Will millennials save the planet? : generational trends in vehicle ownership & use

Anecdotes that Millennials are fundamentally different from prior generations are prevalent in the American media. One claim often repeated is that Millennials, happy to rely on public transit or ride-hailing, will not purchase personal vehicles. This claim has the potential to both upset the economy and to reduce greenhouse gas emissions (GHGs) from transportation. This work explores Millennials' preferences for personal vehicles from a quantitative approach utilizing data from the US National Household Travel Survey, Census, and American Community Survey to determine whether observed decreases in vehicle ownership and use by Millennials are due to shifts in preferences, or if demographic changes have altered Millennials' consumer behaviors. I employ econometric techniques to explicitly compare Millennials' vehicle ownership and use to prior generations without the confounding effect of demographic variables using linear regressions, Oaxaca decomposition, and nearest neighbor matching estimators. Additionally, the underlying demographic differences between generations are explored with econometric approaches. The findings from these analyses indicate no significant difference in preferences for vehicle ownership between Millennials and prior generations when confounding variables are controlled, and a preference for higher use in terms of vehicle miles traveled (VMT) by Millennials. The difference in observed vehicle ownership and use arises from both age effects and different underlying demographics. Millennials may be saving the planet with their changing demographics, not because they are fundamentally rejecting personal vehicle ownership and use.

Name thesis:degree_name

Master

Department dc:contributor.department

Massachusetts Institute of Technology. Institute for Data, Systems, and Society

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2018

Author dc:creator

• Murphy, Elizabeth Anne,S.M.Massachusetts Institute of Technology.

Advisor dc:contributor.advisor

• Christopher Knittel.

• Institute for Data, Systems, and Society.
• Technology and Policy Program.

Statement dc:rights

• MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/122203

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/122203