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SAMPERS — The New Swedish National Travel Demand Forecasting Tool

In: National Transport Models

Author

Listed:
  • Muriel Beser

    (Transek AB)

  • Staffan Algers

    (Transek AB)

Abstract

Swedish transportation authorities have a long tradition of developing traffic demand models. The first generation of national models was developed in the beginning of the 1980s, a second generation during the first half of 1990s. These models have also been frequently used in a large number of projects but also as a part of the regular national strategic transport investment plan. The national planning process has been a four-year cycle of revising a ten-year investment scheme. The first step in this process is to undertake an analysis to decide on a general policy (like promoting accessibility or focusing on environmental protection). Here the models are used to analyse a few main alternatives, representing major differences in transportation policy and economic development (such as heavily increased petrol taxes to reduce carbondioxide emission).

Suggested Citation

  • Muriel Beser & Staffan Algers, 2002. "SAMPERS — The New Swedish National Travel Demand Forecasting Tool," Advances in Spatial Science, in: Lars Lundqvist & Lars-Göran Mattsson (ed.), National Transport Models, chapter 9, pages 101-118, Springer.
    • Handle: RePEc:spr:adspcp:978-3-662-04853-5_9
    DOI: 10.1007/978-3-662-04853-5_9
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    Citations

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    Cited by:

    1. West, Jens & Börjesson, Maria & Engelson, Leonid, 2016. "Accuracy of the Gothenburg congestion charges forecast," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 266-277.
    2. Börjesson, Maria & Brundell-Freij, Karin & Eliasson, Jonas, 2014. "Not invented here: Transferability of congestion charges effects," Transport Policy, Elsevier, vol. 36(C), pages 263-271.
    3. Isacsson, Gunnar & Börjesson, Maria & Andersson, Matts & Anderstig, Christer, 2016. "The impact of accessibility on labor earnings," Working papers in Transport Economics 2015:18, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    4. Börjesson, Maria, 2014. "Forecasting demand for high speed rail," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 81-92.
    5. Ida Kristoffersson & Leonid Engelson, 2011. "Modifications of the Stockholm congestion pricing scheme and effects on different user groups," ERSA conference papers ersa10p1455, European Regional Science Association.
    6. Koppelman, Frank S. & Sethi, Vaneet, 2005. "Incorporating variance and covariance heterogeneity in the Generalized Nested Logit model: an application to modeling long distance travel choice behavior," Transportation Research Part B: Methodological, Elsevier, vol. 39(9), pages 825-853, November.
    7. Jonsson, R. Daniel, 2008. "Analysing sustainability in a land-use and transport system," Journal of Transport Geography, Elsevier, vol. 16(1), pages 28-41.
    8. Börjesson, Maria, 2012. "Inter-temporal variation in the travel time and travel cost parameters of transport models," Working papers in Transport Economics 2012:16, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    9. Börjesson, Maria & Kristoffersson, Ida, 2015. "The Gothenburg congestion charge. Effects, design and politics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 134-146.
    10. Börjesson, Maria, 2012. "Forecasting demand for high speed rail," Working papers in Transport Economics 2012:12, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    11. Andersson, Matts & Brundell-Freij, Karin & Eliasson, Jonas, 2016. "Validation of reference forecasts for passenger transport," Working papers in Transport Economics 2016:15, CTS - Centre for Transport Studies Stockholm (KTH and VTI), revised 07 Jul 2016.
    12. Bondemark, Anders, 2020. "The relationship between accessibility and price – The case of Swedish food stores," Journal of Transport Geography, Elsevier, vol. 82(C).

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