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Choice of departure station by railway users


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


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.

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  • 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

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    References listed on IDEAS

    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.
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    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.

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    Railway station choice; Logit model;


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