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Title:

Using Macrolevel Collision Prediction Models to Conduct Road Safety Evaluation of Regional Transportation Plan

Accession Number:

01103550

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

This paper describes the application of previously developed macro-level collision prediction models (CPMs) in a case study to evaluate the road safety of a regional transportation plan for the Greater Vancouver Regional District (GVRD) in British Columbia (BC), Canada. The research objective was to present and test model-use guidelines in a regional road safety planning application. The data used describes over 20 traits in each of over 400 GVRD neighborhoods, aggregated according to the traffic analysis zones (TAZs) used in the GVRD’s classic four-step regional transportation model, which runs on Emme/2 software (1). The CPMs were run to assess the resulting difference in 3-year collision predictions between a short-term regional transportation plan scenario, and a base “do-nothing” scenario. A review of the results found a lower predicted collision frequency region-wide due to the proposed transportation plan, versus a do-nothing scenario. These findings have been discussed, and recommendations have been made for future use of the CPMs in regional road safety planning applications, including interpretation of results. The application of macro-level CPMs to this regional case study proved a solid step in the development of new and improved empirical tools for planners and engineers to include road safety in the planning process. It is hoped that these models and model-use guidelines will facilitate improved decisions by community planners and engineers, and ultimately, facilitate improved neighborhood traffic safety for residents and other road users.

Monograph Accession #:

01084478

Report/Paper Numbers:

08-0693

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Lovegrove, Gordon Richard
Lim, Clark
Sayed, Tarek A

Pagination:

23p

Publication Date:

2008

Conference:

Transportation Research Board 87th Annual Meeting

Location: Washington DC, United States
Date: 2008-1-13 to 2008-1-17
Sponsors: Transportation Research Board

Media Type:

DVD

Features:

Figures (2) ; Maps (6) ; References (25) ; Tables (4)

Uncontrolled Terms:

Crash prediction models

Subject Areas:

Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; Safety and Human Factors; I10: Economics and Administration; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2008 Paper #08-0693

Files:

TRIS, TRB

Created Date:

Jan 29 2008 3:01PM