Profiling Commuters’ Travel Behavior in the Pacific States of the Continental U.S.

12 Pages Posted: 13 Mar 2018 Last revised: 6 Apr 2019

See all articles by Tayo Fabusuyi

Tayo Fabusuyi

University of Michigan at Ann Arbor - Transportation Research Institute; Numeritics

Robert Hampshire

University of Michigan at Ann Arbor - Transportation Research Institute

Sean Qian

Carnegie Mellon University

Date Written: March 12, 2018

Abstract

We develop a more nuanced understanding of commuters’ travel mode choices by generating detailed profiles that capture the travel behavior of commuters in the Pacific states of the continental US. These profiles are created by utilizing the US Census Public Use Microdata Sample (PUMS) data. The microdata sample set allows for the estimation of fine-grained models that showcase how individual commuters make travel mode choices. Our results show appreciable locational variation in mode choices and statistically significant differences in commuting profile across and within population segments. A key revealing finding demonstrates that across the three states analyzed, the total number of vehicles driven for any day of the week could be reduced by up to 10 million assuming the commuting patterns observed in San Francisco applies to the rest of the states. Other policy implications are highlighted with regards to the insights provided by the study on making transportation-related infrastructure decisions.

Keywords: Travel Mode, Travel Profile, Public Use Microdata Sample (PUMS)

Suggested Citation

Fabusuyi, Tayo and Hampshire, Robert and Qian, Sean, Profiling Commuters’ Travel Behavior in the Pacific States of the Continental U.S. (March 12, 2018). Available at SSRN: https://ssrn.com/abstract=3139213 or http://dx.doi.org/10.2139/ssrn.3139213

Tayo Fabusuyi (Contact Author)

University of Michigan at Ann Arbor - Transportation Research Institute ( email )

2901 Baxter Road
Ann Arbor, MI 48109
United States

Numeritics ( email )

5907 Penn Avenue
Suite 313
Pittsburgh, PA 15206

Robert Hampshire

University of Michigan at Ann Arbor - Transportation Research Institute ( email )

2901 Baxter Road
Ann Arbor, MI 48109
United States

Sean Qian

Carnegie Mellon University ( email )

Pittsburgh, PA 15213-3890
United States

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