Literature DB >> 22093573

Analysis of precipitation-related motor vehicle collision and injury risk using insurance and police record information for Winnipeg, Canada.

Brian N Mills1, Jean Andrey, Derrick Hambly.   

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. Crown
Copyright © 2011. Published by Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 22093573     DOI: 10.1016/j.jsr.2011.08.004

Source DB:  PubMed          Journal:  J Safety Res        ISSN: 0022-4375


  6 in total

1.  Database improvements for motor vehicle/bicycle crash analysis.

Authors:  Anne C Lusk; Morteza Asgarzadeh; Maryam S Farvid
Journal:  Inj Prev       Date:  2015-04-02       Impact factor: 2.399

2.  Does Temperature Modify the Effects of Rain and Snow Precipitation on Road Traffic Injuries?

Authors:  Won-Kyung Lee; Hye-Ah Lee; Seung-sik Hwang; Ho Kim; Youn-Hee Lim; Yun-Chul Hong; Eun-Hee Ha; Hyesook Park
Journal:  J Epidemiol       Date:  2015-06-13       Impact factor: 3.211

3.  Adverse weather conditions and fatal motor vehicle crashes in the United States, 1994-2012.

Authors:  Shubhayu Saha; Paul Schramm; Amanda Nolan; Jeremy Hess
Journal:  Environ Health       Date:  2016-11-08       Impact factor: 5.984

4.  The association between meteorological factors and road traffic injuries: a case analysis from Shantou city, China.

Authors:  Jinghong Gao; Xiaojun Chen; Alistair Woodward; Xiaobo Liu; Haixia Wu; Yaogui Lu; Liping Li; Qiyong Liu
Journal:  Sci Rep       Date:  2016-11-17       Impact factor: 4.379

5.  Estimating time-to-contact when vision is impaired.

Authors:  Heiko Hecht; Esther Brendel; Marlene Wessels; Christoph Bernhard
Journal:  Sci Rep       Date:  2021-10-27       Impact factor: 4.379

6.  Rainfall-induced hydroplaning risk over road infrastructure of the continental USA.

Authors:  Kaustubh Anil Salvi; Mukesh Kumar
Journal:  PLoS One       Date:  2022-08-31       Impact factor: 3.752

  6 in total

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