2008
DOI: 10.1080/09640560802423509
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Valuing the benefits of the urban forest: a spatial hedonic approach

Abstract: 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 Normalized 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 … Show more

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Cited by 65 publications
(32 citation statements)
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References 36 publications
(25 reference statements)
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“…Therefore, HPM is more suitable for estimating the value inherent in a preference [28,29]. In fact, many studies have used HPM to estimate the value of the ecosystem services, including parks, inherent in housing prices [7,25,26,[32][33][34][35][36] HPM is the study of the relationship between the price of a commodity or house and its characteristics [28,29,37]. For example, people buy real estate, such as an apartment or house, because they expect to gain utility and enjoyment from the house.…”
Section: Hedonic Price Methods (Hpm)mentioning
confidence: 99%
See 1 more Smart Citation
“…Therefore, HPM is more suitable for estimating the value inherent in a preference [28,29]. In fact, many studies have used HPM to estimate the value of the ecosystem services, including parks, inherent in housing prices [7,25,26,[32][33][34][35][36] HPM is the study of the relationship between the price of a commodity or house and its characteristics [28,29,37]. For example, people buy real estate, such as an apartment or house, because they expect to gain utility and enjoyment from the house.…”
Section: Hedonic Price Methods (Hpm)mentioning
confidence: 99%
“…Escobedo et al [33] used two categories of variables, house characteristics and urban forest attributes, to estimate the effect of forest structures on property value. Roebeling et al [7] and Payton et al [34] also used three qualities of urban parks to value the benefits provided by city parks. Ko et al [25] and Kim et al [35] estimated the value of green space with three variable categories, which include attributes such as property area, age, size of apartment complex, school district, and accessibility to public transport and parks.…”
Section: Variablesmentioning
confidence: 99%
“…To capture a measurable variable for such landscape features, remotely sensed land use characteristics data were used. For example, the Normalized Difference Vegetation Index (NDVI 2 ) data was used to differentiate effects of different types of green spaces around homes on their values (Bark et al 2011;Payton et al 2008). Most studies that included miscellaneous landscape patterns surrounding homes used distance to, view of, and percentage visible areas of such landscapes around homes in estimating the amenity effect.…”
Section: View Of Non-discrete Amenitiesmentioning
confidence: 99%
“…Home buyers or renters' willingness to pay for a particular level of environmental quality is revealed when other house, property and neighbourhood features are held constant (Anthon, et al, 2005;Baranzini, 2008;Conway, et al, 2010;Donovan and Butry, 2010;Escobedo, et al, 2015;Garrod and Willis, 1992b;Glaesener and Caruso, 2015;Kong, et al, 2007;Mansfield, et al, 2005;Melichar, et al, 2009;Pandit, et al, 2014;Pandit, et al, 2013;Panduro and Veie, 2013;Payton, et al, 2008;Sander, et al, 2010;Saphores and Li, 2012;Tyrväinen, 1997).…”
Section: Methods Of Valuing Esmentioning
confidence: 99%
“…As described above in section 2.7, the value of trees, growing on and nearby residential properties, revealed in interdisciplinary studies of home-buyers preferences, have varied and effects have been both positive and negative (Anderson and Cordell, 1988b;Anthon, et al, 2005;Conway, et al, 2010;Dombrow, et al, 2000;Donovan and Butry, 2010;DrakeMcLaughlin and Netusil, 2010;Kong, et al, 2007;Luttik, 2000;Melichar and Kaprová, 2013;Melichar, et al, 2009;Morales, 1980;Netusil, et al, 2014;Pandit, et al, 2014;Pandit, et al, 2013;Payton, et al, 2008;Sander, et al, 2010;Saphores and Li, 2012;Tyrväinen, 1997;Tyrvainen and Miettinen, 2000;Wachter and Bucchianeri, 2006;Wolf, 2007). Despite similarities in methods, street tree canopy cover within 20 metres of houses sold in Perth in 2009 added a 1.8 per cent premium to median sale price (Pandit, et al, 2014), yet street tree canopy within a similar proximity (30.5 metres) of houses in Portland, Oregon sold for 3 per cent more in 2006(Donovan and Butry, 2010.…”
Section: Introductionmentioning
confidence: 99%