IDEAS home Printed from https://ideas.repec.org/p/tin/wpaper/20070012.html
   My bibliography  Save this paper

Modelling the Joint Access Mode and Railway Station Choice

Author

Listed:
  • Ghebreegziabiher Debrezion

    () (Vrije Universiteit Amsterdam)

  • Eric Pels

    () (Vrije Universiteit Amsterdam)

  • Piet Rietveld

    () (Vrije Universiteit Amsterdam)

Abstract

This discussion paper resulted in an article in the Transportation Research E (2009). Volume 45, pages 270-283. This study models the choices of Dutch railway users (aggregated at the 4 digit post code area) for access mode and departure railway stations. For each post code area a set of four access modes: car, public transport, bicycle and walking and a set three departure railway stations are identified. A nested logit model is estimated based on 1440 post code areas using a number of access and rail station features. The access features include distance to the departure station, car ownership level, public transport frequency and travel time by public transport to the departure stations. The station features used in the estimation include rail service quality index and supplementary facilities such as availability of parking space and bicycle standing place. Distance has a negative effect on the utility of departure stations. A steeper effect is observed on the choice of departure stations accessed by the non-motorized modes of walking and bicycle. Availability of parking places and bicycle standing areas have a positive effect on the choice of departure railway stations accessed by car and bicycle respectively. Public transport frequency has a positive whereas public transport travel time has a negative effect on the choice of departure stations accessed by public transport. The rail service quality index of a station has a significant and positive effect on the choice of departure stations accessed by all modes.

Suggested Citation

  • Ghebreegziabiher Debrezion & Eric Pels & Piet Rietveld, 2007. "Modelling the Joint Access Mode and Railway Station Choice," Tinbergen Institute Discussion Papers 07-012/3, Tinbergen Institute.
  • Handle: RePEc:tin:wpaper:20070012
    as

    Download full text from publisher

    File URL: https://papers.tinbergen.nl/07012.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Hess, Stephane & Polak, John W., 2005. "Mixed logit modelling of airport choice in multi-airport regions," Journal of Air Transport Management, Elsevier, vol. 11(2), pages 59-68.
    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. Jeffrey Newman & Vincent Bernardin, 2010. "Hierarchical ordering of nests in a joint mode and destination choice model," Transportation, Springer, vol. 37(4), pages 677-688, July.
    2. Wen, Chieh-Hua & Wang, Wei-Chung & Fu, Chiang, 2012. "Latent class nested logit model for analyzing high-speed rail access mode choice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 545-554.
    3. 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.
    4. 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.
    5. Ettema, Dick & Gärling, Tommy & Olsson, Lars E. & Friman, Margareta, 2010. "Out-of-home activities, daily travel, and subjective well-being," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(9), pages 723-732, November.
    6. 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.
    7. Li, Zhi-Chun & Sheng, Dian, 2016. "Forecasting passenger travel demand for air and high-speed rail integration service: A case study of Beijing-Guangzhou corridor, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 397-410.
    8. Kager, R. & Bertolini, L. & Te Brömmelstroet, M., 2016. "Characterisation of and reflections on the synergy of bicycles and public transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 208-219.
    9. Zgheib, Najib & Abou-Zeid, Maya & Kaysi, Isam, 2020. "Modeling demand for ridesourcing as feeder for high capacity mass transit systems with an application to the planned Beirut BRT," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 70-91.
    10. Kok, Nils & Jennen, Maarten, 2012. "The impact of energy labels and accessibility on office rents," Energy Policy, Elsevier, vol. 46(C), pages 489-497.
    11. 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.
    12. 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.
    13. Weliwitiya, Hesara & Rose, Geoffrey & Johnson, Marilyn, 2019. "Bicycle train intermodality: Effects of demography, station characteristics and the built environment," Journal of Transport Geography, Elsevier, vol. 74(C), pages 395-404.
    14. Hao Pang & Alireza Khani, 2018. "Modeling park-and-ride location choice of heterogeneous commuters," Transportation, Springer, vol. 45(1), pages 71-87, January.
    15. Meng, Meng & Rau, Andreas & Mahardhika, Hita, 2018. "Public transport travel time perception: Effects of socioeconomic characteristics, trip characteristics and facility usage," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PA), pages 24-37.
    16. Xu, Meng & Grant-Muller, Susan, 2016. "Trip mode and travel pattern impacts of a Tradable Credits Scheme: A case study of Beijing," Transport Policy, Elsevier, vol. 47(C), pages 72-83.
    17. Givoni, Moshe & Rietveld, Piet, 2014. "Do cities deserve more railway stations? The choice of a departure railway station in a multiple-station region," Journal of Transport Geography, Elsevier, vol. 36(C), pages 89-97.
    18. Blainey, Simon P. & Preston, John M., 2013. "A GIS-based appraisal framework for new local railway stations and services," Transport Policy, Elsevier, vol. 25(C), pages 41-51.
    19. Duncan, Michael & Christensen, Robert K., 2013. "An analysis of park-and-ride provision at light rail stations across the US," Transport Policy, Elsevier, vol. 25(C), pages 148-157.

