Literature DB >> 19068306

In defence of the 'low-mileage bias'.

Jim Langford1, Sjaanie Koppel, Dennis McCarthy, Sivaramakrishnan Srinivasan.   

Abstract

There has been a long-recognised association between extent of driving and crash involvement: the lower the annual mileage driven, the higher the per-distance crash rate. Because older drivers generally drive less distance per year than others, this association has been used to explain much of their apparent over-involvement in crashes. Several studies from different countries around the world have demonstrated this 'low-mileage bias' and the relative safety of older drivers. However all studies have relied upon self-reported crash involvement and driving activity. Staplin et al. [Staplin, L., Gish, K., Joyce, J., 2008. 'Low mileage bias' and related policy implications-a cautionary note. Accident Analysis and Prevention 40, 1249-1252] have drawn attention to the discrepancy between self-reported and odometer-based driving distances and have argued against the credibility of the low-mileage bias. This paper has re-worked initial data from an early study which supported low-mileage bias, this time using odometer-based readings rather than self-reported mileage. Accepting the odometer readings at face value, the low-mileage bias remains evident, albeit at a reduced level.

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Year:  2008        PMID: 19068306     DOI: 10.1016/j.aap.2008.08.027

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  8 in total

1.  COMPARING THE IMPAIRMENT PROFILES OF OLDER DRIVERS AND NON-DRIVERS: TOWARD THE DEVELOPMENT OF A FITNESS-TO-DRIVE MODEL.

Authors:  Jonathan F Antin; Thurmon E Lockhart; Laura M Stanley; Feng Guo
Journal:  Saf Sci       Date:  2012-02-01       Impact factor: 4.877

2.  Vision, Driving Exposure, and Collisions in Bioptic Drivers.

Authors:  Alicia M Zhou; Roanne E Flom; Thomas W Raasch; Ellen E Segerstrom; Bradley E Dougherty
Journal:  Optom Vis Sci       Date:  2022-02-01       Impact factor: 1.973

3.  Adaptive response criteria in road hazard detection among older drivers.

Authors:  Jing Feng; HeeSun Choi; Fergus I M Craik; Brian Levine; Sylvain Moreno; Gary Naglie; Motao Zhu
Journal:  Traffic Inj Prev       Date:  2017-11-27       Impact factor: 1.491

4.  Comparing distance and time as driving exposure measures to evaluate fatal crash risk ratios.

Authors:  Sijun Shen; Marco H Benedetti; Songzhu Zhao; Lai Wei; Motao Zhu
Journal:  Accid Anal Prev       Date:  2020-05-14

5.  Risk-Exposure Density and Mileage Bias in Crash Risk for Older Drivers.

Authors:  Jonathan J Rolison; Salissou Moutari
Journal:  Am J Epidemiol       Date:  2018-01-01       Impact factor: 4.897

6.  Adolescent driving behavior before and during restrictions related to COVID-19.

Authors:  Despina Stavrinos; Benjamin McManus; Sylvie Mrug; Harry He; Bria Gresham; M Grace Albright; Austin M Svancara; Caroline Whittington; Andrea Underhill; David M White
Journal:  Accid Anal Prev       Date:  2020-07-16

7.  Exposure-based, 'like-for-like' assessment of road safety by travel mode using routine health data.

Authors:  Jennifer S Mindell; Deborah Leslie; Malcolm Wardlaw
Journal:  PLoS One       Date:  2012-12-05       Impact factor: 3.240

8.  Comorbidities and crash involvement among younger and older drivers.

Authors:  Michela Papa; Virginia Boccardi; Raffaele Prestano; Edith Angellotti; Manuela Desiderio; Luigi Marano; Maria Rosaria Rizzo; Giuseppe Paolisso
Journal:  PLoS One       Date:  2014-04-10       Impact factor: 3.240

  8 in total

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