title: Investigation of a supplementary tool to assist in the prioritization of emphasis areas in North American strategic highway safety plans.
abstract: An important potential benefit of a jurisdiction developing an upper-level traffic safety policy statement, such as a strategic highway safety plan (SHSP) or a traffic safety action plan, is the creation of a manageable number of focus areas, known as emphasis areas. The responsible agencies in the jurisdiction can then direct their finite resources in a systematic and strategic way designed to maximize the effort to reduce the number and severity of roadway collisions. In the United States, the federal government through AASHTO has suggested 22 potential emphasis areas. In Canada, CCMTA's 10 potential emphasis areas have been listed for consideration. This study reviewed the SHSP and traffic safety action plan of 53 jurisdictions in North America, and conducted descriptive data analyses to clarify the issues that currently affect the selection and prioritization process of jurisdiction-specific emphasis areas. We found that the current process relies heavily on high-level collision data analysis and communication among the SHSP stakeholders, but may not be the most efficient and effective way of selecting and prioritizing the emphasis areas and allocating safety improvement resources. This study then formulated a formal collision diagnosis test, known as the beta-binomial test, to clarify and illuminate the selection and the prioritization of jurisdiction-specific emphasis areas. We developed numerical examples to demonstrate how engineers can apply the proposed diagnosis test to improve the selection and prioritization of individual jurisdictions' emphasis areas.
authors.affiliation: Department of Civil and Geological Engineering, University of Saskatchewan, 57 Campus Drive, Saskatoon, SK S7N 5A9, Canada. peter.park@usask.ca
authors.forename: Peter Y
authors.initials: PY
authors.lastname: Park
authors.forename: Jason
authors.initials: J
authors.lastname: Young
mesh_terms: D000063:Accidents, Traffic / Q000145:classification / Q000517:prevention & control* / Q000706:statistics & numerical data*; D017278:Air Bags; D016010:Binomial Distribution; D002170:Canada; D003431:Cross-Cultural Comparison; D003430:Cross-Sectional Studies; D004738:Engineering; D004779:Environment Design; D006292:Health Priorities; D006801:Humans; D007857:Leadership; D009937:Organizational Objectives; D011640:Public Policy; D018570:Risk Assessment / Q000706:statistics & numerical data*; D012449:Safety / Q000592:standards*; D012622:Seat Belts; D014481:United States; D014947:Wounds and Injuries / Q000145:classification / Q000453:epidemiology / Q000517:prevention & control