Time vs. distance as measures of exposure in driving surveys

Chipman, Mary L.; MacGregor, Carolyn; Smiley, Alison; Lee‐Gosselin, Martin

doi:10.1016/0001-4575(92)90021-a

Cited by 75 publications

(30 citation statements)

References 5 publications

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“…The conclusions reached would be similar if the main factors associated with responsibility had the same distribution across driver ages. This is not, for example, the case for alcohol which has been found to be the main factor associated with responsibility (Robertson and Drummer, 1994;Laumon et al, 2005): the literature shows that older drivers are under-represented in crashes involving drink-driving or speeding (Chipman et al, 1992;Hakamies-Blomqvist, 1993;Hakamies-Blomqvist, 1994;Laumon et al, 2005). Consequently, the Equal Contribution Method overestimates the contribution of older drivers.…”

Section: Discussionmentioning

confidence: 99%

The impact of driver age on lost life years for other road users in France: A population based study of crash-involved road users

Lafont¹,

Amoros²,

Gadegbeku³

et al. 2008

Accident Analysis & Prevention

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Section: Discussionmentioning

confidence: 99%

The impact of driver age on lost life years for other road users in France: A population based study of crash-involved road users

Lafont¹,

Amoros²,

Gadegbeku³

et al. 2008

Accident Analysis & Prevention

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“…For younger drivers, the presence of passengers positively influenced the crash rate, and this effect varied across age groups and gender. G G Chipman et al (1992) created an exposure index incorporating both travel time and distance. They then stratified their Ontario licensed-drivers sample on the basis of age (six levels), gender, and region (three levels) and compared exposure-normalized accident and fatality rates.…”

Section: G Gmentioning

confidence: 99%

Driver injury severity: an application of ordered probit models

Kockelman¹,

Kweon²

2002

Accident Analysis & Prevention

482

230

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This paper describes the use of ordered probit models to examine the risk of different injury levels sustained under all crash types, two-vehicle crashes, and single-vehicle crashes.The results suggest that pickups and sport utility vehicles are less safe than passenger cars under single-vehicle crash conditions. In two-vehicle crashes, however, these vehicle types are associated with less severe injuries for their drivers -and more severe injuries for occupants of their collision partners. Other conclusions also are presented; for example, the results indicate that males and younger drivers in newer vehicles at lower speeds sustain less severe injuries. KEY WORDSAccident/crash modeling, Driver injury, Light-duty trucks, Crashworthiness, Vehicle aggressivity G G

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“…Evidence suggests that both younger and older persons drive less. For example, Chipman et al (1992) found that drivers under 20 years of age drove approximately 23% less in distance and time, while drivers aged 60-69 drove about 33% less distance and 19% less time than drivers 25-59 years of age. However, younger persons are more exposed as pas- sengers, compared to other age groups (Jelalian et al, 2000).…”

Section: Discussionmentioning

confidence: 99%

“…These variables could affect exposure; for example, males drive more than females and therefore are at greater risk of being involved in a MVC (Chipman et al, 1992(Chipman et al, , 1993. Additionally, variables such as, binge drinking, distress, certain health problems, and medications can cause impairment which could increase susceptibility for MVC injuries.…”

Section: Introductionmentioning

confidence: 99%