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Analysis of precipitation-related motor vehicle collision and injury risk using insurance and police record information for Winnipeg, Canada
Abstract
Introduction Police records are the most common source of data used to estimate motor-vehicle collision risks, understand causal or contributing factors, and evaluate the efficacy of interventions. The literature notes concerns about this information citing discrepancies between police reports and other sources of injury occurrence and severity data. The primary objective of the analysis was to assess the adequacy of police reports for an examination of weather-related injury collision risk. Method Analyses of relative risk were carried out using both police records and comprehensive insurance claim data for Winnipeg, Canada over the period 1999-2001. Results and conclusions Both data sets yielded very similar results-precipitation substantially increases the risk of injury collision (police records: RR 1.76, CI 1.55-2.00; insurance: RR 1.80, CI 1.62-1.99) and risk of injury (police records, RR 1.74, CI 1.55-1.96; insurance, RR 1.69, CI 1.55-1.85) relative to corresponding dry weather control periods. Both rainfall and snowfall were associated with large increases in collisions and injuries. Impact on industry While relative risks are almost identical, over 64% more injury collisions and 74% more injuries were identified using the insurance data, which is an important difference for evaluating absolute risk and exposure.
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“police reports do not capture non-collision-related injuries [11]”
From Comparative safety performance of autonomous- and human drivers: A real-world case study of the Waymo Driver (2024) · cites this paper as [11]
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Research works printed but not linked: 38
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Metadata
- Authors
- Mills, B. N., Andrey, J., & Hambly, D.
- Affiliations
- University of Waterloo (CA)
- Corresponding author
- Mills, Brian N.
- ORCID
- Mills, Brian N.
- Venue
- Journal of Safety Research
- Publisher
- Elsevier BV
- Published
- 2011-10
- Volume
- 42
- Issue
- 5
- Pages
- 383-390
- ISSN
- 0022-4375 (ISSN-L)
- OpenAlex
- W2048163619
- Cited by
- 53
- References
- 0
- Citations by year
- 2025: 2 · 2024: 2 · 2023: 2 · 2022: 3 · 2021: 6 · 2020: 6 · 2019: 4 · 2018: 8 · 2017: 1 · 2016: 5 · 2015: 8 · 2014: 1 · 2013: 1 · 2012: 3
- FWCI
- 6.31
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Safety Research (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Health Canada
- Topics
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Traffic and Road Safety
- Physical Sciences › Engineering › Civil and Structural Engineering › Road Transport and Highway Systems
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Injury Epidemiology and Prevention
- Keywords
- precipitation, traffic accidents, road traffic injuries, police records, insurance claims, data source comparability, rainfall, snowfall, relative risk, exposure assessment, Winnipeg
- MeSH terms
- Accidents, Traffic, Automobile Driving, Automobiles, Humans, Insurance, Accident, Manitoba, Rain, Risk, Snow, Visual Perception, Wounds and Injuries, Confidence Intervals, Police, Risk Assessment
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