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The Rational Locator Reexamined

Author

Listed:
  • Yao Wu
  • David Levinson

    () (Nexus (Networks, Economics, and Urban Systems) Research Group, Department of Civil Engineering, University of Minnesota)

Abstract

The Rational Locator Hypothesis posits that individuals can, if they choose, maintain approximately steady journey-to-work travel times by adjusting their home and workplace. This hypothesis was coupled with the observation of long-term stability in drive alone journey-to-work times in metropolitan Washington (those times were unchanged from 1957 through 1968 to 1988). Despite the increase of average commuting distance and congestion, trip duration remained constant or even declined when controlling for travel purpose and travel mode because of shifting a share of traffic from slow urban routes to faster suburban routes. This observation has significance, as it is important to know for travel demand analysis if there is an underlying budget, or even a regularity, as this helps us determine whether our forecasts are reasonable. To retest the underlying rationale for the hypothesis: that travel times are stable, both intra-metropolitan and inter-metropolitan comparisons of travel times are made. The intra-metropolitan analysis compared Washington DC data from 1968, 1988, and 1994, and Twin Cities data from 1990 and 2000. The results depend upon geography. For the larger Washington DC region, keeping the same geography shows little change in commute times, but using the larger 1994 area suggests an increase in commute times.However, the Twin Cities, starting from a much shorter commute time, shows a marked increase over the decade, using either the smaller or the larger geography. To explain the differences between the two areas, an inter-metropolitan analysis conducts a series of regressions on mean metropolitan travel time for the 65 largest metropolitan areas in theUnited States. The average commute time varies (positively) in these cities as a function of congestion and population density-both significant at the 99 percent confidence interval.Geographical area, population, and income were also significant at the 90 percent confidence interval. Despite the continuing observation of stability in drive alone commuting times in metropolitan Washington, we reject the theory of personal commuting budgets, as we find that not only are commuting times not generally stable over time at the intra-metropolitan area, but that commuting time clearly depends on metropolitan spatial structure.

Suggested Citation

  • Yao Wu & David Levinson, 2005. "The Rational Locator Reexamined," Working Papers 200503, University of Minnesota: Nexus Research Group.
  • Handle: RePEc:nex:wpaper:rationallocatorreexamined
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    File URL: http://hdl.handle.net/11299/179926
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    File URL: http://dx.doi.org/doi:10.1007/s11116-004-5507-4
    File Function: First version, 2007
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    References listed on IDEAS

    as
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    3. David Levinson & Seshasai Kanchi, 2002. "Road Capacity and the Allocation of Time," Working Papers 200203, University of Minnesota: Nexus Research Group.
    4. Jos van Ommeren, 1998. "On-the-Job Search Behavior: The Importance of Commuting Time," Land Economics, University of Wisconsin Press, vol. 74(4), pages 526-540.
    5. Robert Noland & William Cowart, 2000. "Analysis of Metropolitan Highway Capacity and the growth in vehicle miles of travel," Transportation, Springer, vol. 27(4), pages 363-390, December.
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    Citations

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    Cited by:

    1. Martin P. Brosnan & David Levinson, 2014. "Accessibility and the Allocation of Time: Changes in Travel Behavior 1990-2010," Working Papers 000120, University of Minnesota: Nexus Research Group.
    2. Rafael Henrique Moraes Pereira & Tim Schwanen, 2013. "Commute Time in Brazil (1992-2009): Differences Between Metropolitan Areas, by Income Levels and Gender," Discussion Papers 1813a, Instituto de Pesquisa Econômica Aplicada - IPEA.
    3. Joly, I., 2011. "Test of the relation between travel and activities times : different representations of a demand derived from activity participation," Working Papers 201103, Grenoble Applied Economics Laboratory (GAEL).
    4. Amlan Banerjee & Xin Ye & Ram Pendyala, 2007. "Understanding Travel Time Expenditures Around the World: Exploring the Notion of a Travel Time Frontier," Transportation, Springer, vol. 34(1), pages 51-65, January.

    More about this item

    JEL classification:

    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General
    • D10 - Microeconomics - - Household Behavior - - - General
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty

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