IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v59y2017icp54-63.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X17304626
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tranpol.2017.07.002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. Taylor, Brian D., 2004. "The politics of congestion mitigation," Transport Policy, Elsevier, vol. 11(3), pages 299-302, July.
    5. 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.
    6. Panayotis Christidis & Juan Nicolás Ibanez Rivas, 2012. "Measuring road congestion," JRC Research Reports JRC69961, Joint Research Centre.
    7. 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.
    8. Taylor, Brian D., 2002. "Rethinking Traffic Congestion," University of California Transportation Center, Working Papers qt2fb4t8wd, University of California Transportation Center.
    9. 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.
    10. 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.
    11. 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.
    12. Stopher, Peter R., 2004. "Reducing road congestion: a reality check," Transport Policy, Elsevier, vol. 11(2), pages 117-131, April.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhikang Bao & Yifu Ou & Shuangzhou Chen & Ting Wang, 2022. "Land Use Impacts on Traffic Congestion Patterns: A Tale of a Northwestern Chinese City," Land, MDPI, vol. 11(12), pages 1-17, December.
    2. Dadashova, Bahar & Li, Xiao & Turner, Shawn & Koeneman, Pete, 2021. "Multivariate time series analysis of traffic congestion measures in urban areas as they relate to socioeconomic indicators," Socio-Economic Planning Sciences, Elsevier, vol. 75(C).
    3. Lunyu Xie & Tianhua Zou & Joshua Linn & Haosheng Yan, 2024. "Can Building Subway Systems Improve Air Quality? New Evidence from Multiple Cities and Machine Learning," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(4), pages 1009-1044, April.
    4. Jin, Peizhen & Mangla, Sachin Kumar & Song, Malin, 2021. "Moving towards a sustainable and innovative city: Internal urban traffic accessibility and high-level innovation based on platform monitoring data," International Journal of Production Economics, Elsevier, vol. 235(C).
    5. Chengzhen Song & Qingfang Liu & Jinping Song & Ding Yang & Zhengyun Jiang & Wei Ma & Fuchang Niu & Jinmeng Song, 2023. "The Interactive Relationship between Street Centrality and Land Use Intensity—A Case Study of Jinan, China," IJERPH, MDPI, vol. 20(6), pages 1-20, March.
    6. Min Zhang & Yufu Liu & Yixiong Xiao & Wenqi Sun & Chen Zhang & Yong Wang & Yuqi Bai, 2021. "Vulnerability and Resilience of Urban Traffic to Precipitation in China," IJERPH, MDPI, vol. 18(23), pages 1-13, November.
    7. Min Zhang & Yufu Liu & Wenqi Sun & Yixiong Xiao & Chang Jiang & Yong Wang & Yuqi Bai, 2021. "Impact of Rainfall on Traffic Speed in Major Cities of China," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
    8. Fulvio Silvestri & Seyed Hesam Babaei & Pierluigi Coppola, 2024. "Improving Urban Cyclability and Perceived Bikeability: A Decision Support System for the City of Milan, Italy," Sustainability, MDPI, vol. 16(18), pages 1-16, September.
    9. Ying Wang & Jing Tao & Rong Wang & Chuanmin Mi, 2020. "Can the New Subway Line Openings Mitigate PM10 Concentration? Evidence from Chinese Cities Based on the PSM-DID Method," IJERPH, MDPI, vol. 17(13), pages 1-19, June.
    10. Yu Sang Chang & Sung Jun Jo & Yoo-Taek Lee & Yoonji Lee, 2021. "Population Density or Populations Size. Which Factor Determines Urban Traffic Congestion?," Sustainability, MDPI, vol. 13(8), pages 1-21, April.
    11. Shi, Kunbo & De Vos, Jonas & Yang, Yongchun & Witlox, Frank, 2019. "Does e-shopping replace shopping trips? Empirical evidence from Chengdu, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 21-33.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yu Sang Chang & Sung Jun Jo & Yoo-Taek Lee & Yoonji Lee, 2021. "Population Density or Populations Size. Which Factor Determines Urban Traffic Congestion?," Sustainability, MDPI, vol. 13(8), pages 1-21, April.
