01089187

Component

Mobility management (also called Transportation Demand Management, or TDM) consists of various strategies that change travel behavior to increase transportation system efficiency. Mobility management policies and programs are generally promoted as ways to reduce traffic congestion, parking problems and pollution emissions; road safety is seldom a major objective. However, research described in this paper indicates that mobility management strategies also provide significant safety benefits. This paper describes how community-based, macro-level collision prediction models (CPMs) can be used to calculate the road safety effects of specific mobility management strategies (MMS). It summarizes the results of road safety evaluations of three mobility management strategies using recently developed macro-level CPMs, and using data from 479 urban neighborhoods in the Greater Vancouver Regional District (GVRD), in British Columbia (BC), Canada. The results suggest that a smart growth strategy of more compact, multi-modal land use development patterns can reduce per capita neighborhood collision frequency by 20% (total) and 29% (severe); that a congestion pricing strategy has the potential to reduce neighborhood collision frequency by 19% (total) and 21% (severe); and improving transportation options (better walking and cycling conditions, and improved ridesharing and public transit services) could reduce collision frequency by 14% (total) and 15% (severe). These model predictions are consistent with actual observed mobility management collision reductions. This study indicates that mobility management strategies can significantly increase traffic safety in addition to providing other economic and environmental benefits.

01084478

08-2385

English

24p

2008

Transportation Research Board 87th Annual Meeting

DVD

References (31) ; Tables (6)

Behavior modification; Bicycle travel; Crashes; Highway safety; Land use planning; Management; Mathematical prediction; Mobility; Neighborhoods; Physical distribution; Public transit; Ridesharing; Travel behavior; Walking

Vancouver (Canada)

Administration and Management; Data and Information Technology; Freight Transportation; Highways; Pedestrians and Bicyclists; Planning and Forecasting; Public Transportation; Safety and Human Factors; Society; I10: Economics and Administration; I72: Traffic and Transport Planning

Transportation Research Board Annual Meeting 2008 Paper #08-2385

TRIS, TRB

Jan 29 2008 4:47PM