1982
DOI: 10.1016/0304-4009(82)90002-x
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Energy efficiency and equity of various urban land use patterns

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Cited by 20 publications
(12 citation statements)
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“…Built environment patterns sometimes force low-income households to choose locations and structures where they spend a higher share of their incomes on energy which increases their vulnerability to fluctuations in the price of energy [26,43]. A study by Sharpe [44] found that decentralized patterns of development have left the residents of auto-centric suburbs especially vulnerable to increases in the cost of fuel. These fluctuations are particularly troublesome for low-income households who lack the flexibility to absorb an increase in transportation costs without limiting their mobility.…”
Section: The Energy Use and Urban Form Connectionsmentioning
confidence: 99%
“…Built environment patterns sometimes force low-income households to choose locations and structures where they spend a higher share of their incomes on energy which increases their vulnerability to fluctuations in the price of energy [26,43]. A study by Sharpe [44] found that decentralized patterns of development have left the residents of auto-centric suburbs especially vulnerable to increases in the cost of fuel. These fluctuations are particularly troublesome for low-income households who lack the flexibility to absorb an increase in transportation costs without limiting their mobility.…”
Section: The Energy Use and Urban Form Connectionsmentioning
confidence: 99%
“…Moreover some studies show that land-use planning aimed at increasing residential density has very limited effects in reducing transport externalities. Sharpe (1982) shows that a tripling of the density of Melbourne would yield only an 11 percent transport energy saving. Schimek (1996) finds that a 10 percent increase in residential density leads to a meager reduction of 0.7 percent in household automobile travel in the United States.…”
Section: Balancing the Criteria In Choosing Instrumentsmentioning
confidence: 99%
“…Pioneering work in the field has also resulted from a long-term involvement in the area by the Commonwealth Scientific and Industrial Research Organization (CSIRO) in Australia, based largely on use of the TOPAZ modeling system (Brotchie, 1969;Brotchie, Dickey, and Sharpe, 1980;Sharpe, 1978Sharpe, ,1980Sharpe, , 1982 and other references therein). As its name implies (Technique for Op'timal Placement of Activities in Zones), the approach taken in the TOPAZ model is a normative one, using a very general location-allocation modeling system adaptable to a number of different scales of spatial analysis.…”
Section: Survey Of the Literaturementioning
confidence: 99%
“…In a research context a handful of past studies have also used such models to look specifically at alternative, if rather abstract, energy-efficient urban futures (see Sharpe, 1978Sharpe, ,1980Sharpe, ,1982de la Barra and Rickaby, 1982;Rickaby, 1991;Roy and Marquez, 1993). In the United States the 1990 Clean Air Act Amendments and supporting legislation within the 1991 Internodal Surface Transportation Efficiency Act have caused recent practice to focus on using such models to forecast future levels of urban air quality (see Putman, 1994, using the DRAM/ITLUP modeling approach; and Watterson, 1993, using modified versions of the DRAM and EMPAL models within the Puget Sound Council of Governments model)?…”
Section: Nature Of Model Applicationsmentioning
confidence: 99%
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