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    Comparing High and Low Residential Density: Life-Cycle Analysis of Energy Use and Greenhouse Gas Emissions

    Source: Journal of Urban Planning and Development:;2006:;Volume ( 132 ):;issue: 001
    Author:
    Jonathan Norman
    ,
    Heather L. MacLean
    ,
    Christopher A. Kennedy
    DOI: 10.1061/(ASCE)0733-9488(2006)132:1(10)
    Publisher: American Society of Civil Engineers
    Abstract: This study provides an empirical assessment of energy use and greenhouse gas (GHG) emissions associated with high and low residential development. Three major elements of urban development are considered: construction materials for infrastructure (including residential dwellings, utilities, and roads), building operations, and transportation (private automobiles and public transit). Two case studies from the City of Toronto are analyzed. An economic input–output life-cycle assessment (EIO-LCA) model is applied to estimate the energy use and GHG emissions associated with the manufacture of construction materials for infrastructure. Operational requirements for dwellings and transportation are estimated using nationally and/or regionally averaged data. The results indicate that the most targeted measures to reduce GHG emissions in an urban development context should be aimed at transportation emissions, while the most targeted measures to reduce energy usage should focus on building operations. The results also show that low-density suburban development is more energy and GHG intensive (by a factor of 2.0–2.5) than high-density urban core development on a per capita basis. When the functional unit is changed to a per unit of living space basis the factor decreases to 1.0–1.5, illustrating that the choice of functional unit is highly relevant to a full understanding of urban density effects.
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      Comparing High and Low Residential Density: Life-Cycle Analysis of Energy Use and Greenhouse Gas Emissions

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    contributor authorJonathan Norman
    contributor authorHeather L. MacLean
    contributor authorChristopher A. Kennedy
    date accessioned2017-05-08T21:05:48Z
    date available2017-05-08T21:05:48Z
    date copyrightMarch 2006
    date issued2006
    identifier other%28asce%290733-9488%282006%29132%3A1%2810%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/38493
    description abstractThis study provides an empirical assessment of energy use and greenhouse gas (GHG) emissions associated with high and low residential development. Three major elements of urban development are considered: construction materials for infrastructure (including residential dwellings, utilities, and roads), building operations, and transportation (private automobiles and public transit). Two case studies from the City of Toronto are analyzed. An economic input–output life-cycle assessment (EIO-LCA) model is applied to estimate the energy use and GHG emissions associated with the manufacture of construction materials for infrastructure. Operational requirements for dwellings and transportation are estimated using nationally and/or regionally averaged data. The results indicate that the most targeted measures to reduce GHG emissions in an urban development context should be aimed at transportation emissions, while the most targeted measures to reduce energy usage should focus on building operations. The results also show that low-density suburban development is more energy and GHG intensive (by a factor of 2.0–2.5) than high-density urban core development on a per capita basis. When the functional unit is changed to a per unit of living space basis the factor decreases to 1.0–1.5, illustrating that the choice of functional unit is highly relevant to a full understanding of urban density effects.
    publisherAmerican Society of Civil Engineers
    titleComparing High and Low Residential Density: Life-Cycle Analysis of Energy Use and Greenhouse Gas Emissions
    typeJournal Paper
    journal volume132
    journal issue1
    journal titleJournal of Urban Planning and Development
    identifier doi10.1061/(ASCE)0733-9488(2006)132:1(10)
    treeJournal of Urban Planning and Development:;2006:;Volume ( 132 ):;issue: 001
    contenttypeFulltext
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