IDEAS home Printed from https://ideas.repec.org/p/cdl/itsrrp/qt9350c32g.html
   My bibliography  Save this paper

How Might Adjustments to Public Transit Operations Affect COVID-19 Transmission?

Author

Listed:
  • Huan, Yiduo MSc
  • Shen, Zuojun Max PhD

Abstract

During the COVID-19 pandemic, public transportation systems worldwide faced many challenges, including significant loss of ridership. Public agencies implemented various COVID-19-related policies to reduce transmission, such as reducing service frequency and network coverage of public transportation. Recent studies have examined the effectiveness of these policies but reach different conclusions due to varying assumptions about how passengers may react to service changes. Some studies proposed optimizing public transit operation timetables, service frequency, and network coverage to reduce the risk of COVID-19 transmission while also maintaining and/or increasing the level of ridership. However, there is currently no method available to perform such optimization. In response to this informational gap, researchers at the University of California at Berkeley developed a framework to assist public transportation agencies to determine a near-optimal system timetable design, and develop network reopening plans for public transit. The team evaluated different reopening policies using this framework and developed an optimized timetable for the Bay Area Rapid Transit system.

Suggested Citation

  • Huan, Yiduo MSc & Shen, Zuojun Max PhD, 2022. "How Might Adjustments to Public Transit Operations Affect COVID-19 Transmission?," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt9350c32g, Institute of Transportation Studies, UC Berkeley.
  • Handle: RePEc:cdl:itsrrp:qt9350c32g
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/9350c32g.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Engineering;

    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:cdl:itsrrp:qt9350c32g. 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: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/itucbus.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.