TY - JOUR
T1 - Drivers of urban water use
AU - Stoker, Philip
AU - Rothfeder, Robin
N1 - Funding Information:
This research was supported by NSF EPSCoR grant EPS 1208732 awarded to Utah State University, as part of the State of Utah Research Infrastructure Improvement Award. Additional support was provided by a Housing and Urban Development Sustainable Communities Grant at the University of Utah. Any opinions, findings, and conclusions or recommendations expressed are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. We would like to thank the staff, students and faculty in the Department of City and Metropolitan Planning for their contributions to this work, in particular, J.P. Goates, G. Tian, M. Buchert, S. Hinners, M. Miller, S. Hamidi, and K. Dudley. We also thank the iUTAH research team for advice and input throughout the research.
PY - 2014/7
Y1 - 2014/7
N2 - In this paper we develop water demand models for four common urban land use types based on climate, demographics, and built environmental variables. The water demand models estimate annual water use at the parcel level for each land use type: single family residential, semi attached residential, apartments, and commercial. We hypothesize that water use is a function of climate, demographic, and built environmental variables and assessed whether the relative importance of these demographic, built environment, and climate variables on urban water use varies by land use type. We used analysis of variance to determine differences in mean annual use between urban land use types and ordinary least squares regression to measure the effect of independent variables on annual water use. Our paper identifies the driving factors of water use by urban land use type and suggests planning strategies; specifically form-based zoning codes, to promote water conservation in new developments.
AB - In this paper we develop water demand models for four common urban land use types based on climate, demographics, and built environmental variables. The water demand models estimate annual water use at the parcel level for each land use type: single family residential, semi attached residential, apartments, and commercial. We hypothesize that water use is a function of climate, demographic, and built environmental variables and assessed whether the relative importance of these demographic, built environment, and climate variables on urban water use varies by land use type. We used analysis of variance to determine differences in mean annual use between urban land use types and ordinary least squares regression to measure the effect of independent variables on annual water use. Our paper identifies the driving factors of water use by urban land use type and suggests planning strategies; specifically form-based zoning codes, to promote water conservation in new developments.
KW - Urban land use types
KW - Water consumption
KW - Water demand
UR - http://www.scopus.com/inward/record.url?scp=84899456780&partnerID=8YFLogxK
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U2 - 10.1016/j.scs.2014.03.002
DO - 10.1016/j.scs.2014.03.002
M3 - Article
AN - SCOPUS:84899456780
SN - 2210-6707
VL - 12
SP - 1
EP - 8
JO - Sustainable Cities and Society
JF - Sustainable Cities and Society
ER -