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A comprehensive engineering analysis of motorcycle crashes in Maryland.

File Language:
English


Details

  • Creators:
    Jeihani, Mansoureh ORCID ICON IMG ; Mazloomdoust, Gholamhossein ; Ghoseiri, Keivan
  • Corporate Creators:
    Morgan State University
  • Corporate Contributors:
    Maryland. State Highway Administration. Office of Policy & Research
  • Subject/TRT Terms:
  • Publication/ Report Number:
    MD-10-SP909B4J
  • Resource Type:
    Tech Report
  • Geographical Coverage:
    Maryland
  • Corporate Publisher:
    Maryland. State Highway Administration. Office of Policy & Research
  • Abstract:
    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 was obtained from the National Highway ; Traffic Safety Administration’s Crash Outcome Data Evaluation System (CODES), and road ; inventory data was 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.
  • Format:
    PDF
  • Funding:
    SP909B4J
  • Download URL:
    https://rosap.ntl.bts.gov/view/dot/18564/dot_18564_DS1.pdf
  • File Type:
    Filetype[PDF - 887.19 KB]
  • Collection(s):
    US Transportation Collection
  • Main Document Checksum:
    urn:sha-512:c19ed6f5158cd02629ba74202ace30142260a17a0a8be778a4acdb78d0d1d6321974e267430602ec23e9fb33f6e3183fa9001b316798d289b38a3e2f1fb48252
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