Car-deficit households: determinants and implications for household travel in the U.S.
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In the U.S., households with less than one car per driver (auto-deficit households) are more than twice as common as zero-vehicle households. Yet we know very little about these households and their travel behavior. In this study, therefore, we examine whether car deficits, like carlessness, are largely a result of financial constraint or of other factors such as built environment characteristics, household structure, or household resources. We then analyze the mobility outcomes of car-deficit households compared to the severely restricted mobility of carless households and the largely uninhibited movement of fully-equipped households, households with at least one car per driver. Data from the California Household Travel Survey show that car-deficit households are different than fully-equipped households. They have different household characteristics, travel less, and are more likely to use public transit. While many auto-deficit households have incomes that presumably enable them to successfully manage with fewer cars than adults, low-income auto-deficit households are—by definition—income constrained. Our analysis suggests that low-income car-deficit households manage their travel needs by carefully negotiating the use of household vehicles. In so doing, they travel far more than carless households and use their household vehicles almost as much as low-income households with at least one car per driver. These results suggest that the mobility benefits of having at least one car per driver are more limited than we had anticipated. Results also indicate the importance of transportation and employment programs to ease the potential difficulties associated with sharing cars among household drivers.
KeywordsAutomobile ownership Car-deficit households Travel behavior
Funding was provided by the University of California Center on Economic Competitiveness in Transportation (UCCONNECT).
E. Blumenberg: developed funding proposal including research question and analytical approach, supervised all research, editing. A. Brown: helped guide research, manuscript writing, editing. A. Schouten: data analysis, manuscript writing, editing.
Compliance with ethical standards
Conflict of interest
On behalf of all authors, the corresponding author states that there is no conflict of interest.
- American Automobile Association: Your Driving Costs. How much are you really paying to drive? Heathrow, FL: AAA Association Communication (2017). http://exchange.aaa.com/wp-content/uploads/2017/08/17-0013_Your-Driving-Costs-Brochure-2017-FNL-CX-1.pdf. Accessed 2017
- Anggraini, R., Arentze, T.A., Timmermans, H.J.P.: Car allocation between household heads in car deficient households: a decision model. Eur. J. Transp. Infrastruct. Res. 8(4), 301–319 (2008)Google Scholar
- Blumenberg, E., Brown, A., Ralph, K., Taylor, B.D., Voulgaris, C.T.: Typecasting neighborhoods and travelers: Analyzing the geography of travel behavior among teens and young adults in the U.S. Los Angeles, CA: UCLA Institute of Transportation Studies (2015). https://www.its.ucla.edu/publication/typecasting-neighborhoods-and-travelers-analyzing-the-geography-of-travel-behavior-among-teens-and-young-adults-in-the-u-s/. Accessed 2017
- California Department of Transportation: California Household Travel Survey [dataset]. Author, Sacramento, CA (2012)Google Scholar
- Federal Highway Administration: 2009 National Household Travel Survey (NHTS) [dataset]. U.S. Department of Transportation, Washington, DC (2009)Google Scholar
- Goodman-Bacon, A., McGranahan, L.: How do EITC recipients spend their refunds? Econ. Perspect. 32(2), 17–32 (2008)Google Scholar
- Kneebone, E., Holmes, N.: The growing distance between people and jobs in metropolitan America. Washington, D.C.: Brookings Institution (2015). https://www.brookings.edu/wp-content/uploads/2016/07/Srvy_JobsProximity.pdf. Accessed 2017
- Martin, E., Shaheen, S.: The impact of carsharing on household vehicle ownership. Access Mag. 38, 22–27 (2011)Google Scholar
- McGuckin, N., Zmud, J., Nakamoto, Y.: Trip chaining trends in the U.S.—understanding travel behavior for policy making (Vol. Paper # 05-1716). Presented at the Transportation Research Board, Washington DC (2005)Google Scholar
- Oakil, A.T.M., Manting, D., Nijland, H.: Dynamics in car ownership: the role of entry into parenthood. Eur. J. Transp. Infrastruct. Res. 16(4), 661–673 (2016b)Google Scholar
- Pucher, J., Renne, J.L.: Socioeconomics of urban travel: evidence from the 2001 NHTS. Transp. Q. 57(3), 49–77 (2003)Google Scholar
- Santos, A., McGuckin, N., Nakamoto, Y., Gray, D., Liss, S.: Summary of Travel Trends: 2009 National Household Travel Survey (No. FHWA-PL-ll-022). Federal Transit Administration, Department of Transportation, Washington, DC (2011)Google Scholar
- U.S. Department of Agriculture: Access to Affordable and Nutritious Food: Measuring and Understanding Food Deserts and their Consequences. U.S. Department of Agriculture, Washington, DC (2009)Google Scholar
- U.S. Environmental Protection Agency: Smart Location Database. Author, Washington, DC (2014)Google Scholar