0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessLower household income is one of the strongest predictors of poor health. In this viewpoint, we explore an understudied pathway between household income and health: automobile dependence. We argue that the provision of policies that reduce automobile dependence, and facilitate active and affordable modes of travel (i.e. walking, cycling and public transport), may mitigate poorer health among individuals from lower-income households. Policies and environments that support active travel are likely to have particularly strong health and economic benefits for lower-income residents.
Jerome N. Rachele, Takemi Sugiyama, Gavin Turrell, Aislinn M. Healy, James Sallis (2017). Automobile dependence: A contributing factor to poorer health among lower-income households. Journal of Transport & Health, 8, pp. 123-128, DOI: 10.1016/j.jth.2017.11.149.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2017
Authors
5
Datasets
0
Total Files
0
Language
English
Journal
Journal of Transport & Health
DOI
10.1016/j.jth.2017.11.149
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access