IDEAS home Printed from https://ideas.repec.org/p/hhs/ctswps/2019_001.html
   My bibliography  Save this paper

Marginal costs for railway level crossings in Sweden

Author

Listed:
  • Jonsson, Lina

    (WSP)

  • Björklund, Gunilla

    (CTS - Centre for Transport Studies Stockholm (KTH and VTI))

  • Isacsson, Gunnar

    (Trafikverket)

Abstract

The purpose of the present study is to estimate accident risks and marginal costs for railway level crossings in Sweden. The marginal effect of train traffic on the accident risk is used to derive the marginal cost per train passage that is due to level crossing accidents. The estimations are based on Swedish data from 2000 to 2012 on level crossing accidents, train volume, and crossing characteristics. In this study we estimate the accidents risk for both motorized road traffic and vulnerable road users. As a proxy for road traffic flow we use three categories of road type, and to capture the influences of pedestrians and bicyclists we use information about the number of persons living nearby the level crossing. The results show that both protection device, road type, traffic volume of the trains, and number of persons living nearby the level crossing have significant influences on the accident probability. The marginal cost per train passage regarding motor vehicle accidents is estimated at SEK 1.51 on average in 2012. The corresponding number for accidents with vulnerable road users excluding suicides is SEK 0.79 or including suicides SEK 5.02. The cost per train passage varies substantially depending on type of protection device, road type, the traffic volume of the trains, and number of persons living nearby the crossing.

Suggested Citation

  • Jonsson, Lina & Björklund, Gunilla & Isacsson, Gunnar, 2019. "Marginal costs for railway level crossings in Sweden," Working papers in Transport Economics 2019:1, CTS - Centre for Transport Studies Stockholm (KTH and VTI), revised 22 Dec 2020.
    • Handle: RePEc:hhs:ctswps:2019_001
    Note: Published in Transport Policy. Vol. 83, November 2019, Pages 68-79
    as

    Download full text from publisher

    File URL: https://www.sciencedirect.com/science/article/pii/S0967070X19300599
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. repec:bla:econom:v:65:y:1998:i:259:p:429-40 is not listed on IDEAS
    2. John Peirson & Ian Skinner & Roger Vickerman, 1998. "The Microeconomic Analysis of the External Costs of Road Accidents," Economica, London School of Economics and Political Science, vol. 65(259), pages 429-440, August.
    3. Jonsson, Lina, 2011. "Marginal cost estimation for level crossing accidents: Evidence from the Swedish railways 2000-2008," Working papers in Transport Economics 2011:15, CTS - Centre for Transport Studies Stockholm (KTH and VTI), revised 16 Nov 2011.
    4. Andrew Dickerson & John Peirson & Roger Vickerman, 2000. "Road Accidents and Traffic Flows: An Econometric Investigation," Economica, London School of Economics and Political Science, vol. 67(265), pages 101-121, February.
    5. Nash, Chris, 2003. "Marginal cost and other pricing principles for user charging in transport: a comment," Transport Policy, Elsevier, vol. 10(4), pages 345-348, October.
    6. Gunnar Lindberg, 2001. "Traffic Insurance and Accident Externality Charges," Journal of Transport Economics and Policy, University of Bath, vol. 35(3), pages 399-416, September.
    Full references (including those not matched with items on IDEAS)

