Using Macrolevel Collision Prediction Models in Road Safety Planning Applications

This paper describes the use of several recently developed macrolevel collision prediction models (CPMs) in two road safety planning applications. Data from several urban neighborhoods in the Greater Vancouver Regional District (GVRD) in the province of British Columbia, Canada, were used to present and test model-use guidelines in two road safety planning applications. In the first case study, an areawide traffic calming collision modification factor was estimated for GVRD urban areas, for “total” and “severe” collisions, to be in the range of –0.40 and –0.39, respectively. In the second case study, four neighborhood network structures were evaluated, and two test networks that appeared safer than conventional grid and cul-de-sac neighborhood street patterns were revealed, mostly because of the increased use of three-way intersections. Moreover, cul-de-sac networks appeared to be much safer than grid networks, by nearly three to one. The results suggested that the models and model-use guidelines could complement and enhance traditional road safety improvement programs and could provide new and improved empirical tools for planners and engineers to do road safety planning. It is hoped that development of guidelines for macrolevel CPM use will facilitate improved decisions by community planners and engineers and, ultimately, neighborhood traffic safety for residents and other road users.

• Record URL:
  https://doi.org/10.3141/1950-09
• 
• Summary URL:
  http://scholar.google.com/scholar_lookup?title=Using+Macrolevel+Collision+Prediction+Models+in+Road+Safety+Planning+Applications&author=G.+Lovegrove&author=T.+Sayed&publication_year=2006
• Availability:
  • Find a library where document is available. Order URL: http://www.trb.org/Main/Public/Blurbs/158003.aspx
• Authors:
  • Lovegrove, Gordon Richard
  • Sayed, Tarek A
• Publication Date: 2006

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 73-82
• Monograph Title: Statistical Methods and Crash Prediction Modeling
• Serial:
  • Transportation Research Record: Journal of the Transportation Research Board
  • Issue Number: 1950
  • Publisher: Transportation Research Board
  • ISSN: 0361-1981

Subject/Index Terms

• TRT Terms: Case studies; Crash modification factors; Crash risk forecasting; Cul de sacs; Highway safety; Neighborhoods; Planning; Three leg intersections; Traffic calming
• Identifier Terms: Greater Vancouver Regional District
• Uncontrolled Terms: Macro-level
• Geographic Terms: British Columbia
• Subject Areas: Highways; Planning and Forecasting; Safety and Human Factors; I81: Accident Statistics;

Filing Info

• Accession Number: 01030703
• Record Type: Publication
• ISBN: 0309099595
• Files: TRIS, TRB, ATRI
• Created Date: Aug 10 2006 3:33PM