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Nonlinear Rail Accessibility and Road Spatial Pattern Effects on House Prices

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  • Kaida Chen

    (Department of Urban Planning, National Cheng Kung University, Tainan 70101, Taiwan
    College of Arts &College of Landscape Architecture, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

  • Hanliang Lin

    (Department of Urban Planning, National Cheng Kung University, Tainan 70101, Taiwan)

  • Lingyun Liao

    (College of Arts &College of Landscape Architecture, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

  • Yichen Lu

    (College of Arts &College of Landscape Architecture, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

  • Yen-Jong Chen

    (Department of Urban Planning, National Cheng Kung University, Tainan 70101, Taiwan)

  • Zehua Lin

    (College of Arts &College of Landscape Architecture, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

  • Linxi Teng

    (College of Arts &College of Landscape Architecture, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

  • Aifang Weng

    (College of Arts &College of Landscape Architecture, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

  • Tianqi Fu

    (College of Arts &College of Landscape Architecture, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

Abstract

The continuous change process in the impact of differences in public transport accessibility has not been explained specifically in previous studies. This study reveals that the interaction between two continuous explanatory variables has a significant impact on the explained variable in the hedonic model. The study takes the accessibility variable in the house price model as an instance, dividing the accessibility variable of the residential community into two parts. The first part is the rail accessibility defined by the Euclidean distance from the residential community to the nearest rail transportation station. The second part is the road accessibility defined by two Space Syntax indicators, connectivity and carrying capacity, according to the spatial pattern of the road network. As demonstrated by the spatial interactive regression model, this research finds that road connectivity has a significant regulating effect on the impact of the distance to the closest rail station on house prices based on the empirical evidence from Fuzhou, China.

Suggested Citation

  • Kaida Chen & Hanliang Lin & Lingyun Liao & Yichen Lu & Yen-Jong Chen & Zehua Lin & Linxi Teng & Aifang Weng & Tianqi Fu, 2022. "Nonlinear Rail Accessibility and Road Spatial Pattern Effects on House Prices," Sustainability, MDPI, vol. 14(8), pages 1-24, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:8:p:4700-:d:793821
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    References listed on IDEAS

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    Cited by:

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