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The Corridor Problem

Author

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  • Richard Arnott

    () (Boston College)

Abstract

Consider a corridor which connects a continuum of residential locations to the CBD (central business district) and which is subject to flow congestion. All (identical) individuals travel along the corridor from home to work in the morning rush hour and have the same work start time. Each individual decides when to depart from home so as to minimize the sum of travel time costs, time early costs, and toll costs (when applicable). This paper investigates the pattern of traffic flow over the morning rush hour and the social optimum, and considers the implications for land use and road cost-benefit analysis.

Suggested Citation

  • Richard Arnott, 2001. "The Corridor Problem," Boston College Working Papers in Economics 443, Boston College Department of Economics.
  • Handle: RePEc:boc:bocoec:443
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    File URL: http://fmwww.bc.edu/EC-P/wp443.pdf
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    References listed on IDEAS

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    1. John Y. Campbell & Pierre Perron, 1991. "Pitfalls and Opportunities: What Macroeconomists Should Know About Unit Roots," NBER Chapters,in: NBER Macroeconomics Annual 1991, Volume 6, pages 141-220 National Bureau of Economic Research, Inc.
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    3. Eugene Canjels & Mark W. Watson, 1997. "Estimating Deterministic Trends In The Presence Of Serially Correlated Errors," The Review of Economics and Statistics, MIT Press, vol. 79(2), pages 184-200, May.
    4. Perron, Pierre & Rodriguez, Gabriel, 2003. "GLS detrending, efficient unit root tests and structural change," Journal of Econometrics, Elsevier, pages 1-27.
    5. Peter C.B. Phillips & Chin Chin Lee, 1996. "Efficiency Gains from Quasi-Differencing Under Nonstationarity," Cowles Foundation Discussion Papers 1134, Cowles Foundation for Research in Economics, Yale University.
    6. Phillips, Peter C. B., 1998. "Impulse response and forecast error variance asymptotics in nonstationary VARs," Journal of Econometrics, Elsevier, pages 21-56.
    7. Diebold, Francis X & Kilian, Lutz, 2000. "Unit-Root Tests Are Useful for Selecting Forecasting Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(3), pages 265-273, July.
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    More about this item

    Keywords

    traffic congestion; land use; monocentric city; shadow rent;

    JEL classification:

    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics

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