The Impact of Wind Power Projects on Residential Property Values ...

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Appendix E: View Ratings with Photos MINOR VIEW 3 turbines visible from front orientation, nearest 1.4 miles (TXHC) 5 turbines visible from front orientation, nearest 0.9 miles (NYMC) MODERATE VIEW 18 turbines visible from back orientation, nearest 1.6 miles (ILLC) 6 turbines visible from back orientation, nearest 0.8 miles (PASC) SUBSTANTIAL VIEW 90 turbines visible from all orientations, nearest 0.6 miles (IABV) 27 turbines visible from multiple orientations, nearest 0.6 miles (TXHC) 122
EXTREME VIEW 6 turbines visible from multiple orientations, nearest 0.2 miles (WIKCDC) 212 turbines visible from all orientations, nearest 0.4 miles (IABV) 123
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LBNL-2829E ERNEST ORLANDO LAWRENCE
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LBNL-2829E The <st
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Table of Contents
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List of Tables Tab
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Acknowledgements The</stron
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This report builds on the previous
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Table ES-2: Impact
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Figure ES-3: Base Model Results: Sc
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In the Distance Stability Model, fo
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1. Introduction Wind</stron
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model 7 and uses various forms <str
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A particularly useful application <
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Using different statistical methods
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Table 1: Summary of</strong
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By using a variety of</stro
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minimum of 164 fee
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3.2.2. GIS Data GIS data on parcel
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In addition to the qualitative VIEW
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with the rest of t
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Figure 4: Frequency of</str
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4. Base Hedonic Model This section
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impose the least structure on the u
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of the home, home
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etween the reference study area (WA
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Figure 7: Results from the Base Mod
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5. Alternative Hedonic Models <stro
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concentrated inside of</str
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all other components are as defined
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the distance from them might not oc
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explanation is that the additional
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6) More than four years after const
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Table 19: Results from Temporal Asp
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Turning to the coefficient differen
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Table 21: Frequency Crosstab <stron
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5.6.1. Dataset and Model Form Data
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with the scenic vista. In other wor
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6. Repeat Sales Analysis In general
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Table 27: List of
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adjustment, and represent another t
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that are located within one mile <s
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7. Sales Volume Analysis Th
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Figure 11: Sales Volumes by PERIOD
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three years before announcement), a
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8. Wind Pr
Page 89 and 90: Drawing from the previous literatur
Page 91 and 92: Taken together, the results from al
Page 93 and 94: 9. Conclusions Though surveys gener
Page 95 and 96: Davis, L. W. (2008) The</st
Page 97 and 98: LeSage, J. P. (1999) The</s
Page 99 and 100: Watson, M. (2005) Estimation <stron
Page 101 and 102: Figure A - 1: Map of</stron
Page 103 and 104: all very small communities with lit
Page 105 and 106: A.2 TXHC Study Area: Howard County
Page 107 and 108: Census Statistics Name Type 2007 Po
Page 109 and 110: Data Collection and Summary County
Page 111 and 112: A.4 IABV Study Area: Buena Vista Co
Page 113 and 114: Variables of Inter
Page 115 and 116: facilities than the towns o
Page 117 and 118: A.6 WIKCDC Study Area: Kewaunee and
Page 121 and 122: elatively high elevations o
Page 123 and 124: A.8 PAWC Study Area: Wayne County (
Page 125 and 126: Census Statistics Name Type 2007 Po
Page 127 and 128: ural landscapes, with the largest p
Page 129 and 130: A.10 NYMC Study Area: Madison Count
Page 133 and 134: account, combined with the determin
Page 135 and 136: Appendix C: Field Data Collection I
Page 137 and 138: Figure A - 14: Field Data Collectio
Page 139: ABOVE AVERAGE VISTA PREMIUM VISTA 1
Page 143 and 144: 5 is a vector of d
Page 145 and 146: values, that effect seems likely to
Page 147 and 148: unrestricted Home and Site Characte
Page 149 and 150: with coefficients above zero and th
Page 151 and 152: Figure A - 15: Histogram of
Page 153 and 154: The M Distance his
Page 155 and 156: sold within the preceding six month
Page 157 and 158: Appendix H: Alternative Models: Ful
Page 159 and 160: Table A - 8: Full Results for the C
Page 161 and 162: Table A - 10: Full Results for the
Page 163 and 164: Table A - 11: Full Results for the
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