Designing and Planning for Safe Pedestrian Paths at Rail Transit Stations Serving RITI Communities

In this study, the authors focus on pedestrian network construction and pedestrian route choice analysis. The authors developed a Geographic Information System (GIS) based framework for pedestrian network construction, which takes multiple data sources, such as open source networks, satellite imagery, and pedestrian Global Positioning System (GPS) traces. The pedestrian route choice study examines the impact from tradeoffs between environmental and infrastructure attributes, such as ambient noise, tree canopy shade, and surface characteristics (e.g., sidewalk, grass, etc.). The authors investigate these in a university campus setting, where walking trips comprise about 25% of all commute trips, with a greater percentage expected for within campus origin-destination (OD) trips. The authors collect and analyze GPS data from volunteer community members of the University of Hawaii at Manoa (UHM), resulting in 298 distinct observed OD trips and their routes. From a random utility model (RUM) route choice standpoint, choice set generation is a difficult problem, especially for on-campus walking, which is unrestricted and can deviate from discrete roadways or sidewalks. Thus, a recursive logit route choice model is estimated to determine the tradeoffs between route link attributes, such as ambient noise, tree canopy shade, and other infrastructure attributes. The estimated recursive logit model and network construction framework were applied to four identified Skyline stations to analysis the pedestrian route choice behavior when accessing the stations.

  • Record URL:
  • Record URL:
  • Supplemental Notes:
    • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
  • Corporate Authors:

    University of Hawaii, Manoa

    Department of Civil, Environmental and Construction Engineering
    Honolulu, HI  United States 

    Center for Safety Equity in Transportation

    University of Alaska Fairbanks
    Fairbanks, AK  United States  99775

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Authors:
    • Chen, Roger B
    • Zhang, Xiazhi
    • Harirchi, Poya
    • Chun, Marissa
  • Publication Date: 2024-6-30

Language

  • English

Media Info

  • Media Type: Digital/other
  • Edition: Final Report
  • Features: Figures; Maps; References; Tables;
  • Pagination: 49p

Subject/Index Terms

Filing Info

  • Accession Number: 01928816
  • Record Type: Publication
  • Report/Paper Numbers: INE/CSET 24.12
  • Contract Numbers: 69A3551747129
  • Files: UTC, NTL, TRIS, USDOT
  • Created Date: Aug 26 2024 2:45PM