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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

    as
    1. Mayer, Thierry & Trevien, Corentin, 2017. "The impact of urban public transportation evidence from the Paris region," Journal of Urban Economics, Elsevier, vol. 102(C), pages 1-21.
    2. Agarwal, Sumit & Rengarajan, Satyanarain & Sing, Tien Foo & Yang, Yang, 2016. "School allocation rules and housing prices: A quasi-experiment with school relocation events in Singapore," Regional Science and Urban Economics, Elsevier, vol. 58(C), pages 42-56.
    3. repec:hal:spmain:info:hdl:2441/6d427am2i18m5a5elpijpm1e8l is not listed on IDEAS
    4. Jen-Jia Lin & Chi-Hau Hwang, 2004. "Analysis of property prices before and after the opening of the Taipei subway system," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 38(4), pages 687-704, December.
    5. John Matthews & Geoffrey Turnbull, 2007. "Neighborhood Street Layout and Property Value: The Interaction of Accessibility and Land Use Mix," The Journal of Real Estate Finance and Economics, Springer, vol. 35(2), pages 111-141, August.
    6. Robert Armstrong & Daniel Rodríguez, 2006. "An Evaluation of the Accessibility Benefits of Commuter Rail in Eastern Massachusetts using Spatial Hedonic Price Functions," Transportation, Springer, vol. 33(1), pages 21-43, January.
    7. Xinyue Zhang & Yanqing Jiang, 2014. "An Empirical Study of the Impact of Metro Station Proximity on Property Value in The Case of Nanjing, China," Asian Development Policy Review, Asian Economic and Social Society, vol. 2(4), pages 61-71.
    8. Oliver Shyr & David Emanuel Andersson & Jamie Wang & Taiwei Huang & Olivia Liu, 2013. "Where Do Home Buyers Pay Most for Relative Transit Accessibility? Hong Kong, Taipei and Kaohsiung Compared," Urban Studies, Urban Studies Journal Limited, vol. 50(12), pages 2553-2568, September.
    9. Yang, Linchuan & Chau, K.W. & Wang, Xu, 2019. "Are low-end housing purchasers more willing to pay for access to basic public services? Evidence from China," Research in Transportation Economics, Elsevier, vol. 76(C).
    10. Hitaj, Claudia & Lynch, Lori & McConnell, Kenneth E. & Tra, Constant I., 2018. "The Value of Ozone Air Quality Improvements to Renters: Evidence From Apartment Building Transactions in Los Angeles County," Ecological Economics, Elsevier, vol. 146(C), pages 706-721.
    11. Medda, Francesca, 2012. "Land value capture finance for transport accessibility: a review," Journal of Transport Geography, Elsevier, vol. 25(C), pages 154-161.
    12. Can Zou & Jun Tai & Li Chen & Yue Che, 2020. "An Environmental Justice Assessment of the Waste Treatment Facilities in Shanghai: Incorporating Counterfactual Decomposition into the Hedonic Price Model," Sustainability, MDPI, vol. 12(8), pages 1-12, April.
    13. Haizhen Wen & Zaiyuan Gui & Chuanhao Tian & Yue Xiao & Li Fang, 2018. "Subway Opening, Traffic Accessibility, and Housing Prices: A Quantile Hedonic Analysis in Hangzhou, China," Sustainability, MDPI, vol. 10(7), pages 1-23, June.
    14. Nana Cui & Hengyu Gu & Tiyan Shen & Changchun Feng, 2018. "The Impact of Micro-Level Influencing Factors on Home Value: A Housing Price-Rent Comparison," Sustainability, MDPI, vol. 10(12), pages 1-23, November.
    15. Tan, Ronghui & He, Qingsong & Zhou, Kehao & Xie, Peng, 2019. "The effect of new metro stations on local land use and housing prices: The case of Wuhan, China," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    16. Janet Currie & Lucas Davis & Michael Greenstone & Reed Walker, 2015. "Environmental Health Risks and Housing Values: Evidence from 1,600 Toxic Plant Openings and Closings," American Economic Review, American Economic Association, vol. 105(2), pages 678-709, February.
    17. Wang, Jianing & Lee, Chyi Lin, 2022. "The value of air quality in housing markets: A comparative study of housing sale and rental markets in China," Energy Policy, Elsevier, vol. 160(C).
    18. Agarwal, Sumit & Koo, Kang Mo, 2016. "Impact of electronic road pricing (ERP) changes on transport modal choice," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 1-11.
    19. Jian Liang & Kang Mo Koo & Chyi Lin Lee, 2021. "Transportation infrastructure improvement and real estate value: impact of level crossing removal project on housing prices," Transportation, Springer, vol. 48(6), pages 2969-3011, December.
    20. Yang, Linchuan & Chu, Xiaoling & Gou, Zhonghua & Yang, Hongtai & Lu, Yi & Huang, Wencheng, 2020. "Accessibility and proximity effects of bus rapid transit on housing prices: Heterogeneity across price quantiles and space," Journal of Transport Geography, Elsevier, vol. 88(C).
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