Hannah King
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Hannah King has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Evelyn Blumenberg
University of California, Los Angeles (UCLA), Los Angeles, USA
3 shared publications - Andrew Schouten
Asia Univ, Fac Urban Innovat, 5-8 Sakai, Musashino, Tokyo, Japan
1 shared publication - Brian D. Taylor
UCLA Institute of Transportation Studies, Los Angeles, CA
1 shared publication - Jacob L. Wasserman
UCLA Institute of Transportation Studies
1 shared publication Martin Wachs
UCLA Luskin School of Public Affairs
1 shared publication- Martin Wachs
Urban Planning, UCLA Luskin School of Public Affairs, Los Angeles, USA
1 shared publication
Latest Publications
- Open Access
Young workers, jobs-housing balance, and commute distance: Findings from two high-housing-cost U.S. regions
- 23 July 2022
- Published by Springer Nature
- p. 63-78
LOST and Found: The Fall and Rise of Local Option Sales Taxes for Transportation in California Amidst the Pandemic
- 23 July 2022
- Published by Springer Nature
- p. 63-78
LOST and Found: The Fall and Rise of Local Option Sales Taxes for Transportation in California Amidst the Pandemic
- 19 May 2021
- Published by Taylor & Francis in Journal of the American Planning Association
- Vol. 87 (4) , 484-496
Jobs–Housing Balance Re-Re-Visited
In many U.S. metropolitan areas housing costs have skyrocketed in recent years relative to average incomes. A worsening shortage of affordable housing in these metros may push households away from ...
- 19 May 2021
- Published by Taylor & Francis in Journal of the American Planning Association
- Vol. 87 (4) , 484-496
Jobs–Housing Balance Re-Re-Visited
In many U.S. metropolitan areas housing costs have skyrocketed in recent years relative to average incomes. A worsening shortage of affordable housing in these metros may push households away from ...
- Open Access
- 15 May 2021
- Published by Springer Nature in Transportation
- Vol. 49 (3) , 841-865
Cohort analysis of driving cessation and limitation among older adults
Automobiles are central to participation in economic, social, and cultural activities in the United States. The ability to drive as one ages is fundamental to the quality of life among older adults. Driving rates decline significantly with age. Researchers using cross-sectional data have studied the reasons former drivers have stopped driving, but few have followed individuals over time to examine changes in relationships among driving cessation, socio-demographics, and health conditions. We used longitudinal data from a national sample of 20,000 observations from the University of Michigan Health and Retirement Study (HRS) to examine relationships among demographic variables, health conditions, and driving reduction and driving cessation. Longitudinal data allow analysis of generational differences in behavior, a major advantage over cross-sectional data which only allow comparisons of different people at one point in time. We found, like many other studies, that personal decisions to limit and eventually stop driving vary with sex, age, and health conditions. In addition, unlike most previous studies, we also found that those relationships differ by birth cohort with younger cohorts less likely to stop and limit their driving than their older counterparts. The findings indicate an evolution in the association between driving cessation and its causes.
- 15 May 2021
- Published by Springer Nature in Transportation
- Vol. 49 (3) , 841-865
Open AccessCohort analysis of driving cessation and limitation among older adults
Automobiles are central to participation in economic, social, and cultural activities in the United States. The ability to drive as one ages is fundamental to the quality of life among older adults. Driving rates decline significantly with age. Researchers using cross-sectional data have studied the reasons former drivers have stopped driving, but few have followed individuals over time to examine changes in relationships among driving cessation, socio-demographics, and health conditions. We used longitudinal data from a national sample of 20,000 observations from the University of Michigan Health and Retirement Study (HRS) to examine relationships among demographic variables, health conditions, and driving reduction and driving cessation. Longitudinal data allow analysis of generational differences in behavior, a major advantage over cross-sectional data which only allow comparisons of different people at one point in time. We found, like many other studies, that personal decisions to limit and eventually stop driving vary with sex, age, and health conditions. In addition, unlike most previous studies, we also found that those relationships differ by birth cohort with younger cohorts less likely to stop and limit their driving than their older counterparts. The findings indicate an evolution in the association between driving cessation and its causes.