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Is there more traffic congestion in larger cities? -Scaling analysis of the 101 largest U.S. urban centers-

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  • Chang, Yu Sang
  • Lee, Yong Joo
  • Choi, Sung Sup Brian

Abstract

Over the past three decades, urban congestion has become more costly in terms of time, money, and fuel. For the top 101 largest US urban centers, congestion generated 4.8 billion hours of travel delays in 2011, up from 1.1 billion hours in 1982. Congestion also required 8.419 million cubic meters of excess fuel consumption in 2011, up from 1.73 million cubic meters in 1982. Finally, the excess CO2 emitted from congestion amounted to 19.524 billion kilograms in 2011, up from 3.94 billion kilograms in 1982. We examined the scaling relationships between the population sizes of urban centers and traffic congestion for four subgroups of urban centers with varying population sizes. We found that scaling relationships were superlinear for most subgroups. However, for the subgroup comprising mega cities with populations of over 3 million people, the relationship was linear.

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  • Chang, Yu Sang & Lee, Yong Joo & Choi, Sung Sup Brian, 2017. "Is there more traffic congestion in larger cities? -Scaling analysis of the 101 largest U.S. urban centers-," Transport Policy, Elsevier, vol. 59(C), pages 54-63.
    • Handle: RePEc:eee:trapol:v:59:y:2017:i:c:p:54-63
    DOI: 10.1016/j.tranpol.2017.07.002
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    1. Mindali, Orit & Raveh, Adi & Salomon, Ilan, 2004. "Urban density and energy consumption: a new look at old statistics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(2), pages 143-162, February.
    2. Elizabeth Burton, 2000. "The Compact City: Just or Just Compact? A Preliminary Analysis," Urban Studies, Urban Studies Journal Limited, vol. 37(11), pages 1969-2006, October.
    3. Kenneth A. Small & Kurt Van Dender, 2007. "Fuel Efficiency and Motor Vehicle Travel: The Declining Rebound Effect," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 25-52.
    4. Beck, Nathaniel & Katz, Jonathan N., 1995. "What To Do (and Not to Do) with Time-Series Cross-Section Data," American Political Science Review, Cambridge University Press, vol. 89(3), pages 634-647, September.
    5. Mishalani, Rabi G. & Goel, Prem K. & Landgraf, Andrew J. & Westra, Ashley M. & Zhou, Dunke, 2014. "Passenger travel CO2 emissions in US urbanized areas: Multi-sourced data, impacts of influencing factors, and policy implications," Transport Policy, Elsevier, vol. 36(C), pages 231-241.
    6. Stopher, Peter R., 2004. "Reducing road congestion: a reality check," Transport Policy, Elsevier, vol. 11(2), pages 117-131, April.
    7. Su, Qing, 2011. "The effect of population density, road network density, and congestion on household gasoline consumption in U.S. urban areas," Energy Economics, Elsevier, vol. 33(3), pages 445-452, May.
    8. Karathodorou, Niovi & Graham, Daniel J. & Noland, Robert B., 2010. "Estimating the effect of urban density on fuel demand," Energy Economics, Elsevier, vol. 32(1), pages 86-92, January.
    9. Brownstone, David & Golob, Thomas F., 2009. "The impact of residential density on vehicle usage and energy consumption," Journal of Urban Economics, Elsevier, vol. 65(1), pages 91-98, January.
    10. Kenworthy, Jeffrey R. & Laube, Felix B., 1999. "Patterns of automobile dependence in cities: an international overview of key physical and economic dimensions with some implications for urban policy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(7-8), pages 691-723.
    11. Taylor, Brian D., 2004. "The politics of congestion mitigation," Transport Policy, Elsevier, vol. 11(3), pages 299-302, July.
    12. Panayotis Christidis & Juan Nicolás Ibanez Rivas, 2012. "Measuring road congestion," JRC Research Reports JRC69961, Joint Research Centre.
    13. Antonio M. Bento & Maureen L. Cropper & Ahmed Mushfiq Mobarak & Katja Vinha, 2005. "The Effects of Urban Spatial Structure on Travel Demand in the United States," The Review of Economics and Statistics, MIT Press, vol. 87(3), pages 466-478, August.
    14. Taylor, Brian D., 2002. "Rethinking Traffic Congestion," University of California Transportation Center, Working Papers qt2fb4t8wd, University of California Transportation Center.
    15. Luís M A Bettencourt & José Lobo & Deborah Strumsky & Geoffrey B West, 2010. "Urban Scaling and Its Deviations: Revealing the Structure of Wealth, Innovation and Crime across Cities," PLOS ONE, Public Library of Science, vol. 5(11), pages 1-9, November.
    16. Levine, Jonathan & Garb, Yaakov, 2002. "Congestion pricing's conditional promise: promotion of accessibility or mobility?," Transport Policy, Elsevier, vol. 9(3), pages 179-188, July.
    17. van de Coevering, Paul & Schwanen, Tim, 2006. "Re-evaluating the impact of urban form on travel patternsin Europe and North-America," Transport Policy, Elsevier, vol. 13(3), pages 229-239, May.
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