Factors Influencing Water Consumption in Multifamily Housing in Tempe, ArizonaFootnote

^*This material is based on work supported by the National Science Foundation underGrant No. SES-0345945, Decision Center for a Desert City. Any opinions, findings, and conclusions or recommendation expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.We also acknowledge the City of Tempe for providing us with the water consumption data and to Barbara Trapido-Lurie for creating the graphics.

Literature Cited

• Agthe, D., and B. Billings. 2002. Water price influence on apartment complex water use. Journal of Water Resources Planning and Management 128 (5): 366–69.
   Web of Science ®Google Scholar
• Anderson, J., J. Hardy, T. Roach, and R.E. Witmer. 1976. A land use and land cover classification system for use with remote sensor data. USGS Professional Paper 964, U.S. Geological Survey, Sioux Falls, SD.
   Google Scholar
• Arbués, F., M.A. García-Valiñas, and R. Martínez-Espiñeira. 2003. Estimation of residential water demand: A state-of-the-art review. Journal of Socio-Economics 32:81–102.
   Google Scholar
• Chu, J.Y., C. Wang, J.N. Chen, and H. Wang. 2009. Agent-based residential water use behavior simulation and policy implications: A case-study in Beijing City. Water Resources Management 23:3267–95.
   Web of Science ®Google Scholar
• City of Phoenix. 2012. Taking the splash out of pools and spas. . http://phoenix.gov/waterservices/wrc/home/outdoor/pool.html (last accessed 6 January 2013).
   Google Scholar
• Congalton, R.G. 1991. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment 37:35–46.
   Web of Science ®Google Scholar
• Domene, E., and D. Sauri. 2006. Urbanisation and water consumption: Influencing factors in the metropolitan region of Barcelona. Urban Studies 43 (9): 1605–23.
   Web of Science ®Google Scholar
• Fullerton, T.M. , Jr., and A.C. Nava. 2003. Short-term water dynamics in Chihuahua City, Mexico. Water Resources Research 39 (9): 1258. doi:10.1029/2003WR002056.
   Web of Science ®Google Scholar
• Galán, J.M., A. López-Paredes, and R. del Olmo. 2009. An agent-based model for domestic water management in Valladolid metropolitan area. Water Resources Research 45 (5): . W05401. >doi:10.1029/2007WR006536.
   Web of Science ®Google Scholar
• Gómez-Ibáñez, J. A., and N. Humphrey. 2010. Driving and the built environment: The effects of compact development on motorized travel, energy use, and CO2 emissions. . Transportation Research Board Special Report 298. TR News (May–June). http://onlinepubs.trb.org/onlinepubs/trnews/trnews268SR298.pdf (last accessed 5 June 2013).
   Google Scholar
• Hall, J.M., J.F. Handley, and R.A. Ennos. 2012. The potential of tree planting to climate-proof high density residential areas in Manchester, UK. Landscape and Urban Planning 104 (3–4): 410–17.
   Web of Science ®Google Scholar
• Halper, E.B., C. Scott, and S.R. Yool. 2012. Correlating vegetation, water use, and surface temperature in a semiarid city: A multiscale analysis of the impacts of irrigation by single-family residences Geographical Analysis 44 (3): 235–57.
   Web of Science ®Google Scholar
• Herold, M., J. Scepan, and K.C. Clarke. 2002. The use of remote sensing and landscape metrics to describe structures and changes in urban land uses. Environment and Planning A 34 (8): 1443–58.
   Web of Science ®Google Scholar
• House-Peters, L., B. Pratt, and H. Chang. 2010. Effects of urban spatial structure, sociodemographics, and climate on residential water consumption in Hillsboro, Oregon. Journal of the American Water Resources Association 46 (3): 461–72.
   Web of Science ®Google Scholar
• Lin, J.J., and C.C. Gau. 2006. A TOD planning model to review the regulation of allowable development densities around subway stations. Land Use Policy 23 (3): 353–60.
   Web of Science ®Google Scholar
• Lund, H. 2006. Reasons for living in a transit-oriented development, and associated transit use. Journal of the American Planning Association 72 (3): 357–66.
   Web of Science ®Google Scholar
• Malla, P.B., and C. Gopalakrishnan. 1997. Residential water demand in a fast-growing metropolis: The case of Honolulu, Hawaii. Water Resources Development 13 (1): 35–51.
   Google Scholar
• Mayer, P.W., D. Bennett, W.B. DeOreo, and E. Towler. 2006. Third-party billing of multifamily customers presents new challenges to water providers. Journal of the American Water Works Association 98 (8): 74–82.
   Web of Science ®Google Scholar
• Mayer, P.W., and W.B. DeOreo. 1999. Residential end uses of water. Denver, CO: American Water Works Association Research Foundation.
   Google Scholar
• Praskievicz, S., and H. Chang. 2009. Identifying the relationships between urban water consumption and weather variables in Seoul, Korea. Physical Geography324–37.
   Web of Science ®Google Scholar
• Randolph, B., and P. Troy. 2008. Attitudes to conservation and water consumption. Environmental Science and Policy 11: 441–55.
   Web of Science ®Google Scholar
• Real Data. 2010. Company information. . http://www.apartmentinsights.com/companyinfo.html (last accessed 10 May 2010.
   Google Scholar
• Townshend, J.R. G. 1981. Terrain analysis and remote sensing. London: George Allen and Unwin.
   Google Scholar
• Wentz, E.A., and P. Gober. 2007. Determinants of small-area water consumption for the city of Phoenix, Arizona. Water Resources Management 21:1849–63.
   Web of Science ®Google Scholar
• Zhang, H.H., and D.F. Brown. 2005. Understanding urban residential water use in Beijing and Tianjin, China. Habitat International 29:469–91.
   Web of Science ®Google Scholar