A Comprehensive Engineering Analysis of Motorcycle Crashes in Maryland

The goal of this study was to identify recurring or common road characteristics of motorcycle crashes in Maryland from 1998 to 2007. Motorcycle crash data were obtained from the National Highway Traffic Safety Administration’s Crash Outcome Data Evaluation System (CODES), and road inventory data were obtained from the Maryland State Highway Administration. Both sets of data were integrated, and fault tree analysis and variable selection methods were utilized to find the highest frequency crash cases. A categorical principal component analysis was used to specify the minimum number of variables that explain most of the observed variance. In addition, ordinal logistic models were developed to estimate the number of motorcycle crashes for road segments within each road class. The results of the logistic ordinal regression analysis show that area type, median type, speed limit, average annual daily traffic (AADT), international roughness index (IRI), and the number of through lanes affect the number of motorcycle crashes on Maryland road segments. Interestingly, government control and shoulder type were shown to have no significant impact on the number of motorcycle crashes. The developed ordinal logistic model can also calculate the number of motorcycle crashes for each road characteristic. Engineers and safety officials can use this study’s results to develop solutions for identified safety deficiencies.

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• Record URL:
  https://rosap.ntl.bts.gov/view/dot/18564
• Supplemental Notes:
  • This research was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  Morgan State University

  1700 East Cold Spring Lane
  Baltimore, MD  United States  21251

  Maryland State Highway Administration

  Office of Policy and Research, 707 North Calvert Street
  Baltimore, MD  United States  21202

  National Transportation Center

  Morgan State University, 1700 E Cold Spring Lane
  Baltimore, MD  United States  21251

  Research and Innovative Technology Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Authors:
  • Jeihani, Mansoureh
  • Mazloomdoust, Gholamhossein
  • Ghoseiri, Keivan
• Publication Date: 2010-12

Language

• English

Media Info

• Media Type: Web
• Edition: Final Report
• Features: Figures; References; Tables;
• Pagination: 74p

Subject/Index Terms

• TRT Terms: Annual average daily traffic; Fault tree analysis; Logistic regression analysis; Medians; Motorcycle crashes; Speed limits
• Identifier Terms: Crash Outcome Data Evaluation System; International Roughness Index
• Uncontrolled Terms: Area type; Road inventory data; Through lanes
• Geographic Terms: Maryland
• Subject Areas: Highways; Safety and Human Factors; I81: Accident Statistics;

Filing Info

• Accession Number: 01332467
• Record Type: Publication
• Report/Paper Numbers: MD-10-SP909B4J
• Contract Numbers: SP909B4J
• Files: UTC, NTL, TRIS, USDOT, STATEDOT
• Created Date: Mar 11 2011 4:22PM