IDEAS home Printed from https://ideas.repec.org/a/kap/transp/v52y2025i5d10.1007_s11116-024-10481-w.html
   My bibliography  Save this article

Determinants of irregular demand for regional rail passenger services – case study of High Tatras in Slovakia

Author

Listed:
  • Martin Kendra

    (University of Žilina)

  • Oľga Blažeková

    (University of Žilina)

  • Mária Vojteková

    (University of Žilina)

Abstract

The demand for public transport by tourists increases significantly in tourist-attractive destinations. This is in addition to regular passengers commuting to school and work. The level of irregular demand is influenced by several factors related to the characteristics of the day of the week, the period of the year, and the current weather. The main goal of the paper is to verify which factors most influence the irregular demand for transport in a tourist-attractive area to ensure operational planning of public passenger transport. Thanks to this, it is possible to ensure sufficient capacity and, at the same time, the efficiency of the operation of public passenger transport. The paper analyzes the main determinants of the irregular demand for regional public rail passenger transport in the High Tatras region of Slovakia. Multiple linear regressions were used to model the number of irregular passengers. The variables representing the day of the week, the attractiveness of the period, and the holiday were found to be the most significant. The variables describing the weather such as maximum daily temperature, precipitation, clouds, and wind had less influence. The obtained mathematical models for forecasting the irregular demand for public passenger transport can help optimize the timetable’s operational setting and the train sets’ size.

Suggested Citation

  • Martin Kendra & Oľga Blažeková & Mária Vojteková, 2025. "Determinants of irregular demand for regional rail passenger services – case study of High Tatras in Slovakia," Transportation, Springer, vol. 52(5), pages 1957-1973, October.
    • Handle: RePEc:kap:transp:v:52:y:2025:i:5:d:10.1007_s11116-024-10481-w
    DOI: 10.1007/s11116-024-10481-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11116-024-10481-w
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11116-024-10481-w?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Lars Böcker & Martin Dijst & Jan Prillwitz, 2013. "Impact of Everyday Weather on Individual Daily Travel Behaviours in Perspective: A Literature Review," Transport Reviews, Taylor & Francis Journals, vol. 33(1), pages 71-91, January.
    2. Rahman, Syed & Balijepalli, Chandra, 2016. "Understanding the determinants of demand for public transport: Evidence from suburban rail operations in five divisions of Indian Railways," Transport Policy, Elsevier, vol. 48(C), pages 13-22.
    3. Liu, Chengxi & Susilo, Yusak O. & Karlström, Anders, 2014. "Examining the impact of weather variability on non-commuters’ daily activity–travel patterns in different regions of Sweden," Journal of Transport Geography, Elsevier, vol. 39(C), pages 36-48.
    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. Wessel, Jan, 2020. "Using weather forecasts to forecast whether bikes are used," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 537-559.
    2. Liu, Chengxi & Susilo, Yusak O. & Karlström, Anders, 2015. "Investigating the impacts of weather variability on individual’s daily activity–travel patterns: A comparison between commuters and non-commuters in Sweden," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 47-64.
    3. Chengxi Liu & Yusak O. Susilo & Anders Karlström, 2017. "Weather variability and travel behaviour – what we know and what we do not know," Transport Reviews, Taylor & Francis Journals, vol. 37(6), pages 715-741, November.
    4. Bardal, Kjersti Granås, 2017. "Impacts of adverse weather on Arctic road transport," Journal of Transport Geography, Elsevier, vol. 59(C), pages 49-58.
    5. Gu, Tianqi & Kim, Inhi & Currie, Graham, 2019. "To be or not to be dockless: Empirical analysis of dockless bikeshare development in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 122-147.
    6. Ashley R. Coles & Kyle E. Walker, 2021. "Assessing motorist behavior during flash floods in Tucson, Arizona," Transportation, Springer, vol. 48(6), pages 3037-3057, December.
    7. An, Ran & Zahnow, Renee & Pojani, Dorina & Corcoran, Jonathan, 2019. "Weather and cycling in New York: The case of Citibike," Journal of Transport Geography, Elsevier, vol. 77(C), pages 97-112.
    8. Ingvardson, Jesper Bláfoss & Nielsen, Otto Anker, 2018. "How urban density, network topology and socio-economy influence public transport ridership: Empirical evidence from 48 European metropolitan areas," Journal of Transport Geography, Elsevier, vol. 72(C), pages 50-63.
    9. Hong, Jinhyun & Philip McArthur, David & Stewart, Joanna L., 2020. "Can providing safe cycling infrastructure encourage people to cycle more when it rains? The use of crowdsourced cycling data (Strava)," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 109-121.
    10. Kapitza, Jonas, 2022. "How people get to work at night. A discrete choice model approach towards the influence of nighttime on the choice of transport mode for commuting to work," Journal of Transport Geography, Elsevier, vol. 104(C).
    11. Kashfi, Syeed Anta & Bunker, Jonathan M. & Yigitcanlar, Tan, 2015. "Understanding the effects of complex seasonality on suburban daily transit ridership," Journal of Transport Geography, Elsevier, vol. 46(C), pages 67-80.
    12. Wadud, Zia, 2014. "Cycling in a changed climate," Journal of Transport Geography, Elsevier, vol. 35(C), pages 12-20.
    13. Abenoza, Roberto F. & Cats, Oded & Susilo, Yusak O., 2017. "Travel satisfaction with public transport: Determinants, user classes, regional disparities and their evolution," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 64-84.
    14. Benita, Francisco, 2020. "Carpool to work: Determinants at the county-level in the United States," Journal of Transport Geography, Elsevier, vol. 87(C).
    15. Yiwei Zhou & Haozhe Wang & Shiyu Chen & Jiakai Jiang & Ziyuan Wang & Weiwei Liu, 2025. "Investigating Holiday Subway Travel Flows with Spatial Correlations Using Mobile Payment Data: A Case Study of Hangzhou," Sustainability, MDPI, vol. 17(13), pages 1-26, June.
    16. Kimpton, Anthony & Loginova, Julia & Pojani, Dorina & Bean, Richard & Sigler, Thomas & Corcoran, Jonathan, 2022. "Weather to scoot? How weather shapes shared e-scooter ridership patterns," Journal of Transport Geography, Elsevier, vol. 104(C).
    17. Wei, Ming & Liu, Yan & Sigler, Thomas & Liu, Xiaoyang & Corcoran, Jonathan, 2019. "The influence of weather conditions on adult transit ridership in the sub-tropics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 125(C), pages 106-118.
    18. Yuan, Yali & Yang, Xiaobao & Song, Dongdong & Yue, Xianfei & Cui, Pengfei, 2025. "Bivariate joint analysis of intercity travelers' adaptive behaviors during adverse weather events," Transportation Research Part A: Policy and Practice, Elsevier, vol. 195(C).
    19. Miao, Qing & Welch, Eric W. & Sriraj, P.S., 2019. "Extreme weather, public transport ridership and moderating effect of bus stop shelters," Journal of Transport Geography, Elsevier, vol. 74(C), pages 125-133.
    20. Guangwei Huang, 2018. "Enhancing Dialogue between Flood Risk Management and Road Engineering Sectors for Flood Risk Reduction," Sustainability, MDPI, vol. 10(6), pages 1-15, May.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:kap:transp:v:52:y:2025:i:5:d:10.1007_s11116-024-10481-w. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.