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Valuing the benefits of the urban forest: a spatial hedonic approach
This paper measures the benefits of the urban forest by examining its effect on housing prices. A Geographic Information System is used to develop a measure of the urban forest, the Normalised Difference Vegetation Index, from satellite imagery and to construct other variables from a variety of sour...
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Published in: | Journal of environmental planning and management 2008-11, Vol.51 (6), p.717-736 |
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container_title | Journal of environmental planning and management |
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creator | Payton, Seth Lindsey, Greg Wilson, Jeff Ottensmann, John R. Man, Joyce |
description | This paper measures the benefits of the urban forest by examining its effect on housing prices. A Geographic Information System is used to develop a measure of the urban forest, the Normalised Difference Vegetation Index, from satellite imagery and to construct other variables from a variety of sources. Spatial hedonic housing price models for the Indianapolis/Marion County area are estimated. The models indicate that greener vegetation around a property has a positive, significant effect on housing price, holding everything else constant. This effect is dominated by measures at the neighborhood level. These findings indicate that property owners value the urban forest, at least in part, by the premium they pay to live in neighborhoods with greener, denser vegetation. These findings also indicate that public action to maintain and enhance the urban forest may be warranted. Planners and urban foresters can use these findings to inform public and policy debates over urban forestry programs and proposals. |
doi_str_mv | 10.1080/09640560802423509 |
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A Geographic Information System is used to develop a measure of the urban forest, the Normalised Difference Vegetation Index, from satellite imagery and to construct other variables from a variety of sources. Spatial hedonic housing price models for the Indianapolis/Marion County area are estimated. The models indicate that greener vegetation around a property has a positive, significant effect on housing price, holding everything else constant. This effect is dominated by measures at the neighborhood level. These findings indicate that property owners value the urban forest, at least in part, by the premium they pay to live in neighborhoods with greener, denser vegetation. These findings also indicate that public action to maintain and enhance the urban forest may be warranted. 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A Geographic Information System is used to develop a measure of the urban forest, the Normalised Difference Vegetation Index, from satellite imagery and to construct other variables from a variety of sources. Spatial hedonic housing price models for the Indianapolis/Marion County area are estimated. The models indicate that greener vegetation around a property has a positive, significant effect on housing price, holding everything else constant. This effect is dominated by measures at the neighborhood level. These findings indicate that property owners value the urban forest, at least in part, by the premium they pay to live in neighborhoods with greener, denser vegetation. These findings also indicate that public action to maintain and enhance the urban forest may be warranted. 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Lindsey, Greg ; Wilson, Jeff ; Ottensmann, John R. ; Man, Joyce</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c736t-ffe979ffc4985deb65c2fe94f85d24c2d5654e16dc782bf7db7d9b184d13ac8c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Construction</topic><topic>Copyrights</topic><topic>Documents</topic><topic>Econometrics</topic><topic>Environmental management</topic><topic>Forestry</topic><topic>Forests</topic><topic>Geographic information systems</topic><topic>hedonic model</topic><topic>Housing</topic><topic>Housing market</topic><topic>Housing prices</topic><topic>Impact analysis</topic><topic>Land use</topic><topic>Management</topic><topic>Mathematical models</topic><topic>Neighborhoods</topic><topic>Planners</topic><topic>Policies</topic><topic>Price models</topic><topic>Prices</topic><topic>Property</topic><topic>Proposals</topic><topic>Remote sensing</topic><topic>Satellite imagery</topic><topic>Satellite navigation systems</topic><topic>Spatial analysis</topic><topic>Spatial discrimination</topic><topic>spatial econometrics</topic><topic>Studies</topic><topic>Urban areas</topic><topic>urban forest benefits</topic><topic>urban form</topic><topic>Vegetation</topic><topic>Vegetation index</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Payton, Seth</creatorcontrib><creatorcontrib>Lindsey, Greg</creatorcontrib><creatorcontrib>Wilson, Jeff</creatorcontrib><creatorcontrib>Ottensmann, John R.</creatorcontrib><creatorcontrib>Man, Joyce</creatorcontrib><collection>RePEc IDEAS</collection><collection>RePEc</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Materials Business File</collection><collection>PAIS Index</collection><collection>Toxicology Abstracts</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>International Bibliography of the Social Sciences</collection><collection>Engineering Research Database</collection><collection>International Bibliography of the Social Sciences</collection><collection>Materials Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Environmental Engineering Abstracts</collection><jtitle>Journal of environmental planning and management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Payton, Seth</au><au>Lindsey, Greg</au><au>Wilson, Jeff</au><au>Ottensmann, John R.</au><au>Man, Joyce</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Valuing the benefits of the urban forest: a spatial hedonic approach</atitle><jtitle>Journal of environmental planning and management</jtitle><date>2008-11-01</date><risdate>2008</risdate><volume>51</volume><issue>6</issue><spage>717</spage><epage>736</epage><pages>717-736</pages><issn>0964-0568</issn><eissn>1360-0559</eissn><abstract>This paper measures the benefits of the urban forest by examining its effect on housing prices. A Geographic Information System is used to develop a measure of the urban forest, the Normalised Difference Vegetation Index, from satellite imagery and to construct other variables from a variety of sources. Spatial hedonic housing price models for the Indianapolis/Marion County area are estimated. The models indicate that greener vegetation around a property has a positive, significant effect on housing price, holding everything else constant. This effect is dominated by measures at the neighborhood level. These findings indicate that property owners value the urban forest, at least in part, by the premium they pay to live in neighborhoods with greener, denser vegetation. These findings also indicate that public action to maintain and enhance the urban forest may be warranted. Planners and urban foresters can use these findings to inform public and policy debates over urban forestry programs and proposals.</abstract><cop>Abingdon</cop><pub>Routledge</pub><doi>10.1080/09640560802423509</doi><tpages>20</tpages><oa>free_for_read</oa></addata></record> |
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source | EconLit s plnými texty; International Bibliography of the Social Sciences (IBSS); Taylor & Francis; PAIS Index |
subjects | Construction Copyrights Documents Econometrics Environmental management Forestry Forests Geographic information systems hedonic model Housing Housing market Housing prices Impact analysis Land use Management Mathematical models Neighborhoods Planners Policies Price models Prices Property Proposals Remote sensing Satellite imagery Satellite navigation systems Spatial analysis Spatial discrimination spatial econometrics Studies Urban areas urban forest benefits urban form Vegetation Vegetation index |
title | Valuing the benefits of the urban forest: a spatial hedonic approach |
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