2012
DOI: 10.1016/j.jue.2012.05.001
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Energy footprint of the city: Effects of urban land use and transportation policies

William Larson,
Feng Liu,
Anthony Yezer
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Cited by 77 publications
(45 citation statements)
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References 32 publications
(39 reference statements)
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“…Engineering relationships govern the use of gasoline while commuting. Using data gathered by West, McGill, and Sluder () for an average vehicle in the U.S. fleet, G ( V ( k )) in Equation is estimated by Larson, Liu, and Yezer () using a fourth‐degree polynomial. G()V()k=.822+1.833V()k.0486Vk2 +.000651Vk3.00000372Vk4 …”
Section: Model Structurementioning
confidence: 99%
“…Engineering relationships govern the use of gasoline while commuting. Using data gathered by West, McGill, and Sluder () for an average vehicle in the U.S. fleet, G ( V ( k )) in Equation is estimated by Larson, Liu, and Yezer () using a fourth‐degree polynomial. G()V()k=.822+1.833V()k.0486Vk2 +.000651Vk3.00000372Vk4 …”
Section: Model Structurementioning
confidence: 99%
“…Even with similar household characteristics, income positively correlates with energy consumption [4,8,9,20,33,[38][39][40][41][42]. However, prior research provides additional evidence that suggests the effect of income on energy consumption is more complex than a simple correlation, due to its effect on housing characteristics [11,36,43,44].…”
Section: Incomementioning
confidence: 99%
“…In addition to lifecycle factors, social and economic indicators like income, education, and employment influence household energy demand (Kriström, 2006:108). Role of income, for instance, is prominent in determining energy demand, with income being positively correlated with energy demand (Brandon and Lewis, 1999;Brounen et al, 2012;Druckman and Jackson, 2008;Ewing and Rong, 2008;Guerra Santin et al, 2009;Kriström, 2006;Larson et al, 2012;O'Neill and Chen., 2002;Vassileva et al, 2012). However, the effect of income on energy demand is more complex than a simple correlation.…”
Section: Role Of Householdmentioning
confidence: 99%