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Sustainable Water Resources Management

, Volume 5, Issue 3, pp 1303–1313 | Cite as

Neighborhood effects on parcel-level water use

  • Philip StokerEmail author
  • Sarah Hinners
  • Douglas Jackson-Smith
  • Martin Buchert
  • Zacharia Levine
Original Article
  • 24 Downloads

Abstract

Planning for urban water conservation requires an understanding of how and where water is used in cities. There is significant evidence that urban water use is related to the characteristics of the residents, housing types, and landscaping patterns. At the same time, a growing body of research has shown geographic clustering of high or low water use at the neighborhood scale. This paper explores how the characteristics of neighborhoods influence water use at the parcel scale. We hypothesized that neighborhood characteristics influence water use through social dynamics as well as the physical structure of the neighborhood. Using a dataset for almost 75,000 parcels across 248 neighborhoods in Salt Lake City, Utah, we used multilevel modeling to determine how nine characteristics of neighborhoods influenced parcel-level water use. Almost a quarter (24%) of the variation in parcel-scale water use was explained by neighborhood characteristics. Controlling for key parcel-level drivers of water use, we determined that several neighborhood factors were significantly associated with parcel-level water use. For residential properties, parcels in more homogeneous suburban neighborhoods dominated by detached single family-owned homes and family households used more water than comparable parcels in neighborhoods with mixed housing and household types. Neighborhood effects were more pronounced for residential parcels than commercial, and more for outdoor than indoor water use. We suggest that planning and design strategies at the neighborhood level can contribute to urban water conservation.

Keywords

Urban water use Neighborhood effect Water demand Multilevel models 

Notes

Funding

Funding was provided by National Science Foundation (Grant no. 1208732).

