IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v181y2024ics0965856424000296.html
   My bibliography  Save this article

Optimal toll rates accounting for traffic accidents: A productive efficiency approach

Author

Listed:
  • Zapico, Emma
  • Baños-Pino, José F.
  • Mayor, Matías

Abstract

This study analyzes the productive efficiency of the toll motorway sector in Spain over the 2003–2018 period by applying a stochastic frontier analysis with the particularity of including an undesirable output (traffic accidents with victims). Given the multioutput nature of the study and the presence of negative externalities, the method used is based on hyperbolic distance functions. The results obtained reveal that i) the average efficiency in the sector suggests that it is possible to increase the total number of vehicle-kilometers traveled by 29% and simultaneously reduce recorded accidents with victims by 23%, ii) there was technical progress of 16.5% during the study period, iii) reducing by one unit the number of accidents with victims would be equivalent to a monetary value of over 491 thousand euros in terms of the loss of toll revenue paid by light or heavy vehicles, and iv) the shadow price of accidents with victims allows us to determine that the optimal toll rate for heavy vehicles should be 1.62 times that of light vehicles.

Suggested Citation

  • Zapico, Emma & Baños-Pino, José F. & Mayor, Matías, 2024. "Optimal toll rates accounting for traffic accidents: A productive efficiency approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
  • Handle: RePEc:eee:transa:v:181:y:2024:i:c:s0965856424000296
    DOI: 10.1016/j.tra.2024.103981
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856424000296
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tra.2024.103981?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:eee:transa:v:181:y:2024:i:c:s0965856424000296. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    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.