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Quakertown, PA, United States

Staplin L.,TransAnalytics LLC | Freund K.,ITNAmerica
Accident Analysis and Prevention | Year: 2013

This paper advocates policy change in three key areas: infrastructure, driver licensing, and access to private resources for transportation alternatives. Policy makers are encouraged to plan for the transportation future of our aging society by prioritizing public expenditures for roads and highways according to design and engineering practices already proven to assist older drivers and pedestrians. By adopting minimum, evidence-based requirements for visual, mental and physical capability for licensure and uniformly applying them at all ages, across all states, policy makers can improve the safety of older drivers without unfairly restricting their mobility - and need not increase the regulatory burden in doing so. By reviewing and replicating already successful state policies that either create incentives or remove barriers to the use of private resources for non-profit, senior transportation, policy makers can help communities access the labor and capital, as well as manage the risks of market-oriented, non-profit mobility solutions. © 2013 Elsevier Ltd. Source

Dickerson A.E.,East Carolina University | Davis E.S.,AOTA | Staplin L.,TransAnalytics LLC
Occupational Therapy in Health Care | Year: 2014

Communication through a shared understanding is essential with multidisciplinary groups. The objective of this paper is to discuss and illustrate how licensing authorities, researchers, practitioners (clinicians), and consumers do not share the same understanding of key terminology related to safe and competent driving. Ongoing and planned work that aims to develop a resource to promote shared understanding of terms relating to driver testing, evaluation, and rehabilitation is then highlighted. © 2014 Informa Healthcare USA, Inc. Source

Sixty-seven older adults were assessed using multiple validated tools. The current study aimed to identify high-, medium-, and low-risk impairment among older drivers and to explore high-risk drivers' reactions to being told their results. Of 67 adults screened from a convenience sample of older drivers, nine high-risk participants, four completed in-depth follow-up qualitative interviews. The quantitative assessment algorithm identified 13% as high risk, 30% as medium risk, and 57% as low risk, and only Trails B distinguished the medium- and high-risk impairment groups. Although the assessment tests did not predict future crash involvement over a 7-month period, four participants in the medium- and high-risk impairment categories had been involved in a crash during the 5 years prior to the study compared with none of those who screened low risk. Only three participants (1 high risk) voluntarily surrendered their driver's licenses after the assessment, and one participant in the in-depth interviews reported that the assessment influenced the decision to stop driving. There may be some benefit in using driving record history and assessment results to determine driving risk impairment level. However, more research is needed to determine the best combination of tools to predict risk level. How to best communicate risk levels remains to be determined, although results from the older drivers in this study underscore the need for great sensitivity when identifying areas of concern about driving ability. © The Author(s) 2011. Source

McConomy S.,CU ICAR | Brooks J.,CU ICAR | Venhovens P.,CU ICAR | Xi Y.,CU ICAR | And 4 more authors.
SAE Technical Papers | Year: 2016

The research objective was to measure and understand the preferred seat position of older drivers and younger drivers within their personal vehicles to influence recommended practices and meet the increased safety needs of all drivers. Improper selection of driver's seat position may impact safety during a crash event and affect one's capacity to see the roadway and reach the vehicle's controls, such as steering wheel, accelerator, brake, clutch, and gear selector lever. Because of the stature changes associated with ageing and the fact that stature is normally distributed for both males and females, it was hypothesized that the SAE J4004 linear regression would be improved with the inclusion of gender and age terms that would provide a more accurate model to predict the seat track position of older drivers. Participants included 97 older drivers over the age of 60 and 20 younger drivers between the ages of 30 to 39. Data were collected within the driver's personal vehicle to obtain natural, driver selected seat position. A hierarchical, multivariable, linear regression technique was used to improve upon the current SAE J4004 driver selected seat position equation. Results show that the addition of a gender term to the SAE J4004 recommended model for predicting driver selected seat position of any driver provided an insignificant contribution to the model; whereas, the addition of an age term to the same SAE J4004 is a statistically significant contribution to the model, thereby yielding a 2.5% increase in the fit of the model and accuracy of the predicted seat position. Copyright © 2016 SAE International. Source

Lococo K.H.,TransAnalytics LLC | Decina L.E.,TransAnalytics LLC | Branche J.,Medical Review Services | Wagner E.M.,U.S.DOT National Highway Traffic Safety Administration
Journal of Safety Research | Year: 2013

Introduction Medically at-risk drivers come to the attention of licensing authorities through referrals from a variety of sources, including: physicians, family members, court systems, and law enforcement. A recently sponsored project by the National Highway Traffic Safety Administration examined a training intervention for law enforcement to increase their awareness of medical conditions and medications that impair driving and the procedures for reporting these drivers in Virginia. Method A component of this project included an evaluation of the medical review process and licensing outcomes for 100 drivers randomly selected from a pool of over 1,000 drivers referred from law enforcement officers to the Virginia Department of Motor Vehicles over a 6-month period in 2007 and 2008 prior to any training program intervention. Results Key findings from the evaluation of 100 drivers referred for medical review by law enforcement were as follows. Over two-thirds of the drivers came to the attention of the referring officer because they were involved in a crash. The most prevalent indications of a medical condition or functional impairment provided by law enforcement for these referrals were: loss of consciousness, blackout, or seizures (28%); disorientation, confusion, and mental disability (16%); and physical impairments (8%). Eighty-eight percent of the drivers received some type of licensing action (e.g., restriction, suspension, or periodic review). Only 12% of the referred drivers did not require any licensing action. Conclusions Law enforcement provides a vital role in the identification and referral of medically impaired drivers to licensing authorities for reexamination. Training programs can inform law enforcement officers of the signs of medical impairment (both on-road behavior, and physical and psychological clues once a driver has been pulled over), and procedures for reporting their observations and concern for safety to licensing authorities. Impact on Industry Reexamination of drivers with functional and medical impairments and any consequent restrictions and/or periodic reporting requirements can improve the safety and mobility of these drivers, and the motoring public as well. © 2013 Elsevier Ltd. Source

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