing services: using an extended technology acceptance model," Transportation, Springer, vol. 47(1), pages 397-415, February.
    18. Paul Juinn Bing Tan, 2013. "Applying the UTAUT to Understand Factors Affecting the Use of English E-Learning Websites in Taiwan," SAGE Open, , vol. 3(4), pages 21582440135, October.
    19. Allen, Jaime & Eboli, Laura & Forciniti, Carmen & Mazzulla, Gabriella & Ortúzar, Juan de Dios, 2019. "The role of critical incidents and involvement in transit satisfaction and loyalty," Transport Policy, Elsevier, vol. 75(C), pages 57-69.
    20. Peter Mantello & Manh-Tung Ho & Minh-Hoang Nguyen & Quan-Hoang Vuong, 2023. "Machines that feel: behavioral determinants of attitude towards affect recognition technology—upgrading technology acceptance theory with the mindsponge model," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.

    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:95:y:2017:i:c:p:34-48. 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.