    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. Jonsson, Lina & Björklund, Gunilla & Isacsson, Gunnar, 2019. "Marginal costs for railway level crossing accidents in Sweden," Transport Policy, Elsevier, vol. 83(C), pages 68-79.
    2. Pål Andreas Pedersen, 2001. "A Game Theoretical Approach to Road Safety," Studies in Economics 0105, School of Economics, University of Kent.
    3. Tito Moreira & Adolfo Sachsida & Loureiro Paulo, 2004. "Traffic accidents: an econometric investigation," Economics Bulletin, AccessEcon, vol. 18(3), pages 1-7.
    4. Schrage, Andrea, 2006. "Traffic Congestion and Accidents," University of Regensburg Working Papers in Business, Economics and Management Information Systems 419, University of Regensburg, Department of Economics.
    5. Börjesson, Maria & Asplund, Disa & Hamilton, Carl, 2021. "Optimal kilometre tax for electric passenger cars," Working Papers 2021:3, Swedish National Road & Transport Research Institute (VTI).
    6. Ian W. H. Parry & Kenneth A. Small, 2009. "Should Urban Transit Subsidies Be Reduced?," American Economic Review, American Economic Association, vol. 99(3), pages 700-724, June.
    7. Pérez-Martínez, P.J. & Vassallo-Magro, J.M., 2013. "Changes in the external costs of freight surface transport In Spain," Research in Transportation Economics, Elsevier, vol. 42(1), pages 61-76.
    8. Golob, Thomas F. & Recker, Wilfred W. & Alvarez, Veronica M., 2003. "A Tool to Evaluate the Safety Effects of Changes in Freeway Traffic Flow," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt1kn30323, Institute of Transportation Studies, UC Berkeley.
    9. Hultkrantz, Lars & Nilsson, Jan-Eric & Arvidsson, Sara, 2012. "Voluntary internalization of speeding externalities with vehicle insurance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(6), pages 926-937.
    10. Jiang Qian Ying, 2015. "Optimization for Multiclass Residential Location Models with Congestible Transportation Networks," Transportation Science, INFORMS, vol. 49(3), pages 452-471, August.
    11. Lei Zhang & David Levinson, 2005. "Investing for Reliability and Security in Transportation Networks," Working Papers 200807, University of Minnesota: Nexus Research Group.
    12. Juan Gomez & José Manuel Vassallo, 2020. "Has heavy vehicle tolling in Europe been effective in reducing road freight transport and promoting modal shift?," Transportation, Springer, vol. 47(2), pages 865-892, April.
    13. Tscharaktschiew, Stefan, 2016. "The private (unnoticed) welfare cost of highway speeding behavior from time saving misperceptions," Economics of Transportation, Elsevier, vol. 7, pages 24-37.
    14. Ming-Jyh Wang & Chieh-Hua Wen & Lawrence W Lan, 2010. "Modelling Different Types of Bundled Automobile Insurance Choice Behaviour: The Case of Taiwan*," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 35(2), pages 290-308, April.
    15. Vieira, João & Moura, Filipe & Manuel Viegas, José, 2007. "Transport policy and environmental impacts: The importance of multi-instrumentality in policy integration," Transport Policy, Elsevier, vol. 14(5), pages 421-432, September.
    16. Coria, Jessica & Bonilla, Jorge & Grundström, Maria & Pleijel, Håkan, 2015. "Air pollution dynamics and the need for temporally differentiated road pricing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 178-195.
    17. Viacheslav Morozov & Artur I. Petrov & Vladimir Shepelev & Mohammed Balfaqih, 2024. "Ideology of Urban Road Transport Chaos and Accident Risk Management for Sustainable Transport Systems," Sustainability, MDPI, vol. 16(6), pages 1-32, March.
    18. Golob, Thomas F. & Recker, Wilfred W. & Alvarez, Veronica, 2002. "Freeway Safety as a Function of Traffic Flow: The FITS Tool for Evaluating ATMS Operations," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt1tc5r61j, Institute of Transportation Studies, UC Berkeley.
    19. Golob, Thomas F. & Recker, Wilfred W., 2003. "Relationships Among Urban Freeway Accidents, Traffic Flow, Weather, and Lighting Conditions," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt61v6d9kz, Institute of Transportation Studies, UC Berkeley.
    20. Lars Hultkrantz & Gunnar Lindberg, 2011. "Pay-as-you-speed An Economic Field Experiment," Journal of Transport Economics and Policy, University of Bath, vol. 45(3), pages 415-436, September.

    More about this item

    Keywords

    Railway; Marginal cost; Accident probability: Level crossings;
    All these keywords.

    JEL classification:

    • D62 - Microeconomics - - Welfare Economics - - - Externalities
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

    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:hhs:ctswps:2019_001. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CTS (email available below). General contact details of provider: http://www.cts.kth.se/ .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.