IDEAS home Printed from https://ideas.repec.org/p/cdl/itsrrp/qt3qd7k0bv.html
   My bibliography  Save this paper

Influential Factors on Level of Injury in Pedestrian Crashes: Applications of Ordered Probit Model with Robust Standard Errors

Author

Listed:
  • Jang, Kitae
  • Park, Shin Hyoung
  • Chung, Sungbong
  • Song, Ki Han

Abstract

Pedestrian-involved crashes that occurred in the city of San Francisco over a six-year period, 2002–2007, were analyzed to examine various influential factors on the injury severity of pedestrian crashes. The crash data extracted from the Statewide Integrated Traffic Records System (SWITRS) include five categorical levels of injury severity in traffic crashes also in addition to detailed information about the features of each crash. This study applied an ordered probit model for injury severity analysis to specify the ordinal nature of injury categories. To draw unbiased implications from the estimated parameters, statistical tests were performed on the parameters based on robust standard errors. Then, the marginal effects of each variable on the likelihood of each injury level were computed. The variables that significantly increased the probability of severe injury and fatality were: i) age (under age 15 and over age 65), alcohol consumption and cell phone use among pedestrian characteristics; ii) nighttime, weekends and rainy weather among environmental characteristics; and iii) influence of alcohol, larger vehicles (pickups, buses and trucks) and vehicle proceeding straight when striking a pedestrian among crash characteristics. Crash characteristics were found to influence significantly on the level of pedestrian injury. Based on the findings of this analysis, policy implications and countermeasures are also discussed.

Suggested Citation

  • Jang, Kitae & Park, Shin Hyoung & Chung, Sungbong & Song, Ki Han, 2010. "Influential Factors on Level of Injury in Pedestrian Crashes: Applications of Ordered Probit Model with Robust Standard Errors," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt3qd7k0bv, Institute of Transportation Studies, UC Berkeley.
  • Handle: RePEc:cdl:itsrrp:qt3qd7k0bv
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/3qd7k0bv.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Belayet Hossain & Laura Lamb, 2012. "The Impact of Human and Social Capital on Aboriginal Employment Income in Canada," Economic Papers, The Economic Society of Australia, vol. 31(4), pages 440-450, December.
    2. Suji Kim & Kitae Jang & Sungjin Park, 2023. "‘Safety in Numbers’ for Walkers: Effects of Pedestrian Volume on Per-Pedestrian Crash Rate and Severe Injury Probability," Sustainability, MDPI, vol. 15(13), pages 1-12, June.

    More about this item

    Keywords

    Engineering; safeTREC;

    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:qt3qd7k0bv. 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.