IDEAS home Printed from https://ideas.repec.org/p/wiw/wus009/8577.html
   My bibliography  Save this paper

Environmental Concern and the Determinants of Night Train Use: Evidence from Vienna (Austria)

Author

Listed:
  • Buh, Brian
  • Peer, Stefanie

Abstract

This paper investigates which factors determine the intention to take a night train, emphasizing the role of environmental concern. We employ a Theory of Planned Behavior framework. We built a survey based on elicitation study, which resulted in an online survey being conducted on a convenience sample in Vienna (Austria). Our results show that in particular environmental concern and familiarity with night train services play a significant role in the formation of the intention to take a night train. Among the significant factors that are associated with a high intention to take a night train are the belief that night trains are comfortable, that one can save the cost of a night in a hotel, and that night trains tend to arrive at and depart from the city center. Factors that deter travelers from taking a night train include a high price, the sharing of cabins, and long travel times.

Suggested Citation

  • Buh, Brian & Peer, Stefanie, 2022. "Environmental Concern and the Determinants of Night Train Use: Evidence from Vienna (Austria)," SRE-Discussion Papers 02/2022, WU Vienna University of Economics and Business.
  • Handle: RePEc:wiw:wus009:8577
    as

    Download full text from publisher

    File URL: https://epub.wu.ac.at/8577/
    File Function: original version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Mokhtarian, Patricia L. & Cao, Xinyu, 2008. "Examining the impacts of residential self-selection on travel behavior: A focus on methodologies," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 204-228, March.
    2. Lena Nerhagen, 2003. "Travel Mode Choice: Effects of Previous Experience on Choice Behaviour and Valuation," Tourism Economics, , vol. 9(1), pages 5-30, March.
    3. 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.
    4. Jara-Díaz, Sergio R. & Rosales-Salas, Jorge, 2020. "Time use: The role of sleep," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 1-20.
    5. Jara-Diaz, Sergio, 2020. "Transport and time use: The values of leisure, work and travel," Transport Policy, Elsevier, vol. 86(C), pages 7-13.
    6. Christin Hoffmann & Charles Abraham & Mathew P. White & Susan Ball & Stephen M. Skippon, 2017. "What cognitive mechanisms predict travel mode choice? A systematic review with meta-analysis," Transport Reviews, Taylor & Francis Journals, vol. 37(5), pages 631-652, September.
    7. Pan, Jing Yu & Truong, Dothang, 2018. "Passengers’ intentions to use low-cost carriers: An extended theory of planned behavior model," Journal of Air Transport Management, Elsevier, vol. 69(C), pages 38-48.
    Full references (including those not matched with items on IDEAS)

    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. Kim, Seheon & Rasouli, Soora, 2022. "The influence of latent lifestyle on acceptance of Mobility-as-a-Service (MaaS): A hierarchical latent variable and latent class approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 304-319.
    2. 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.
    3. Strömblad, Emma, 2024. "Identifying mobility segments for leisure travel: A cluster analysis based on a one-month travel survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
    4. Schmid, Basil & Molloy, Joseph & Peer, Stefanie & Jokubauskaite, Simona & Aschauer, Florian & Hössinger, Reinhard & Gerike, Regine & Jara-Diaz, Sergio R. & Axhausen, Kay W., 2021. "The value of travel time savings and the value of leisure in Zurich: Estimation, decomposition and policy implications," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 186-215.
    5. Rahman, Moshiur & Yasmin, Shamsunnahar & Eluru, Naveen, 2019. "Controlling for endogeneity between bus headway and bus ridership: A case study of the Orlando region," Transport Policy, Elsevier, vol. 81(C), pages 208-219.
    6. 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.
    7. Ding, Yu & Lu, Huapu, 2016. "Activity participation as a mediating variable to analyze the effect of land use on travel behavior: A structural equation modeling approach," Journal of Transport Geography, Elsevier, vol. 52(C), pages 23-28.
    8. Chetan Doddamani & M. Manoj, 2023. "Analysis of the influences of built environment measures on household car and motorcycle ownership decisions in Hubli-Dharwad cities," Transportation, Springer, vol. 50(1), pages 205-243, February.
    9. Singh, Abhilash C. & Faghih Imani, Ahmadreza & Sivakumar, Aruna & Luna Xi, Yang & Miller, Eric J., 2024. "A joint analysis of accessibility and household trip frequencies by travel mode," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
    10. Lars E. Olsson & Jana Huck & Margareta Friman, 2018. "Intention for Car Use Reduction: Applying a Stage-Based Model," IJERPH, MDPI, vol. 15(2), pages 1-14, January.
    11. Ibraeva, Anna & Correia, Gonçalo Homem de Almeida & Silva, Cecília & Antunes, António Pais, 2020. "Transit-oriented development: A review of research achievements and challenges," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 110-130.
    12. Lin, Tao & Wang, Donggen & Zhou, Meng, 2018. "Residential relocation and changes in travel behavior: what is the role of social context change?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 360-374.
    13. Qing Su, 2017. "Travel Demand Management Policy Instruments, Urban Spatial Characteristics, and Household Greenhouse Gas Emissions from Travel in the US Urban Areas," International Journal of Energy Economics and Policy, Econjournals, vol. 7(3), pages 157-166.
    14. Bert Van Wee & David Banister, 2016. "How to Write a Literature Review Paper?," Transport Reviews, Taylor & Francis Journals, vol. 36(2), pages 278-288, March.
    15. van de Coevering, Paul & Maat, Kees & van Wee, Bert, 2018. "Residential self-selection, reverse causality and residential dissonance. A latent class transition model of interactions between the built environment, travel attitudes and travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 466-479.
    16. Weis, Claude & Axhausen, Kay W., 2009. "Induced travel demand: Evidence from a pseudo panel data based structural equations model," Research in Transportation Economics, Elsevier, vol. 25(1), pages 8-18.
    17. Xinyu (Jason) Cao, 2009. "Disentangling the influence of neighborhood type and self-selection on driving behavior: an application of sample selection model," Transportation, Springer, vol. 36(2), pages 207-222, March.
    18. Faizeh Hatami & Jean-Claude Thill, 2022. "Spatiotemporal Evaluation of the Built Environment’s Impact on Commuting Duration," Sustainability, MDPI, vol. 14(12), pages 1-19, June.
    19. Zhiwei Liu & Jianrong Liu, 2023. "Shared Autonomous Vehicles as Last-Mile Public Transport of Metro Trips," Sustainability, MDPI, vol. 15(19), pages 1-15, October.
    20. Stefan Boes & Stephan Nüesch & Steven Stillman, 2013. "Aircraft Noise, Health, And Residential Sorting: Evidence From Two Quasi‐Experiments," Health Economics, John Wiley & Sons, Ltd., vol. 22(9), pages 1037-1051, September.

    More about this item

    Keywords

    Environmental Concern; Mode Choice; Night Trains; Theory of Planned Behavior; Long-distance travel;
    All these keywords.

    JEL classification:

    • N74 - Economic History - - Economic History: Transport, International and Domestic Trade, Energy, and Other Services - - - Europe: 1913-
    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General
    • L92 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Railroads and Other Surface Transportation
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics
    • D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:wiw:wus009:8577. 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: WU Library (email available below). General contact details of provider: https://research.wu.ac.at/ .

    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.