The Mode Most Traveled: Transportation Infrastructure Implications and Policy Responses

17 Pages Posted: 30 Sep 2017

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

Date Written: September 28, 2017

Abstract

Using the United States Census Public Use Microdata Sample (PUMS) dataset, we documented the severity of the disparity in commuting pattern across the contiguous U.S. The analysis was complemented by a more granular analysis with the Greater Pittsburgh area as the geographic area of focus. In addition to the locational variation in travel mode obtained using population estimates derived from the PUMS dataset, the dataset was utilized for a discrete choice model that generated detailed commuting profiles for the region’s workforce, showing statistically significant differences not only by socio-economic attributes but more importantly, by commuters’ place of abode. Policy levers that could address travel mode shift are discussed primarily with regards to changing population and its impact on transportation resources and the onset of fully autonomous vehicle in transportation networking companies’ space - a subject of key topical interest given the choice of the city as the test bed for Uber’s driverless ride sourcing services.

Keywords: Commuters, Travel Mode, PUMS Dataset

JEL Classification: R40

Suggested Citation

Fabusuyi, Tayo and Hampshire, Robert, The Mode Most Traveled: Transportation Infrastructure Implications and Policy Responses (September 28, 2017). Available at SSRN: https://ssrn.com/abstract=3044669 or http://dx.doi.org/10.2139/ssrn.3044669

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

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