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High-speed rail’s impact on the location of office employment within the Dutch Randstad area

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  • Jasper Willigers

    ()

  • Han Floor

    ()

  • Bert Van Wee

    ()

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    Abstract

    With the upcoming implementation of high-speed railway infrastructure in the Netherlands, interest has arisen in the spatial-economic effects this might have. Experiences with high-speed rail outside the Netherlands have shown that effects at a local or regional level can be important, due to relocation of employment within regions and cities. This paper focuses on this issue by presenting the results of discrete choice models for office location choice. Both stated choice data and revealed choice data are used. The discrete location choice models give information on to what extent the introduction of high-speed rail in the Netherlands can change the attractiveness of individual cities within the Randstad area on the one hand and of places within these cities on the other hand. As accessibility is an important concept in this topic, attention is given to the specification of accessibility indicators. Hereby, distinction is made between centrality and connectivity. Centrality refers to the position of a location within the transport network and relative to possible origins and destinations. Potential accessibility indicators based on a spatial interaction model are used to represent centrality. Connectivity refers to how well a location is connected to a transport network. Indicators for connectivity are for example the distance to the nearest railway station or motorway access ramp and also the level-of-service provided, such as the train frequency at a station. Furthermore, the paper focuses on a segmentation of employment that reflects this paper’s purpose of studying the influence of (high-speed) rail on location choices. Whereas accessibility by car is relevant for location choices of all types of office employment, accessibility by rail in general and accessibility by high-speed rail in particular seem important to more distinct groups of office employment.

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    Bibliographic Info

    Paper provided by European Regional Science Association in its series ERSA conference papers with number ersa05p308.

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    Date of creation: Aug 2005
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    Handle: RePEc:wiw:wiwrsa:ersa05p308

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    1. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, October.
    2. K. E. Haynes & C. Karlsson & U. Blum, 1997. "Introduction to the special issue The regional and urban effects of high-speed trains," The Annals of Regional Science, Springer, vol. 31(1), pages 1-20.
    3. Roger Vickerman, 1997. "High-speed rail in Europe: experience and issues for future development," The Annals of Regional Science, Springer, vol. 31(1), pages 21-38.
    4. Kingsley E. Haynes, 1997. "Labor markets and regional transportation improvements: the case of high-speed trains An introduction and review," The Annals of Regional Science, Springer, vol. 31(1), pages 57-76.
    5. Sands, Brian D., 1993. "The Development Effects of High-Speed Rail Stations and Implications for California," University of California Transportation Center, Working Papers qt13t478sf, University of California Transportation Center.
    6. Benedikt Mandel & Marc Gaudry & Werner Rothengatter, 1997. "A disaggregate Box-Cox Logit mode choice model of intercity passenger travel in Germany and its implications for high-speed rail demand forecasts," The Annals of Regional Science, Springer, vol. 31(2), pages 99-120.
    7. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-99, June.
    8. Hensher, David & Louviere, Jordan & Swait, Joffre, 1998. "Combining sources of preference data," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 197-221, November.
    9. Brownstone, David & Bunch, David S & Train, Kenneth, 1999. "Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles," University of California Transportation Center, Working Papers qt45f996hh, University of California Transportation Center.
    10. Rietveld, Piet, 1994. "Spatial economic impacts of transport infrastructure supply," Transportation Research Part A: Policy and Practice, Elsevier, vol. 28(4), pages 329-341, July.
    11. Daniel McFadden, 1977. "Modelling the Choice of Residential Location," Cowles Foundation Discussion Papers 477, Cowles Foundation for Research in Economics, Yale University.
    12. R W Vickerman, 1974. "Accessibility, attraction, and potential: a review of some concepts and their use in determining mobility," Environment and Planning A, Pion Ltd, London, vol. 6(6), pages 675-691, June.
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    Cited by:
    1. Martin KONING & Corinne BLANQUART & Marie Delaplace, 2013. "Dessertes ferroviaires à grande vitesse et dynamisme économique local : Une analyse économétrique exploratoire sur les unités urbaines françaises," Post-Print hal-00962384, HAL.

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