IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v11y2014i5p5094-5112d36007.html
   My bibliography  Save this article

Evaluation of the Impact of Low Emission Zone and Heavy Traffic Ban in Munich (Germany) on the Reduction of PM 10 in Ambient Air

Author

Listed:
  • Veronika Fensterer

    (Statistical Consulting Unit, Department of Statistics, Ludwig-Maximilians-Universität, Akademiestr. 1, Munich 80799, Germany)

  • Helmut Küchenhoff

    (Statistical Consulting Unit, Department of Statistics, Ludwig-Maximilians-Universität, Akademiestr. 1, Munich 80799, Germany)

  • Verena Maier

    (Statistical Consulting Unit, Department of Statistics, Ludwig-Maximilians-Universität, Akademiestr. 1, Munich 80799, Germany)

  • Heinz-Erich Wichmann

    (Helmholtz Zentrum München, Institute of Epidemiology I, Ingolstädter Landstr. 1, Neuherberg 85764, Germany)

  • Susanne Breitner

    (Helmholtz Zentrum München, Institute of Epidemiology II, Ingolstädter Landstr. 1, Neuherberg 85764, Germany)

  • Annette Peters

    (Helmholtz Zentrum München, Institute of Epidemiology II, Ingolstädter Landstr. 1, Neuherberg 85764, Germany)

  • Jianwei Gu

    (Helmholtz Zentrum München, Institute of Epidemiology II, Ingolstädter Landstr. 1, Neuherberg 85764, Germany
    Environment Science Center, Universität Augsburg, Universitätsstr. 1a, Augsburg 86159, Germany)

  • Josef Cyrys

    (Helmholtz Zentrum München, Institute of Epidemiology II, Ingolstädter Landstr. 1, Neuherberg 85764, Germany
    Environment Science Center, Universität Augsburg, Universitätsstr. 1a, Augsburg 86159, Germany)

Abstract

Concentrations of ambient fine particles (PM 10 : particles with an aerodynamic diameter ≤ 10 µm) are still exceeding current air quality standards in many European cities. In Munich (Germany), low emission zone and transit bans for heavy-duty vehicles were introduced in 2008 aiming at reduction of traffic emissions contribution to PM 10 . The effects of those measures on PM 10 mass concentrations in Munich were investigated with a semiparametric regression model for modeling PM 10 levels adjusted for time, background pollution, public holidays and wind direction. The reduction of PM 10 concentration after the introduction of the measures was larger at a traffic monitoring site (13.0 %, 19.6 % in summer, and 6.8 % in winter) and smaller in urban background (4.5 %, 5.7 % in summer, and 3.2 % in winter). The effect was most pronounced on Fridays and on the weekends in summer.

Suggested Citation

  • Veronika Fensterer & Helmut Küchenhoff & Verena Maier & Heinz-Erich Wichmann & Susanne Breitner & Annette Peters & Jianwei Gu & Josef Cyrys, 2014. "Evaluation of the Impact of Low Emission Zone and Heavy Traffic Ban in Munich (Germany) on the Reduction of PM 10 in Ambient Air," IJERPH, MDPI, vol. 11(5), pages 1-19, May.
    • Handle: RePEc:gam:jijerp:v:11:y:2014:i:5:p:5094-5112:d:36007
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/11/5/5094/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/11/5/5094/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Maksymilian Mądziel, 2023. "Future Cities Carbon Emission Models: Hybrid Vehicle Emission Modelling for Low-Emission Zones," Energies, MDPI, vol. 16(19), pages 1-16, October.
    2. Bowen Liu & John R. Bryson & Deniz Sevinc & Matthew A. Cole & Robert J. R. Elliott & Suzanne E. Bartington & William J. Bloss & Zongbo Shi, 2023. "Assessing the Impacts of Birmingham’s Clean Air Zone on Air Quality: Estimates from a Machine Learning and Synthetic Control Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 86(1), pages 203-231, October.
    3. Maha Attia & Taslim Alade & Shady Attia, 2023. "The Influence of Passenger Car Banning Policies on Modal Shifts: Rotterdam’s Case Study," Sustainability, MDPI, vol. 15(9), pages 1-23, April.

    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:gam:jijerp:v:11:y:2014:i:5:p:5094-5112:d:36007. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.