A validation of the low mileage bias using naturalistic driving study data |
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| Institution: | 1. Virginia Tech Transportation Institute, 3500 Transportation Research Plaza, Blacksburg, VA 24060, United States;2. Department of Statistics (MC0439), Hutcheson Hall, RM 406-A, Virginia Tech, 250 Drillfield Drive, Blacksburg, VA 24061, United States;3. Virginia Tech Wake Forest University School of Biomedical Engineering and Sciences, 325 Stanger Street, MC 0298, Blacksburg, VA 24061, United States;1. Center for Injury Research and Prevention at the Children''s Hospital of Philadelphia, 3535 Market Street, Suite 1150, Philadelphia, PA, 19104, United States;2. Monash University Accident Research Centre, 21 Alliance Lane, Clayton VIC 3800, Melbourne, Australia;1. National Center for Injury Prevention and Control, Centers for Disease Prevention and Control, 4770 Buford Highway, N.E., MS F62, Atlanta, GA 30341, United States;2. Oak Ridge Institute for Science and Education, 1299 Bethel Valley Rd., Oak Ridge, TN 3783, United States;1. Centre for Environmental and Occupational Health Research (CEOHR), School of Public Health and Family Medicine, University of Cape Town, South Africa;2. Centre for Environmental and Occupational Health Research (CEOHR) and Division of Environmental Health, School of Public Health and Family Medicine, University of Cape Town, South Africa;1. Center for Vulnerable Road User Safety, Virginia Tech Transportation Institute, Blacksburg, VA 24060, USA;2. Virginia Tech Transportation Institute, Blacksburg, VA 24060, USA;3. Toyota Collaborative Safety Research Center, Ann Arbor, MI, USA;1. Technische Universität Chemnitz, 09107 Chemnitz, Germany;2. BMW Group, 80788 München, Germany |
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| Abstract: | IntroductionThis paper evaluated the low mileage bias (LMB) phenomenon for senior drivers using data mined from the Second Strategic Highway Research Program (SHRP 2) Naturalistic Driving Study. Supporters of the LMB construct postulate that it is only those seniors who drive the lowest annual mileage who are primarily responsible for the increased crash rates traditionally attributed to this population in general.MethodThe current analysis included 802 participants, all aged 65 or older who were involved in 163 property damage and injury crashes, and deemed to be at-fault in 123 (75%) of those instances. Poisson regression models were used to evaluate the association between annualized mileage driven and crash risk.ResultsResults show that the crash rate for drivers with lower annualized mileage (i.e., especially for those driving fewer than approximately 3000 miles per year) was significantly higher than that of drivers with higher annualized mileage, and that 25% of the overall sample were low- mileage drivers according to this criterion. Data were also evaluated by gender and meta-age group (i.e., younger-old: 65–74 and older-old: 75–99), and the results were consistent across these sub-groups.ConclusionsThis study provides strong support for the existence of the LMB.Practical applicationsThese results can help to reshape how transportation safety stakeholders view senior drivers in general and help them to focus their efforts on those seniors most in need of either risk-reducing countermeasures or alternative means of transportation. |
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