Community-Based, Macrolevel Collision Prediction Model Use with a Regional Transportation Plan

被引:13
作者
Lovegrove, Gord [1 ]
Lim, Clark [2 ]
Sayed, Tarek [2 ]
机构
[1] Univ British Columbia Okanagan, Fac Sci Appl, Sch Engn, Kelowna, BC V1V 1V7, Canada
[2] Univ British Columbia, Dept Civil Engn, Fac Sci Appl, Vancouver, BC V6T 1Z4, Canada
来源
JOURNAL OF TRANSPORTATION ENGINEERING-ASCE | 2010年 / 136卷 / 02期
基金
加拿大自然科学与工程研究理事会;
关键词
Accident data; Macro-level; Collision prediction models; Transportation planning; Regional transportation plan; Road safety planning; Safety conscious planning; Sustainable road safety; Crashes; ROAD SAFETY;
D O I
10.1061/(ASCE)TE.1943-5436.0000081
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper describes the application of previously developed community-based, macrolevel collision prediction models (CPMs) to evaluate the road safety of a regional transportation plan. The research objective was to present and test model-use guidelines in a regional road safety planning application. The data was extracted from over 400 Greater Vancouver neighborhoods in British Columbia, Canada, including output from the regional transportation model. The CPMs predicted a lower mean collision frequency region-wide due to a proposed three-year transportation plan, versus a do-nothing scenario. Recommendations have been made for future use of the CPMs in regional road safety planning applications. The application of macrolevel 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.
引用
收藏
页码:120 / 128
页数:9
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