Factors affecting the severity of motor vehicle traffic crashes involving elderly drivers in Ontario

Zhang, Jun; Lindsay, Joan; Clarke, Kaila-Lea; Robbins, Glenn; Mao, Yang

doi:10.1016/s0001-4575(99)00039-1

Cited by 182 publications

(103 citation statements)

References 30 publications

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“…To test this, we will perform traffic injury analysis for each traffic accident. We will apply the multinomial logit model, which is the most widely applied discrete-outcome modeling approach for accident-severity analysis (Zhang et al, 2000;Bédard et al, 2002;Al-Ghamdi, 2002;Islam and Mannering, 2006;Ulfarsson and Mannering, 2004;Kim et al, 2007, Carson andMannering, 2001;Shankhar and Mannering, 1996;Valent et al, 2002;Yau, 2004). Our injury risk analysis mainly follows the work of Ulfarsson and Mannering (2004), Islam and Mannering (2001) and Kim et al (2007).…”

Section: Statistical Approachmentioning

confidence: 99%

“…A common approach is to focus on a very specific traffic accident type. Examples are Bédard et al (2002) who focus on single-vehicle crashes with fixed objects in their analysis, Zhang et al (2000) investigating older drivers involved in injury motor vehicle crashes on public roads, Zajac and Ivan's research (2003) which focuses on pedestrians and several other studies which focus on a specific vehicle type such as sport utility vehicles (Ulfarsson and Mannering, 2004) or motorcycles (Shankar and Mannering, 1996;Quddus et al, 2002). Mannering (2004) concluded in their work that there are significant differences in magnitude between males and females with regard to how various factors affect injury severity.…”

Section: Introductionmentioning

confidence: 99%

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Traffic accident segmentation by means of latent class clustering

Depaire

Wets

Vanhoof

2008

Accident Analysis & Prevention

211

117

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Section: Statistical Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Traffic accident segmentation by means of latent class clustering

Depaire

Wets

Vanhoof

2008

Accident Analysis & Prevention

211

117

View full text Add to dashboard Cite

“…As individuals grow older, they are more likely to experience a decline in cognitive function that can affect their ability to safely operate a motor vehicle, potentially putting themselves and others at risk. In fact, drivers over the age of 65 have a higher rate of motor vehicle collisions per mile driven than middle-aged drivers (Li et al, 2003) and when injured in a collision, they are more likely to die or sustain serious injury (Zhang et al, 2000, Bédard et al, 2002. Literature to date suggests that cognitive impairment in later life does not predict self-regulation or perceptions of driving abilities (Ball et al, 2006;Crizzle et al, 2013;Kowalski et al, 2011;Molnar & Eby, 2008), and hence the risk to road safety may be particularly concerning.…”

Section: Introductionmentioning

confidence: 99%

The relationship between cognitive performance, perceptions of driving comfort and abilities, and self-reported driving restrictions among healthy older drivers

Rapoport

Naglie

Weegar

et al. 2013

Accident Analysis & Prevention

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The objective of the present study was to examine the relationship between cognitive performance, driver perceptions and self-reported driving restrictions. A cross-sectional analysis was conducted on baseline data from Candrive II, a five-year prospective cohort study of 928 The baseline data indicates this cohort is largely a cognitively intact group. Univariate regression analysis showed that longer Trails A and B completion times were significantly, but only modestly associated with reduced driving frequency and perceived driving abilities and comfort, as well as a significant tendency to avoid more difficult driving situations (all p < .05). Most of these associations persisted after adjusting for age and sex, as well as indicators of health, vision, mood and physical functioning. Exceptions were Trails A and B completion times and situational driving frequency, as well as time to complete Trails B and current driving restrictions. After adjusting for the confounding factors, the total MoCA score was not associated with any of the driving measure scores while the number of errors on Trails A was significantly associated only with situational driving frequency and number of errors on Trails B was significantly associated only with situational driving avoidance. Prospective follow-up will permit examination of whether baseline cognition or changes in cognition are associated with changes in driver perceptions, actual driving restrictions and on-road driving outcomes (e.g., crashes, violations) over time.4

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“…Drivers aged 70-74, 75-79 and 80 are 1.37, 1.42, and 2.26 times respectively as likely to be involved in fatal-crashes as compared with drivers at the age of 65-69 23) .…”

Section: The Netherlandsmentioning

confidence: 93%

Traffic Safety of Elderly Road User: The Global Trend and the Japanese Case

et al. 2016

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Along with population aging phenomenon, the problems of traffic safety of elderly people is increasingly worsening. Unsurprisingly, numerous studies on this issue have been carried out. However, a meta-review to find out global trends of this has not been observed. The goal of this study is to depict an overall picture of the literature based on a meta revision of well over one hundred related studies, in which the most common findings as well as shortcoming issues are identified. A further effort is made to validate those findings in the case of Japan. The results show that aged people are at a remarkably high risk of traffic accidents largely due to their higher frequency of failures, especially among non-automobile travelers. Their failures could be often resulted from the neurological and physical impairments because of the aging effects. Analyses made on statistical data of Japan showed that Japanese older drivers were not in the same situation as their counterparts in other nations, that is they did not have a higher frequency of failures compared to their young counterparts. Interestingly, improper steering and/or braking was the most common cause of failures which result in traffic accident among the elderly, compared to careless driving of all other age groups. From these findings, suggestions for future research to improve traffic safety situation of the elderly in general, and in particular Japanese context are proposed.

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Factors affecting the severity of motor vehicle traffic crashes involving elderly drivers in Ontario

Cited by 182 publications

References 30 publications

Traffic accident segmentation by means of latent class clustering

Traffic accident segmentation by means of latent class clustering

The relationship between cognitive performance, perceptions of driving comfort and abilities, and self-reported driving restrictions among healthy older drivers

Traffic Safety of Elderly Road User: The Global Trend and the Japanese Case

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