IDEAS home Printed from https://ideas.repec.org/p/cdl/itsdav/qt7qj101f1.html
   My bibliography  Save this paper

Evaluating the Impact of High Occupancy Vehicle (HOV) Lane Access on Plug-In Vehicles (PEVs) Purchasing and Usage in California

Author

Listed:
  • Tal, Gil
  • Nicholas, Michael

Abstract

High occupancy vehicle lane access can be an important non-monetary incentive for increasing advanced clean vehicle sales. This incentive needs to be balanced against the potential cost of increased congestion on those lanes, especially during peak travel periods. In California, there are two types of HOV access: 1) White decals, which are available to an unlimited number of qualifying federal inherently-low-emission vehicles, mostly 100% battery electric and fuel cell electric vehicles (BEVs and FCVs) and 2) green decals, which are available to the first 40,000 applicants that purchase or lease cars meeting California's transitional zero emission vehicle (TZEV) requirement, mostly plug-in hybrid electric vehicles (PHEVs). The expiration date for both the green and white decals is 2019. The green decal quota is expected to run out before June 2014 with more than 36,000 issued between 2011 and March 2014. Current discussion focuses on whether to add more green decals beyond the current limit of 40,000. More decals will sell more PHEVs but will also increase the number of cars on HOV lanes and may reduce the lane performance and the revenue of high occupancy toll lanes (HOT). By developing a better understanding of the costs and benefits of HOV decals as an incentive, we can better understand how to tailor policy for maximum benefit. Our analysis shows that PHEVs with greater all-electric range provide much higher levels of zero-emission travel per HOV mile. Policy makers can take this factor into account when determining the level and duration of the HOV incentive.

Suggested Citation

  • Tal, Gil & Nicholas, Michael, 2014. "Evaluating the Impact of High Occupancy Vehicle (HOV) Lane Access on Plug-In Vehicles (PEVs) Purchasing and Usage in California," Institute of Transportation Studies, Working Paper Series qt7qj101f1, Institute of Transportation Studies, UC Davis.
  • Handle: RePEc:cdl:itsdav:qt7qj101f1
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/7qj101f1.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nicholas, Michael A & Tal, Gil, 2013. "Charging for Charging: The Paradox of Free Charging and its Detrimental Effect on the Use of Electric Vehicles," Institute of Transportation Studies, Working Paper Series qt3g5049t4, Institute of Transportation Studies, UC Davis.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Liu, Zhe & Song, Juhyun & Kubal, Joseph & Susarla, Naresh & Knehr, Kevin W. & Islam, Ehsan & Nelson, Paul & Ahmed, Shabbir, 2021. "Comparing total cost of ownership of battery electric vehicles and internal combustion engine vehicles," Energy Policy, Elsevier, vol. 158(C).

    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. Fetene, Gebeyehu M. & Hirte, Georg & Kaplan, Sigal & Prato, Carlo G. & Tscharaktschiew, Stefan, 2016. "The economics of workplace charging," Transportation Research Part B: Methodological, Elsevier, vol. 88(C), pages 93-118.
    2. Garas, Dahlia & Collantes, Gustavo O & Nicholas, Michael A, 2016. "City of Vancouver EV Infrastructure Strategy Report," Institute of Transportation Studies, Working Paper Series qt0w90c61t, Institute of Transportation Studies, UC Davis.
    3. Hardman, Scott, 2019. "Understanding the Impact of Reoccurring and Non-Financial Incentives on Plug-in Electric Vehicle Adoption – A Review," Institute of Transportation Studies, Working Paper Series qt7v13w987, Institute of Transportation Studies, UC Davis.
    4. Obeid, Hassan & Ozturk, Ayse Tugba & Zeng, Wente & Moura, Scott J., 2023. "Learning and optimizing charging behavior at PEV charging stations: Randomized pricing experiments, and joint power and price optimization," Applied Energy, Elsevier, vol. 351(C).
    5. Hardman, Scott, 2019. "Understanding the impact of reoccurring and non-financial incentives on plug-in electric vehicle adoption – A review," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 1-14.

    More about this item

    Keywords

    Engineering;

    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:cdl:itsdav:qt7qj101f1. 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: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/itucdus.html .

    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.