    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. Fosgerau, Mogens & Bierlaire, Michel, 2007. "A practical test for the choice of mixing distribution in discrete choice models," Transportation Research Part B: Methodological, Elsevier, vol. 41(7), pages 784-794, August.
    2. 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.
    3. Sismanidou, Athina & Tarradellas, Joan & Bel, Germà & Fageda, Xavier, 2013. "Estimating potential long-haul air passenger traffic in national networks containing two or more dominant cities," Journal of Transport Geography, Elsevier, vol. 26(C), pages 108-116.
    4. Gupta, Vishal Kumar & Ting, Q.U. & Tiwari, Manoj Kumar, 2019. "Multi-period price optimization problem for omnichannel retailers accounting for customer heterogeneity," International Journal of Production Economics, Elsevier, vol. 212(C), pages 155-167.
    5. Stephane Hess, 2005. "Analysing air-travel choice behaviour in the Greater London area," ERSA conference papers ersa05p736, European Regional Science Association.
    6. Amenta, Nina & Sanguinetti, Angela, 2020. "Adding Carbon to the Equation in Online Flight Search," Institute of Transportation Studies, Working Paper Series qt5n53672m, Institute of Transportation Studies, UC Davis.
    7. Miller, Benjamin I. & Dewey, James F. & Denslow, David & Miller, Edward B., 2016. "A welfare analysis of subsidies for airports," Journal of Air Transport Management, Elsevier, vol. 50(C), pages 83-90.
    8. 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.
    9. Yanhao Wei, 2018. "Airline networks, traffic densities, and value of links," Quantitative Marketing and Economics (QME), Springer, vol. 16(3), pages 341-370, September.
    10. Mona Kashiha & Jean-Claude Thill, 2016. "Spatial competition and contestability based on choice histories of consumers," Papers in Regional Science, Wiley Blackwell, vol. 95(4), pages 877-894, November.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. Yuen, Andrew & Zhang, Anming & Hui, Yer Van & Leung, Lawrence C. & Fung, Michael, 2017. "Is developing air cargo airports in the hinterland the way of the future?," Journal of Air Transport Management, Elsevier, vol. 61(C), pages 15-25.
    16. Morimoto, Yu, 2020. "Do citizens of a city that owns a local public airport have attachment to the airport and use it?," MPRA Paper 103442, University Library of Munich, Germany.
    17. Balcombe, Kelvin & Fraser, Iain & Harris, Liam, 2009. "Consumer willingness to pay for in-flight service and comfort levels: A choice experiment," Journal of Air Transport Management, Elsevier, vol. 15(5), pages 221-226.
    18. Yang, Chih-Wen & Lu, Jin-Long & Hsu, Chun-Yen, 2014. "Modeling joint airport and route choice behavior for international and metropolitan airports," Journal of Air Transport Management, Elsevier, vol. 39(C), pages 89-95.
    19. Christidis, Panayotis, 2016. "Four shades of Open Skies: European Union and four main external partners," Journal of Transport Geography, Elsevier, vol. 50(C), pages 105-114.
    20. Choi, Jong Hae & Wang, Kun & Xia, Wenyi & Zhang, Anming, 2019. "Determining factors of air passengers’ transfer airport choice in the Southeast Asia – North America market: Managerial and policy implications," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 203-216.

    More about this item

    Keywords

    departure railway station choice; access mode choice; nested logit model;

    JEL classification:

    • R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics

    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:tin:wpaper:20070012. 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: (Tinbergen Office +31 (0)10-4088900). General contact details of provider: http://edirc.repec.org/data/tinbenl.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.