Land use connections to demand management

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Land use connections to demand management Heejun Chang Department of Geography Portland State University April 9, 2019 Urban Water Demand Roundtable, Phoenix

Transcript of Land use connections to demand management

Page 1: Land use connections to demand management

Land use connections to demand management

Heejun ChangDepartment of GeographyPortland State University

April 9, 2019

Urban Water Demand Roundtable, Phoenix

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Objectives

• Identify how land use change is associated with single family residential (SFR) water demand

• Assess landscape and sociodemographic factors affecting SFR water use change at the census block group scale

• Compare aspatial and spatial model performance for explaining the variation in SFR water use

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Population growth in the PDX metro area

Source: New Geography

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Study area: Portland

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Sociodemography

Factors affecting residential water use

Land cover

% vegetation% developed areas

Water use

New areas builtBldg densityProperty value

Building

IncomeEducationEthnic group

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New SFR lots developed, 2005-2011

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New SFR lots developed per CBG

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Change in SFR water use, 2005-2011

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Δ Average bldg. Area % Forest Area

Δ in Hispanic pop Δ in Income

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Comparison of OLS with spatial regression

y = β0 + Xβ + ε ε = λWε + ξ

ε = random error termλ = autoregressive coefficientW = spatial weight matrixξ = white noise

Xi

Xj

Yi

Yj

ei

ej

Explanatory variable OLS Spatial

Δ Total bldg. Area 1.93* -0.01

Δ Average bldg. Area -2.14** -1.80*

% Forest in 2011 -3.30*** -2.16**

% Low density develop 4.38*** 2.99***

Δ Hispanic population 5.81*** 3.57***

Δ Income -2.38** -0.82

R2 0.21 0.53

*Statistically significant at the 10% level

**Statistically significant at the 5% level

***Statistically significant at the 5% level

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Conclusions• Increasing new larger, low density SFR development is

associated with increasing water demand.

• Higher proportion of green space in the neighborhood is negatively related to increasing SFR water demand.

• Change in ethnic group and income further explain the variation of additional SFR water demand.

• Considering spatial dependence improves the power of explaining variations in SFR water demand change.

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Acknowledgements

Hossein Parandvash & Emma Brenneman

Queations??? Contact Heejun Chang [email protected]