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Comment on Reid Ewing and Fang Rong's “The impact of urban form on U.S. residential energy use”

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  • John Randolph

Abstract

Using a complicated stepped analysis, Ewing and Rong study the impact of sprawl on household energy use. They argue that dispersed land use brings about larger houses and more detached units, which consume more energy than the smaller houses and attached units typical of more compact communities. This comment suggests that their conclusions are intuitive and obvious, but that their complex methodology linking three unrelated data sets renders their quantitative conclusions suspect. Further, a simple engineering analysis can show more meaningful results, sprawl is more likely to affect energy use through increased vehicle miles traveled than house size or type, and household energy use can be mitigated by increasing the efficiency of the building envelope, heating/cooling system, appliances, and lighting. Still, combining the effects of compact urban development with the effects of energy‐efficient vehicles and housing unit design can be a real winner in our quest for more energy‐efficient communities.

Suggested Citation

  • John Randolph, 2008. "Comment on Reid Ewing and Fang Rong's “The impact of urban form on U.S. residential energy use”," Housing Policy Debate, Taylor & Francis Journals, vol. 19(1), pages 45-52, January.
  • Handle: RePEc:taf:houspd:v:19:y:2008:i:1:p:45-52
    DOI: 10.1080/10511482.2008.9521626
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    Cited by:

    1. Tilov, Ivan & Farsi, Mehdi & Volland, Benjamin, 2019. "Interactions in Swiss households’ energy demand: A holistic approach," Energy Policy, Elsevier, vol. 128(C), pages 136-149.
    2. Liu, Xiaochen & Sweeney, John, 2012. "Modelling the impact of urban form on household energy demand and related CO2 emissions in the Greater Dublin Region," Energy Policy, Elsevier, vol. 46(C), pages 359-369.
    3. Ivan Tilov & Benjamin Volland & Mehdi Farsi, 2017. "Interactions in Swiss Households' Energy Demand: A Holistic Approach," IRENE Working Papers 17-11, IRENE Institute of Economic Research.
    4. Kaza, Nikhil, 2010. "Understanding the spectrum of residential energy consumption: A quantile regression approach," Energy Policy, Elsevier, vol. 38(11), pages 6574-6585, November.
    5. Parshall, Lily & Gurney, Kevin & Hammer, Stephen A. & Mendoza, Daniel & Zhou, Yuyu & Geethakumar, Sarath, 2010. "Modeling energy consumption and CO2 emissions at the urban scale: Methodological challenges and insights from the United States," Energy Policy, Elsevier, vol. 38(9), pages 4765-4782, September.
    6. Huang, Wen-Hsiu, 2015. "The determinants of household electricity consumption in Taiwan: Evidence from quantile regression," Energy, Elsevier, vol. 87(C), pages 120-133.

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