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The effect of population density, road network density, and congestion on household gasoline consumption in U.S. urban areas

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  • Su, Qing

Abstract

This paper applies both semiparametric and parametric approaches to explore the effect of population density, freeway road density, and congestion on household gasoline consumption in U.S. urban areas while controlling for household demographic and economic characteristics. Regression results indicate that households living in those urban areas with higher freeway densities, higher levels of congestion, or lower population densities consume more gasoline.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:eneeco:v:33:y:2011:i:3:p:445-452
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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. Tiezzi, Silvia & Verde, Stefano F., 2016. "Differential demand response to gasoline taxes and gasoline prices in the U.S," Resource and Energy Economics, Elsevier, vol. 44(C), pages 71-91.
    3. Akihiro Otsuka & Mika Goto, 2015. "Estimation and determinants of energy efficiency in Japanese regional economies," Regional Science Policy & Practice, Wiley Blackwell, vol. 7(2), pages 89-101, June.
    4. Ahfeldt, Gabriel M. & Pietrostefani, Elisabetta, 2017. "The compact city in empirical research: A quantitative literature review," LSE Research Online Documents on Economics 83638, London School of Economics and Political Science, LSE Library.
    5. 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.
    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. Palm, Matthew & Gregor, Brian & Wang, Haizhong & McMullen, B. Starr, 2014. "The trade-offs between population density and households׳ transportation-housing costs," Transport Policy, Elsevier, vol. 36(C), pages 160-172.
    8. Gabriel Ahlfeldt & Elisabetta Pietrostefani, 2017. "The Economic Effects of Density: A Synthesis," CESifo Working Paper Series 6744, CESifo Group Munich.
    9. Arzaghi, Mohammad & Squalli, Jay, 2015. "How price inelastic is demand for gasoline in fuel-subsidizing economies?," Energy Economics, Elsevier, vol. 50(C), pages 117-124.
    10. Haotian Chen & Xibin Zhang, 2014. "Bayesian Estimation for Partially Linear Models with an Application to Household Gasoline Consumption," Monash Econometrics and Business Statistics Working Papers 28/14, Monash University, Department of Econometrics and Business Statistics.
    11. Gabriel M. Ahfeldt & Elisabetta Pietrostefani, 2017. "The Compact City in Empirical Research: A Quantitative Literature Review," SERC Discussion Papers 0215, Spatial Economics Research Centre, LSE.
    12. Francisco De Lima Cavalcanti & Raul Da Mota Silveira Neto, 2016. "Creative Class, Human Capital And Urban Dynamism: Empirical Evidence For The Brazilian Cities," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 160, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    13. repec:eee:trapol:v:59:y:2017:i:c:p:54-63 is not listed on IDEAS

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