Valuing access to urban greenspace using non-linear distance decay in hedonic property pricing

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Název: Valuing access to urban greenspace using non-linear distance decay in hedonic property pricing
Autoři: Łaszkiewicz, Edyta, Heyman, Axel, 1985, Chen, Xianwen, Cimburova, Zofie, Nowell, Megan, Barton, David N.
Zdroj: Ecosystem Services. 53
Témata: Urban planning, Urban ecosystem accounting, Hedonic pricing method (HPM), Urban ecosystem services valuation, Penalized spline spatial error model (PS-SEM), Environmental justice
Popis: Modelling walking distance enables the observation of non-linearities in hedonic property pricing of accessibility to greenspace. We test a penalized spline spatial error model (PS-SEM), which has two distinctive features. First, the PS-SEM controls for the presence of a spatially autocorrelated error term. Second, the PS-SEM allows for continuous non-linear distance decay of the property price premium as a function of walking distance to greenspaces. As a result, compared with traditional spatial econometric methods, the PS-SEM has the advantage that data determines the functional form of the distance decay of the implicit price for greenspace accessibility. Our PS-SEM results from Oslo, Norway, suggest that the implicit price for greenspace access is highly non-linear in walking distance, with the functional form varying for different types of greenspaces. Our results caution against using simple linear distances and assumptions of log or stepwise buffer-based distance decay in property prices relative to pedestrian network distance to urban amenities. The observed heterogeneity in the implicit property prices for walking distance to greenspace also provides a general caution against using non-spatial hedonic pricing models when aggregating values of greenspace amenities for policy analysis or urban ecosystem accounting purposes.
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Přístupová URL adresa: https://research.chalmers.se/publication/528221
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  Data: Valuing access to urban greenspace using non-linear distance decay in hedonic property pricing
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  Data: <searchLink fieldCode="AR" term="%22Łaszkiewicz%2C+Edyta%22">Łaszkiewicz, Edyta</searchLink><br /><searchLink fieldCode="AR" term="%22Heyman%2C+Axel%22">Heyman, Axel</searchLink>, 1985<br /><searchLink fieldCode="AR" term="%22Chen%2C+Xianwen%22">Chen, Xianwen</searchLink><br /><searchLink fieldCode="AR" term="%22Cimburova%2C+Zofie%22">Cimburova, Zofie</searchLink><br /><searchLink fieldCode="AR" term="%22Nowell%2C+Megan%22">Nowell, Megan</searchLink><br /><searchLink fieldCode="AR" term="%22Barton%2C+David+N%2E%22">Barton, David N.</searchLink>
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  Data: <i>Ecosystem Services</i>. 53
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  Data: <searchLink fieldCode="DE" term="%22Urban+planning%22">Urban planning</searchLink><br /><searchLink fieldCode="DE" term="%22Urban+ecosystem+accounting%22">Urban ecosystem accounting</searchLink><br /><searchLink fieldCode="DE" term="%22Hedonic+pricing+method+%28HPM%29%22">Hedonic pricing method (HPM)</searchLink><br /><searchLink fieldCode="DE" term="%22Urban+ecosystem+services+valuation%22">Urban ecosystem services valuation</searchLink><br /><searchLink fieldCode="DE" term="%22Penalized+spline+spatial+error+model+%28PS-SEM%29%22">Penalized spline spatial error model (PS-SEM)</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+justice%22">Environmental justice</searchLink>
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  Label: Description
  Group: Ab
  Data: Modelling walking distance enables the observation of non-linearities in hedonic property pricing of accessibility to greenspace. We test a penalized spline spatial error model (PS-SEM), which has two distinctive features. First, the PS-SEM controls for the presence of a spatially autocorrelated error term. Second, the PS-SEM allows for continuous non-linear distance decay of the property price premium as a function of walking distance to greenspaces. As a result, compared with traditional spatial econometric methods, the PS-SEM has the advantage that data determines the functional form of the distance decay of the implicit price for greenspace accessibility. Our PS-SEM results from Oslo, Norway, suggest that the implicit price for greenspace access is highly non-linear in walking distance, with the functional form varying for different types of greenspaces. Our results caution against using simple linear distances and assumptions of log or stepwise buffer-based distance decay in property prices relative to pedestrian network distance to urban amenities. The observed heterogeneity in the implicit property prices for walking distance to greenspace also provides a general caution against using non-spatial hedonic pricing models when aggregating values of greenspace amenities for policy analysis or urban ecosystem accounting purposes.
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