TY - JOUR
T1 - Spatial impacts of multimodal accessibility to green spaces on housing price in Cook County, Illinois
AU - Chen, Si
AU - Zhang, Le
AU - Huang, Yi
AU - Wilson, Beverly K
AU - Mosey, Grant
AU - Deal, Brian
N1 - Publisher Copyright:
© 2021
PY - 2022/1
Y1 - 2022/1
N2 - This study explores the impacts of multimodal accessibility to green space on housing price. Quantifying the benefits of green space accessibility is important for supporting green infrastructure planning and guiding land use development. In this study, we calculate multimodal travel times (walking and driving) from each residential property in Cook County (Chicago metro), Illinois to each articulated (public or significant private) green space. A gravity-model based method is used to compute accessibility (by travel mode), which considers the access to multiple green spaces and weights prioritization. Green spaces are divided into seven categories depending on their type and size to differentiate their potential benefits. Hedonic models using housing structural features, locational attributes, socio-economic factors and green space accessibility as explanatory variables, are used to evaluate housing price (using housing transactions records from 2010 sales in the county). The spatial effects of green space accessibilities on housing prices are explored by an Ordinary Least Squares (OLS) regression, with and without fixed locational effects, and a Geographically Weighted Regression (GWR). Results show walking and driving accessibility to all sizes of recreational, medium conversational and private green spaces present positive impacts on housing price, with some negative impacts to larger (and smaller) conservation areas. The relationship also exhibits different heterogeneous spatial pattern over the study area between walking and driving accessibility to green space, possibly related to economic variation.
AB - This study explores the impacts of multimodal accessibility to green space on housing price. Quantifying the benefits of green space accessibility is important for supporting green infrastructure planning and guiding land use development. In this study, we calculate multimodal travel times (walking and driving) from each residential property in Cook County (Chicago metro), Illinois to each articulated (public or significant private) green space. A gravity-model based method is used to compute accessibility (by travel mode), which considers the access to multiple green spaces and weights prioritization. Green spaces are divided into seven categories depending on their type and size to differentiate their potential benefits. Hedonic models using housing structural features, locational attributes, socio-economic factors and green space accessibility as explanatory variables, are used to evaluate housing price (using housing transactions records from 2010 sales in the county). The spatial effects of green space accessibilities on housing prices are explored by an Ordinary Least Squares (OLS) regression, with and without fixed locational effects, and a Geographically Weighted Regression (GWR). Results show walking and driving accessibility to all sizes of recreational, medium conversational and private green spaces present positive impacts on housing price, with some negative impacts to larger (and smaller) conservation areas. The relationship also exhibits different heterogeneous spatial pattern over the study area between walking and driving accessibility to green space, possibly related to economic variation.
KW - Green space
KW - Hedonic model
KW - Housing price
KW - Multimodal accessibility
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U2 - 10.1016/j.ufug.2021.127370
DO - 10.1016/j.ufug.2021.127370
M3 - Article
AN - SCOPUS:85120347171
SN - 1618-8667
VL - 67
JO - Urban Forestry and Urban Greening
JF - Urban Forestry and Urban Greening
M1 - 127370
ER -