IDEAS home Printed from https://ideas.repec.org/a/sot/journl/y2007i37p78-92.html
   My bibliography  Save this article

Choice of departure station by railway users

Author

Listed:
  • Debrezion, Ghebreegziabiher
  • Pels, E.
  • Rietveld, Piet

Abstract

This paper applies a multinomial logit model to the choice of a departure railway station by Dutch railway passengers. This is a relevant theme since about 50% of Dutch railway passengers do not travel via the nearest railway station. The passengers’ choices for departure stations are aggregated at the four digit postal code area level. We applied three functional forms for the underlying systematic utility of a station, namely a linear effect of attributes, cross effect of distance and frequency of service, and a translog formulation on distance and frequency of train services. With 3,498 post code areas and 360 railway stations our analysis found consistent effect sizes for distance, frequency of service, intercity status of the station and the presence of park-and-ride facility on the choice of departure station. The effect of distance on the choice of a departure station declines smoothly. The effect of frequency of service is relatively small compared to the effect of distance. A frequency of service increase by a hundred trains per day is equivalent to being 600 m closer to the station. The Intercity status of the station plays the biggest role in the choice of departure station. It has an equivalent effect of a change in 2 km distance or about a frequency of service of 300 trains per day. In addition, the presence of park-and-ride facility in the station poses a sizable effect in the departure station choice. In most cases its effect reaches about 35% of the intercity status effect.

Suggested Citation

  • Debrezion, Ghebreegziabiher & Pels, E. & Rietveld, Piet, 2007. "Choice of departure station by railway users," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 37, pages 78-92.
  • Handle: RePEc:sot:journl:y:2007:i:37:p:78-92
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10077/5959
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pels, Eric & Nijkamp, Peter & Rietveld, Piet, 2003. "Access to and competition between airports: a case study for the San Francisco Bay area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(1), pages 71-83, January.
    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. Vincent Chakour & Naveen Eluru, 2014. "Analyzing commuter train user behavior: a decision framework for access mode and station choice," Transportation, Springer, vol. 41(1), pages 211-228, January.
    2. Hasnine, Md Sami & Graovac, Ana & Camargo, Felipe & Habib, Khandker Nurul, 2019. "A random utility maximization (RUM) based measure of accessibility to transit: Accurate capturing of the first-mile issue in urban transit," Journal of Transport Geography, Elsevier, vol. 74(C), pages 313-320.
    3. Lin, Ting (Grace) & Xia, Jianhong (Cecilia) & Robinson, Todd P. & Goulias, Konstadinos G. & Church, Richard L. & Olaru, Doina & Tapin, John & Han, Renlong, 2014. "Spatial analysis of access to and accessibility surrounding train stations: a case study of accessibility for the elderly in Perth, Western Australia," Journal of Transport Geography, Elsevier, vol. 39(C), pages 111-120.
    4. Lin, Ting (Grace) & Xia, Jianhong (Cecilia) & Robinson, Todd P. & Olaru, Doina & Smith, Brett & Taplin, John & Cao, Buyang, 2016. "Enhanced Huff model for estimating Park and Ride (PnR) catchment areas in Perth, WA," Journal of Transport Geography, Elsevier, vol. 54(C), pages 336-348.
    5. Chakour, Vincent & Eluru, Naveen, 2016. "Examining the influence of stop level infrastructure and built environment on bus ridership in Montreal," Journal of Transport Geography, Elsevier, vol. 51(C), pages 205-217.
    6. Hao Pang & Alireza Khani, 2018. "Modeling park-and-ride location choice of heterogeneous commuters," Transportation, Springer, vol. 45(1), pages 71-87, January.

