Road accident statistics: discrepancies between police and hospital data in a French island

Aptel, Isabelle; Salmi, Louis‐Rachid; Masson, F.; Bourdé, A.; Henrion, G.; Erny, P.

doi:10.1016/s0001-4575(98)00051-7

Cited by 69 publications

(41 citation statements)

References 17 publications

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“…The number of injured bus road users are also highly underreported, possibly because there are many road users injured in these types of road crashes and the police does not have time to collect info on all road users. The reporting rate for injured road user registered by the police is a bit lower than the numbers found in other studies (Amoros et al, 2007;Aptel et al, 1999), possibly because the police in Denmark only has to report the crash if the police officer at the crash scene think that this road crash is serious enough or if the road user wants to use the report for an insurance case.…”

Section: Conclusion and Discussioncontrasting

confidence: 58%

“…Most studies focused on a small subgroup of road users or specific crashes, such as road crashes with work-related vehicles (Thomas et al, 2012), cyclist or pedestrian involved crashes (Tin et al, 2012;Dhillon et al, 2001;Roberts & Scragg, 1994), heavy vehicles involved crashes (Meuleners et al, 2006), road crashes involving children or young people (Roberts & Scragg, 1994;Morrison & Stone, 2000;Dhillon et al, 2001), fatal crashes (Lateef, 2010) or serious injury crashes (Amoros et al, 2007). Only a few studies include all injuries group and all types of road users (Martinez et al, 2012;Tercero & Andersson, 2004;Aptel et al, 1999).…”

Section: Introductionmentioning

confidence: 99%

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Understanding traffic crash under-reporting: Linking police and medical records to individual and crash characteristics

Janstrup

Kaplan

Hels

et al. 2016

Traffic Injury Prevention

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While national crash databases are a valuable resource for the analysis of crash frequency and severity, these databases consist of police reports that are known to be heavily under-reported. This study aligns to the body of research dedicated to estimating the under-reporting rate of crashes by employing the capture-recapture method on available medical and police records. Data consist of records of road users who reported their involvement in a road crash to the police or emergency rooms on the island of Funen in Denmark between 2003 and 2007. Moreover, this study estimates the likelihood for road users reported in police records to appear in hospital records (and vice versa) by estimating joint binary logit models. Results show that the likelihood of appearing in both datasets is positively related to helmet and seat-belt use, number of motor vehicles involved, alcohol involvement, higher speeds and lane number, and females injured. Marital status and education level are not found to be associated with the probability of reporting both to the hospital and the police.

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Section: Conclusion and Discussioncontrasting

confidence: 58%

Section: Introductionmentioning

confidence: 99%

Understanding traffic crash under-reporting: Linking police and medical records to individual and crash characteristics

Janstrup

Kaplan

Hels

et al. 2016

Traffic Injury Prevention

View full text Add to dashboard Cite

show abstract

“…8 Incomplete reporting of crash data has been known to be a major problem in highway safety analysis for many years (Elvik and Mysen, 1999). The research on this topic has shown that fatal crashes are the most likely to be reported, while no-injury collisions are the ones most likely not to be reported (Aptel et al, 1999). Hauer and Hakkert (1988) and James (1991) have shown that the probability that a crash will be reported varies not only as a function of the crash severity but also as a function of reporting agency (city, regions, and so on).…”

mentioning

confidence: 99%

The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives

Lord

Mannering

2010

Transportation Research Part A: Policy and Practice

944

723

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“…Crash data from the police are among the most reliable and dependable data sources for road traffic crash analyses (Aptel et al, 1999;de Oña, López, & Abellán, 2013;Kudryavtsev et al, 2013;Tsui, So, Sze, Wong, & Leung, 2009). These databases usually contain information regarding casualty injury severity, characteristics of the road user, temporal and road environment characteristics, alcohol and drug use status of accident victims and vehicle conditions.…”

Section: Sources Of Data For Assessing Alcohol-impaired Road Usementioning

confidence: 99%

The Prevalence of Alcohol Use among Road Users and Its Impact on Traffic Crash Severity in Ghana

Derry¹

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This program of research, which was guided by Haddon's Matrix and deterrence theory conceptual frameworks, essentially had five core objectives. These objectives were examined through five independent studies. The studies were broadly interwoven to clarify understanding in three broad thematic areas relating to the impact of alcohol use on road traffic crashes in Northern Ghana: (a) general behaviour (i.e., knowledge, attitudes and practices) regarding alcohol impairment as a risk factor for ii Alcohol Use and Traffic Crash Severity in Ghana road users, (b) police reported alcohol and illicit drug use and the relative risk of road traffic crashes, and (c) the impact of alcohol use on road traffic injury severity.Study 1 (Chapter 5) primarily aimed to determine knowledge, attitudes and practices regarding alcohol drinking and driving in three cities in Ghana. The study was a survey conducted at washing bays, lorry terminals and fuel stations. Study 1 established that 24% of all motorists and 54% of motorists who were current alcohol users reported having driven within an hour after consuming alcohol. Current alcohol users typically consume four standard drinks per drinking occasion. Further, participants who were current alcohol users were significantly more likely to be arrested for traffic violations compared with non-alcohol users. It was apparent that enforcement of drink-driving law and motorists' knowledge of the BAC law were low.

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Road accident statistics: discrepancies between police and hospital data in a French island

Cited by 69 publications

References 17 publications

Understanding traffic crash under-reporting: Linking police and medical records to individual and crash characteristics

Understanding traffic crash under-reporting: Linking police and medical records to individual and crash characteristics

The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives

The Prevalence of Alcohol Use among Road Users and Its Impact on Traffic Crash Severity in Ghana

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