The Statistical Analysis of Crash-Frequency Data: A review and Assessment of Methodological Alternatives
Gaining a better understanding of the factors that affect the likelihood of a vehicle crash has been an area of research focus for many decades. However, in the absence of detailed driving data that would help improve the identification of cause and effect relationships with individual vehicle crashes, most researchers have addressed this problem by framing it in terms of understanding the factors that affect the frequency of crashes - the number of crashes occurring in some geographical space (usually a roadway segment or intersection) over some specified time period. This paper provides a detailed review of the key issues associated with crash-frequency data as well as the strengths and weaknesses of the various methodological approaches that researchers have used to address these problems. While the steady march of methodological innovation (including recent applications of random parameter and finite mixture models) has substantially improved our understanding of the factors that affect crash-frequencies, it is the prospect of combining evolving methodologies with far more detailed vehicle crash data that holds the greatest promise for the future.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/09658564
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Supplemental Notes:
- Abstract reprinted with permission from Elsevier.
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Authors:
- Lord, Dominique
- Mannering, Fred
- Publication Date: 2010-6
Language
- English
Media Info
- Media Type: Print
- Features: References; Tables;
- Pagination: pp. 291-305
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Serial:
- Transportation Research Part A: Policy and Practice
- Volume: 44
- Issue Number: 5
- Publisher: Elsevier
- ISSN: 0965-8564
- Serial URL: http://www.sciencedirect.com/science/journal/09658564
Subject/Index Terms
- TRT Terms: Crash data; Crash rates; High risk locations; Highway safety; Human factors in crashes; Traffic counts; Traffic crashes
- Old TRIS Terms: Regression models
- Subject Areas: Highways; Safety and Human Factors; I80: Accident Studies;
Filing Info
- Accession Number: 01157813
- Record Type: Publication
- Files: TRIS, ATRI
- Created Date: May 30 2010 7:44AM