    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. Beria, Paolo & Laurino, Antonio, 2016. "Determinants of daily fluctuations in air passenger volumes. The effect of events and holidays on Milan Malpensa airport," Journal of Air Transport Management, Elsevier, vol. 53(C), pages 73-84.
    2. Cho, Woohyun & Windle, Robert J. & Dresner, Martin E., 2017. "The impact of operational exposure and value-of-time on customer choice: Evidence from the airline industry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 455-471.
    3. Xia, Wenyi & Jiang, Changmin & Wang, Kun & Zhang, Anming, 2019. "Air-rail revenue sharing in a multi-airport system: Effects on traffic and social welfare," Transportation Research Part B: Methodological, Elsevier, vol. 121(C), pages 304-319.
    4. Jiang, Changmin & Zhang, Anming, 2015. "Airport congestion pricing and terminal investment: Effects of terminal congestion, passenger types, and concessionsAuthor-Name: Wan, Yulai," Transportation Research Part B: Methodological, Elsevier, vol. 82(C), pages 91-113.
    5. Basso, Leonardo J. & Zhang, Anming, 2007. "Congestible facility rivalry in vertical structures," Journal of Urban Economics, Elsevier, vol. 61(2), pages 218-237, March.
    6. Richard Fabling & Arthur Grimes & Lynda Sanderson, 2011. "Any port in a storm? The impact of new port infrastructure on New Zealand exporter behaviour," Reserve Bank of New Zealand Discussion Paper Series DP2011/01, Reserve Bank of New Zealand.
    7. Nakagawa, Dai & Aoyama, Yoshitaka & Ito, Tadashi & Nishizawa, Hiroyuki, 2005. "Assessment of passenger benefits brought about by international airport projects," Transport Policy, Elsevier, vol. 12(6), pages 512-524, November.
    8. Bringmann, Katja & De Langhe, Katrien & Kupfer, Franziska & Sys, Christa & Van de Voorde, Eddy & Vanelslander, Thierry, 2018. "Cooperation between airports: A focus on the financial intertwinement of European airport operators," Journal of Air Transport Management, Elsevier, vol. 69(C), pages 59-71.
    9. Yazdanpanah, Mahdi & Hosseinlou, Mansour Hadji, 2016. "The influence of personality traits on airport public transport access mode choice: A hybrid latent class choice modeling approach," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 147-163.
    10. Stephane Hess, 2005. "Analysing air-travel choice behaviour in the Greater London area," ERSA conference papers ersa05p736, European Regional Science Association.
    11. de Palma, André & Ordás Criado, Carlos & Randrianarisoa, Laingo M., 2018. "When Hotelling meets Vickrey. Service timing and spatial asymmetry in the airline industry," Journal of Urban Economics, Elsevier, vol. 105(C), pages 88-106.
    12. Cho, Woohyun & Windle, Robert J. & Dresner, Martin E., 2015. "The impact of low-cost carriers on airport choice in the US: A case study of the Washington–Baltimore region," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 81(C), pages 141-157.
    13. Guido Perboli & Marco Ghirardi & Luca Gobbato & Francesca Perfetti, 2015. "Flights and Their Economic Impact on the Airport Catchment Area: An Application to the Italian Tourist Market," Journal of Optimization Theory and Applications, Springer, vol. 164(3), pages 1109-1133, March.
    14. Seelhorst, Michael & Liu, Yi, 2015. "Latent air travel preferences: Understanding the role of frequent flyer programs on itinerary choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 49-61.
    15. Usami, Munekatsu & Manabe, Masashi & Kimura, Shin, 2017. "Airport choice and flight connectivity among domestic and international passengers – Empirical analysis using passenger movement survey data in Japan," Journal of Air Transport Management, Elsevier, vol. 58(C), pages 15-20.
    16. Fabio Carlucci & Andrea Cirà, 2011. "Sostenibilità istituzionale nelle scelte infrastrutturali per il trasporto aereo: il caso degli aeroporti minori," Working Papers 1102, SIET Società Italiana di Economia dei Trasporti e della Logistica.
    17. Gelhausen, Marc Christopher, 2006. "Flughafen- und Zugangsverkehrsmittelwahl in Deutschland - Ein verallgemeinerter Nested Logit-Ansatz," MPRA Paper 16002, University Library of Munich, Germany.
    18. André De Palma & Fay Dunkerley & Stef Proost, 2005. "Asymmetric Duopoly in Space - what policies work?," ERSA conference papers ersa05p494, European Regional Science Association.
    19. Zhang, Yunlong & Xie, Yuanchang, 2005. "Small community airport choice behavior analysis: A case study of GTR," Journal of Air Transport Management, Elsevier, vol. 11(6), pages 442-447.
    20. Noto, Claudio, 2020. "Airport slots, secondary trading, and congestion pricing at an airport with a dominant network airline," Research in Transportation Economics, Elsevier, vol. 79(C).

    More about this item

    Keywords

    Railway station choice; Logit model;

    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:sot:journl:y:2007:i:37:p:78-92. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Romeo Danielis). General contact details of provider: https://edirc.repec.org/data/xxxxxxx.html .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.