A New Estimate of Building Floor Space in North America

被引:22
作者
Arehart, Jay H. [1 ,2 ]
Pomponi, Francesco [1 ]
D'Amico, Bernardino [1 ]
Srubar, Wil V., III [2 ,3 ]
机构
[1] Edinburgh Napier Univ, Resource Efficient Built Environm Lab Rebel, Edinburgh EH11 4BN, Midlothian, Scotland
[2] Univ Colorado, Dept Civil Environm & Architectural Engn, Boulder, CO 80309 USA
[3] Univ Colorado, Mat Sci & Engn Program, Boulder, CO 80309 USA
关键词
floor space; building stock; North America; machine learning; ENERGY USE; URBAN; EMISSIONS; SCENARIO; TRENDS; FLOWS;
D O I
10.1021/acs.est.0c05081
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Floor space is a key variable used to understand the energy and material demands of buildings. Using recent data sets of building footprints, we employ a random forest regression model to estimate the total floor space (conditioned and unconditioned) of the North American building stock. Our estimate for total floor space in 2016 is 88033 (+15907/-21861) million m(2), which is 2.9 times higher than current estimates from national statistics offices. We also show how floor space per capita (m(2) cap(-1)) is not constant across the North American region, highlighting the heterogeneous nature of building stocks. As a critical variable in integrated assessment models to project energy and material demands, this result suggests that there is much more unconditioned floor space than previously realized. Furthermore, when estimating material stocks, flows, and associated embodied carbon emissions, total floor space per-capita estimates, such as those presented in this study, offer a more comprehensive approach in comparison to national statistics that do not capture unconditioned floor space. This result also calls for an investigation as to why there is such a vast difference between estimates of conditioned and total floor space.
引用
收藏
页码:5161 / 5170
页数:10
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