References

  1. Abrams B, Kumaradevan S, Sarafidis V, Spaninks F (2012) An econometric assessment of pricing Sydney’s residential water use. Econ Rec 88(280):89–105CrossRefGoogle Scholar
  2. Boxall B (2014) Rancho Santa Fe ranked as state’s largest residential water hog. http://www.latimes.com/local/california/la-me-water-rancho-20141202-story.html. Accessed 2 Jan 2015
  3. Chang H, Parandvash GH, Shandas V (2010) Spatial variations of single-family residential water consumption in Portland, Oregon. Urban Geogr 31(7):953–972CrossRefGoogle Scholar
  4. Corral-Verdugo V, Frias-Armenta M, Pérez-Urias F, Orduña-Cabrera V, Espinoza-Gallego N (2002) Residential water consumption, motivation for conserving water and the continuing tragedy of the commons. Environ Manag 30(4):527–535CrossRefGoogle Scholar
  5. Dawkins CJ, Shen Q, Sanchez TW (2005) Race, space, and unemployment duration. J Urban Econ 58(1):91–113CrossRefGoogle Scholar
  6. Doyle S, Kelly-Schwartz A, Schlossberg M, Stockard J (2006) Active community environments and health: the relationship of walkable and safe communities to individual health. J Am Plan Assoc 72(1):19–31CrossRefGoogle Scholar
  7. Ferrara I (2008) Residential water use: a literature review. In: Household behaviour and environment: reviewing the evidence. Org. for Econ. Coop. and Dev., Paris, pp 153–180Google Scholar
  8. Galster G (2008) Quantifying the effect of neighbourhood on individuals: challenges, alternative approaches, and promising directions. Schmollers Jahrbuch 128(1):7–48CrossRefGoogle Scholar
  9. Gans HJ (1961) Planning and social life: friendship and neighbor relations in suburban communities. J Am Inst Plan 27(2):134–140CrossRefGoogle Scholar
  10. Garner CL, Raudenbush SW (1991) Neighborhood effects on educational attainment: a multilevel analysis. Sociol Educ 64:251–262CrossRefGoogle Scholar
  11. Guhathakurta S, Gober P (2007) the impact of the Phoenix urban heat island on residential water use. J Am Plan Assoc 73(3):317–329CrossRefGoogle Scholar
  12. Harlan SL, Yabiku ST, Larsen L, Brazel AJ (2009) Household water consumption in an arid city: affluence, affordance, and attitudes. Soc Nat Resour 22(8):691–709CrossRefGoogle Scholar
  13. Hester RT (1975) Neighborhood space. Dowden, Hutchinson & Ross, StroudsburgGoogle Scholar
  14. House-Peters LA, Chang H (2011) Urban water demand modeling: review of concepts, methods, and organizing principles. Water Resour Res 47(5):W05401CrossRefGoogle Scholar
  15. House-Peters L, Pratt B, Chang H (2010) Effects of urban spatial structure, sociodemographics, and climate on residential water consumption in Hillsboro, Oregon. J Am Water Resour Assoc 46(3):461–472CrossRefGoogle Scholar
  16. Jackson-Smith DB, Stoker PA, Buchert M, Endter-Wada J, Licon CV, Cannon MS, … Bell L (2016) Differentiating urban forms: a neighborhood typology for understanding urban water systems. Cities Environ (CATE) 9(1):5Google Scholar
  17. Kling JR, Liebman JB, Katz LF (2007) Experimental analysis of neighborhood effects. Econometrica 75(1):83–119CrossRefGoogle Scholar
  18. Larsen L, Harlan SL (2006) Desert dreamscapes: residential landscape preference and behavior. Landsc Urban Plan 78(1):85–100CrossRefGoogle Scholar
  19. Larsen K, Merlo J (2005) Appropriate assessment of neighborhood effects on individual health: integrating random and fixed effects in multilevel logistic regression. Am J Epidemiol 161(1):81–88CrossRefGoogle Scholar
  20. Leventhal T, Brooks-Gunn J (2000) The neighborhoods they live in: the effects of neighborhood residence on child and adolescent outcomes. Psychol Bull 126(2):309CrossRefGoogle Scholar
  21. Leventhal T, Brooks-Gunn J (2003) Moving to opportunity: an experimental study of neighborhood effects on mental health. Am J Public Health 93(9):1576–1582CrossRefGoogle Scholar
  22. Mayer S (1997) What money can’t buy: family income and children’s life chances. Harvard University Press, CambridgeGoogle Scholar
  23. Miller E, Buys L (2008) The impact of social capital on residential water-affecting behaviors in a drought-prone Australian community. Soc Nat Resour 21(3):244–257CrossRefGoogle Scholar
  24. Morales MA, Heaney JP, Friedman KR, Martin JM (2011) Estimating commercial, industrial, and institutional water use on the basis of heated building area. J Am Water Works Assoc 103:84–96CrossRefGoogle Scholar
  25. NOAA (2015) National Weather Service Forecast Office, Salt Lake City, UT. http://www.wrh.noaa.gov/slc/climate/slcclimate/SLC/index.php#. Accessed 17 Feb 2015
  26. Oliver J, Ha SE (2007) Vote choice in suburban elections. Am Polit Sci Rev 101(03):393–408CrossRefGoogle Scholar
  27. Ouyang Y, Wentz E, Ruddell B, Harlan S (2014) A multi-scale analysis of single-family residential water use in the Phoenix Metropolitan Area. J Am Water Resour Assoc 50(4):448–467CrossRefGoogle Scholar
  28. Park RE (1915) The city: suggestions for the investigation of human behavior in the city environment. Am J Soc 20(5):577–612CrossRefGoogle Scholar
  29. Perry CA (1929) City planning for neighborhood life. Soc Forces 8(1):98–100CrossRefGoogle Scholar
  30. Randolph B, Troy P (2008) Attitudes to conservation and water consumption. Environ Sci Policy 11(5):441–455CrossRefGoogle Scholar
  31. Raudenbush SW, Bryk AS, Cheong YF et al (2010) HLM 7: hierarchical linear and nonlinear modeling. Scientific Software International, ChicagoGoogle Scholar
  32. Riitters KH, O’neill RV, Hunsaker CT, Wickham JD, Yankee DH, Timmins SP et al (1995) A factor analysis of landscape pattern and structure metrics. Landsc Ecol 10(1):23–39CrossRefGoogle Scholar
  33. Sampson RJ (2012) Great American city: Chicago and the enduring neighborhood effect. University of Chicago Press, ChicagoCrossRefGoogle Scholar
  34. Sampson RJ, Raudenbush SW, Earls F (1997) Neighborhoods and violent crime: a multilevel study of collective efficacy. Science 277(5328):918–924CrossRefGoogle Scholar
  35. Sampson RJ, Morenoff JD, Gannon-Rowley T (2002) Assessing” neighborhood effects”: social processes and new directions in research. Ann Rev Sociol 28:443–478CrossRefGoogle Scholar
  36. Shandas V, Hossein Parandvash G (2010) Integrating urban form and demographics in water-demand management: an empirical case study of Portland, Oregon. Environ Plan B Plan Design 37(1):112CrossRefGoogle Scholar
  37. Shemesh J, Zapatero F (2011) Thou shalt not covet thy (suburban) neighbor’s car. Available at SSRN 1805206Google Scholar
  38. Sonderling, J., Grover, J. (2014). Which Neighborhoods are the biggest water guzzlers?. http://www.nbclosangeles.com/investigations/Water-Waste-Southern-California-Neighborhoods-278279151.html. Accessed 2 Jan 2015
  39. Stoker P, Rothfeder R (2014) Drivers of urban water use. Sustain Cities Soc 12:1–8CrossRefGoogle Scholar
  40. Stoker P, Rothfeder R, Dudley K, Dennison P, Buchert M (2017) Comparing the utility of LiDAR data vs. multi-spectral imagery for parcel scale water demand modeling. Urban Water J 14(3):331–335CrossRefGoogle Scholar
  41. Tian G, Ewing R, Greene W (2014) Desire for smart growth: a survey of residential preferences in the Salt Lake Region of Utah. Hous Policy Debate 25:1–17 (ahead-of-print) Google Scholar
  42. U.S. Census Bureau (2013) American Fact FinderGoogle Scholar
  43. Utah Division of Water Resources (UDWR) (2010) Residential water use: survey results and analysis of residential water use for seventeen communities in Utah. http://www.water.utah.gov/Reports/RWU_Study.pdf. Retrieved 2012 Oct
  44. Wentz EA, Gober P (2007) Determinants of small-area water consumption for the city of Phoenix, Arizona. Water Resour Manag 21(11):1849–1863CrossRefGoogle Scholar
  45. Woodbury K, Dollery B (2004) Efficiency measurement in Australian local government: the case of New South Wales municipal water services. Rev Policy Res 21(5):615–636CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.College of Architecture, Planning, and Landscape ArchitectureUniversity of ArizonaTucsonUSA
  2. 2.Department of City and Metropolitan PlanningUniversity of UtahSalt Lake CityUSA
  3. 3.School of Environment and Natural ResourcesThe Ohio State UniversityColumbusUSA

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