Spatial Scale of Clustering of Motor Vehicle Crash Types and Appropriate Countermeasures

Crashes occur for a variety of reasons and can be attributed to human, environmental (roadway/roadside), and vehicular factors, or to any combination of these. Some types of crashes may be more inherently "spatial" in their causation (e.g., run-off-road crashes), while others may be more "non-spatial" (e.g., inattentive driving, talking on the cell phone) and thus may be less causally linked to the locations at which they occur. Others may be somewhere in between, more likely to occur in certain areas but not necessarily at specific spots or stretches of roadway. In this project, a variety of crash types will be analyzed separately to assess their degree of clustering.

• Record URL:
  http://www.intrans.iastate.edu/mtc/index.cfm/research/project/project/-1863972383

Language

• English

Project

• Status: Completed
• Sponsor Organizations:

  University of Northern Iowa, Cedar Falls

  Office of Contracts and Grants
  Cedar Falls, IA  United States  50614-0135

  Midwest Transportation Consortium

  Iowa State University
  Ames, IA  United States  50010-8664
• Performing Organizations:

  University of Northern Iowa, Cedar Falls

  Office of Contracts and Grants
  Cedar Falls, IA  United States  50614-0135
• Principal Investigators:

  Strauss, Tim

• Start Date: 20070501
• Expected Completion Date: 0
• Actual Completion Date: 20090419
• Source Data: RiP Project 14349

Subject/Index Terms

• TRT Terms: Crash causes; Crash characteristics; Crash data; Crash locations; Crash rates; Crash severity; Crash types; Crashes; Highway safety; Research projects
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors;

Filing Info

• Accession Number: 01460284
• Record Type: Research project
• Source Agency: Midwest Transportation Consortium
• Files: UTC, RiP
• Created Date: Jan 3 2013 1:22PM