Abstract By 2030, one in every five Americans will be 65 or older. To better serve the mobility needs of a rapidly aging population, a better understanding of older adults' driving behavior is needed. This study explores the impact of health on driving reduction for America's older adults, using a nationwide, longitudinal dataset from the Health and Retirement Study (HRS). I propose two outcome variables: having driven in the past month, and having driven beyond nearby places; and measure health using overall self-rated health status and specific sensory, mobility and physical conditions. Controlling for socio-demographics, residential patterns, personal fixed effects, time fixed effects, and regional fixed effects, I find that older adults with lower self-rated health were less likely to drive or drive beyond nearby places. The magnitudes of such effects vary by race but not by gender. I also identify specific health conditions that could predict driving reduction. The findings imply that in the near future, there will be a large number of older adults suffering from unmet travel demands due to declining health conditions. Hence, planners and policy makers should be proactive in seeking for solutions, including using my findings to identify at-risk older drivers and provide various types of mobility assistance.

    Highlights Impact of health on driving for Americans 65 and older were examined using HRS data. Longitudinal data helps to control for personal- and regional-specific confounders. Older adults with worse overall health were less likely to drive in the past month. Older adults with worse overall health were less likely to drive in long distances. Specific health conditions that could predict driving reductions were identified.


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    Title :

    Impact of health on driving for America's older adults: A nationwide, longitudinal study


    Contributors:
    Wang, Xize (author)

    Published in:

    Transport Policy ; 120 ; 69-79


    Publication date :

    2022-02-11


    Size :

    11 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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