    2. Qing Su, 2017. "Travel Demand Management Policy Instruments, Urban Spatial Characteristics, and Household Greenhouse Gas Emissions from Travel in the US Urban Areas," International Journal of Energy Economics and Policy, Econjournals, vol. 7(3), pages 157-166.
    3. Elhorst, J. Paul & Madre, Jean-Loup & Pirotte, Alain, 2020. "Car traffic, habit persistence, cross-sectional dependence, and spatial heterogeneity: New insights using French departmental data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 614-632.
    4. Akihiro Otsuka & Mika Goto, 2018. "Regional determinants of energy intensity in Japan: the impact of population density," Asia-Pacific Journal of Regional Science, Springer, vol. 2(2), pages 257-278, August.
    5. 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.
    6. Morikawa, Masayuki, 2012. "Population density and efficiency in energy consumption: An empirical analysis of service establishments," Energy Economics, Elsevier, vol. 34(5), pages 1617-1622.
    7. Akihiro Otsuka, 2020. "How do population agglomeration and interregional networks improve energy efficiency?," Asia-Pacific Journal of Regional Science, Springer, vol. 4(1), pages 1-25, February.
    8. Ahmad, Sohail & Puppim de Oliveira, Jose A., 2016. "Determinants of urban mobility in India: Lessons for promoting sustainable and inclusive urban transportation in developing countries," Transport Policy, Elsevier, vol. 50(C), pages 106-114.
    9. Choi, Kwangyul & Zhang, Ming, 2017. "The impact of metropolitan, county, and local land use on driving emissions in US metropolitan areas: Mediator effects of vehicle travel characteristics," Journal of Transport Geography, Elsevier, vol. 64(C), pages 195-202.
    10. Proost, Stef & Van Dender, Kurt, 2012. "Energy and environment challenges in the transport sector," Economics of Transportation, Elsevier, vol. 1(1), pages 77-87.
    11. Modarres, Ali, 2013. "Commuting and energy consumption: toward an equitable transportation policy," Journal of Transport Geography, Elsevier, vol. 33(C), pages 240-249.
    12. Akihiro Otsuka, 2018. "Regional Determinants of Energy Efficiency: Residential Energy Demand in Japan," Energies, MDPI, vol. 11(6), pages 1-14, June.
    13. Akihiro Otsuka & Mika Goto & Toshiyuki Sueyoshi, 2014. "Energy efficiency and agglomeration economies: the case of Japanese manufacturing industries," Regional Science Policy & Practice, Wiley Blackwell, vol. 6(2), pages 195-212, June.
    14. Heres-Del-Valle, David & Niemeier, Deb, 2011. "CO2 emissions: Are land-use changes enough for California to reduce VMT? Specification of a two-part model with instrumental variables," Transportation Research Part B: Methodological, Elsevier, vol. 45(1), pages 150-161, January.
    15. Teoh, Roger & Anciaes, Paulo & Jones, Peter, 2020. "Urban mobility transitions through GDP growth: Policy choices facing cities in developing countries," Journal of Transport Geography, Elsevier, vol. 88(C).
    16. Shoki Kosai & Muku Yuasa & Eiji Yamasue, 2020. "Chronological Transition of Relationship between Intracity Lifecycle Transport Energy Efficiency and Population Density," Energies, MDPI, vol. 13(8), pages 1-15, April.
    17. Kim, Jinwon, 2016. "Vehicle fuel-efficiency choices, emission externalities, and urban sprawl," Economics of Transportation, Elsevier, vol. 5(C), pages 24-36.
    18. Tae-Hyoung Gim, 2012. "A meta-analysis of the relationship between density and travel behavior," Transportation, Springer, vol. 39(3), pages 491-519, May.
    19. Rui Wang & Quan Yuan, 2017. "Are denser cities greener? Evidence from China, 2000–2010," Natural Resources Forum, Blackwell Publishing, vol. 41(3), pages 179-189, August.
    20. Su, Qing, 2010. "Travel demand in the US urban areas: A system dynamic panel data approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(2), pages 110-117, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:trapol:v:59:y:2017:i:c:p:54-63. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/30473/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.