01556843

Component

Safety programs are formulated at various geographic levels, and a data-driven approach for such programs has been increasingly encouraged. A national traffic safety plan was created in 2013 in Korea by the collective efforts of many government entities. Under the guidelines of the plan, safety programs are formulated using a data-driven approach. However, a data-driven approach can be employed in various ways, ranging from use of highly aggregate statistics to analysis of individual crash records. Use of aggregate statistics is beneficial to reveal a tendency hidden in a vast quantity of individual crash records so that general guidance can be derived. However, aggregate statistics might blur or disguise important aspects that would be revealed if disaggregate data were carefully analyzed. The purpose of this study was to derive guidance for programs addressing the traffic safety issues of a fairly large area with about 12 million residents, using about 120,000 crash records collected in 3 years in Korea. Factors found to be associated with a more severe consequence were different across road classes and crash types. For example, a nighttime occurrence of vehicle-vehicle crashes was associated with more severe injury on expressways but not on national and provincial highways. On national highways, summer and fall were associated with more severe injury in vehicle-vehicle crashes and less severe injury in vehicle-person crashes. Guidance for safety programs can be derived from the study findings to address the different needs and conditions of road classes. For example, safety programs for national highways should focus on interventions for summer and fall and foggy conditions for reducing severity in vehicle-vehicle crashes and interventions in winter and spring, nighttime, and rainy/cloudy/foggy conditions in addressing vehicle-person crashes.

This paper was sponsored by TRB committee ANB10 Transportation Safety Management.

01550057

15-4528

English

15p

2015

Transportation Research Board 94th Annual Meeting

Web

References (26) ; Tables

Crash characteristics; Crash data; Crash injuries; Highway safety; Injury severity; Safety programs; Urban areas; Weather conditions

Korea

Highways; Safety and Human Factors; I81: Accident Statistics; I83: Accidents and the Human Factor

Transportation Research Board Annual Meeting 2015 Paper #15-4528

TRIS, TRB, ATRI

Dec 30 2014 1:29PM