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How Local Is Travel?

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Abstract

This paper analyzes the distribution of travel time across different classes of roads for 47 subjects in the Minneapolis-St. Paul metropolitan area. We use global positioning system (GPS) and geographic information system (GIS) data to analyze subject road use, with the objective of getting a sense for how much time individuals spend on different types of roads during their commute trip (in a sense, how ÒlocalizedÓ their travel is). The results reveal an association between the amounts of time spent on various functional classes of roads and home and work locations. Subjects that live and work in the city of Minneapolis are found to spend a higher percentage of their travel time on lower-level (city and county) roads. The results may be used to further inform local road finance decisions in light of the free-rider problem and other problems associated with current financing mechanisms.

Suggested Citation

  • Michael Scharenbroich & Michael Iacono & David Levinson, 2009. "How Local Is Travel?," Working Papers 000058, University of Minnesota: Nexus Research Group.
    • Handle: RePEc:nex:wpaper:howlocalistravel
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    File URL: http://nexus.umn.edu/Papers/HowLocalIsTravel.pdf
    File Function: First version, 2009
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    More about this item

    Keywords

    Travel Behavior; Transportation Ð Finance; Global Positioning Systems (GPS);
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy
    • R53 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Public Facility Location Analysis; Public Investment and Capital Stock

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