IDEAS home Printed from https://ideas.repec.org/a/spr/pubtra/v14y2022i3d10.1007_s12469-021-00276-y.html
   My bibliography  Save this article

Pedestrian safety at intersections near light rail transit stations

Author

Listed:
  • Srinivas S. Pulugurtha

    (The University of North Carolina at Charlotte)

  • L. Prasanna Srirangam

    (The University of North Carolina at Charlotte)

Abstract

The focus of this paper is two-fold—(1) to research and identify critical predictor variables such as road network and land-use characteristics that influence pedestrian safety at intersections near light rail transit (LRT) stations, and, (2) to examine the change in pedestrian crash patterns at these intersections before and after the LRT is in operation to serve the users. Pedestrian crashes, road network, and land-use characteristics within a vicinity of 0.25 miles (402 m) at 70 selected intersections near fifteen LRT stations in Charlotte, North Carolina were considered in this research. The predictor variables were examined to minimize multicollinearity and develop four different non-linear regression models. The findings from the three best models indicate that the number of bus stops, mixed use area, office area, single-family residential area, industrial area, and the presence of a railroad flasher have a statistically significant influence on the number of pedestrian crashes at an intersection near an LRT station. An increase in the total number of pedestrian crashes at the selected intersections near LRT stations was observed during the after-period compared to the before-period. The increase in the number of pedestrian crashes varied with the pedestrian crash history of the intersection.

Suggested Citation

  • Srinivas S. Pulugurtha & L. Prasanna Srirangam, 2022. "Pedestrian safety at intersections near light rail transit stations," Public Transport, Springer, vol. 14(3), pages 583-608, October.
    • Handle: RePEc:spr:pubtra:v:14:y:2022:i:3:d:10.1007_s12469-021-00276-y
    DOI: 10.1007/s12469-021-00276-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12469-021-00276-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12469-021-00276-y?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

    for a different version of it.

    References listed on IDEAS

    as
    1. repec:cdl:itsrrp:qt0d48w4gz is not listed on IDEAS
    2. Sonu Mathew & Srinivas S. Pulugurtha, 2020. "Assessing the effect of a light rail transit system on road traffic travel time reliability," Public Transport, Springer, vol. 12(2), pages 313-333, June.
    3. repec:cdl:itsrrp:qt3nr8h66j is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    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. Liu, Jie & He, Mingwei & Schonfeld, Paul M. & Kato, Hironori & Li, Anjun, 2022. "Measures of accessibility incorporating time reliability for an urban rail transit network: A case study in Wuhan, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 471-489.
    2. Ziru Li & Chen Liang & Yili Hong & Zhongju Zhang, 2022. "How Do On‐demand Ridesharing Services Affect Traffic Congestion? The Moderating Role of Urban Compactness," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 239-258, January.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:spr:pubtra:v:14:y:2022:i:3:d:10.1007_s12469-021-00276-y. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.