A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Valuing access to urban greenspace using non-linear distance decay in hedonic property pricing
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. Penalized spline spatial error model (PS-SEM) Hedonic pricing method (HPM) Urban ecosystem services valuation Urban ecosystem accounting Urban planning Environmental justice ; publishedVersion
Valuing access to urban greenspace using non-linear distance decay in hedonic property pricing
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. Penalized spline spatial error model (PS-SEM) Hedonic pricing method (HPM) Urban ecosystem services valuation Urban ecosystem accounting Urban planning Environmental justice ; publishedVersion
Valuing access to urban greenspace using non-linear distance decay in hedonic property pricing
Łaszkiewicz, Edyta (author) / Heyman, Axel (author) / Chen, Xianwen (author) / Cimburova, Zofie (author) / Nowell, Megan Sara (author) / Barton, David Nicholas (author)
2021-01-01
cristin:1974027
53 ; Ecosystem Services ; 101394
Article (Journal)
Electronic Resource
English
DDC:
710
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