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Housing Policy Debate
Article . 2008 . Peer-reviewed
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Comment on Reid Ewing and Fang Rong's “The impact of urban form on U.S. residential energy use”

Authors: John Randolph;

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

Abstract

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 communi...

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
29
Top 10%
Top 10%
Top 10%