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How Does Rail Transit Affect the Spatial Differentiation of Urban Residential Prices? A Case Study of Beijing Subway

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  • Dehui Shi

    (School of Land Science and Technology, China University of Geosciences (Beijing), Beijing 100083, China)

  • Meichen Fu

    (School of Land Science and Technology, China University of Geosciences (Beijing), Beijing 100083, China)

Abstract

Rail transit is a significant measure for the comprehensive development of large cities, which influences the land use patterns and the spatial patterns of residential prices around the rail. This study considered Beijing Metro Line 10 and Line 13 as examples, based on a semi-logarithmic hedonic price model, combined with facility point-of-interest (POI) data and residential unit transaction data, to study how rail transit affects the spatial differentiation of urban residential prices. Within the 2 km study area along the line, factors such as community grade (property fee), living environment (park), and living convenience (shopping mall) significantly affected the residential prices. Factors influencing residential prices in different rail locations also differed. The residential prices within the fourth ring (Line 10) were correlated significantly with population density (plot ratio) and station distance, while residential prices outside the fourth ring (Line 13) were correlated with community environment (greening rate), community-built time (age of residence), and public transportation conditions. The conclusions of this study are as follows: (1) Within the urban area of a single central city, the average residential price on the inner side of the rail transit line adjacent to the city center is higher than on the outer side. (2) Neighborhood characteristics significantly affect residential prices along rail transit lines in urban areas, while the architectural and neighborhood characteristics have equally important effects on residential prices along suburban rail transit lines. (3) Urban residential patterns affect residential prices along rail transit lines, with rail transit in urban areas having lesser value-added effect on areas with higher residential prices and suburban rail transit having higher value-added effect on areas with lower residential prices. The innovation of this study is to analyze the spatial differentiation from two location perspectives: the residential price pattern of the city and the city’s own ring division, and to add new location characteristic variables at a unit distance of 200 m. This study confirms that the spatial effect of rail transit on residential prices in different locations of the same city is not the same, and it also provides policy suggestions for strengthening the combination of Transit-Oriented-Development (TOD) model and the layout of residential land.

Suggested Citation

  • Dehui Shi & Meichen Fu, 2022. "How Does Rail Transit Affect the Spatial Differentiation of Urban Residential Prices? A Case Study of Beijing Subway," Land, MDPI, vol. 11(10), pages 1-19, October.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:10:p:1729-:d:934423
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    1. Yang, Jiawen & Su, Pinren & Cao, Jason, 2020. "On the importance of Shenzhen metro transit to land development and threshold effect," Transport Policy, Elsevier, vol. 99(C), pages 1-11.
    2. Filippova, Olga & Sheng, Mingyue, 2020. "Impact of bus rapid transit on residential property prices in Auckland, New Zealand," Journal of Transport Geography, Elsevier, vol. 86(C).
    3. Huang, Yu & Parker, Dawn & Minaker, Leia, 2021. "Identifying latent demand for transit-oriented development neighbourhoods: Evidence from a mid-sized urban area in Canada," Journal of Transport Geography, Elsevier, vol. 90(C).
    4. Yen, Barbara T.H. & Mulley, Corinne & Shearer, Heather & Burke, Matthew, 2018. "Announcement, construction or delivery: When does value uplift occur for residential properties? Evidence from the Gold Coast Light Rail system in Australia," Land Use Policy, Elsevier, vol. 73(C), pages 412-422.
    5. Sharma, Rohit & Newman, Peter, 2018. "Does urban rail increase land value in emerging cities? Value uplift from Bangalore Metro," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 70-86.
    6. Bhattacharjee, Sutapa & Goetz, Andrew R., 2016. "The rail transit system and land use change in the Denver metro region," Journal of Transport Geography, Elsevier, vol. 54(C), pages 440-450.
    7. Dong, Hongwei, 2021. "Evaluating the impacts of transit-oriented developments (TODs) on household transportation expenditures in California," Journal of Transport Geography, Elsevier, vol. 90(C).
    8. Ghebreegziabiher Debrezion & Eric Pels & Piet Rietveld, 2007. "The Impact of Railway Stations on Residential and Commercial Property Value: A Meta-analysis," The Journal of Real Estate Finance and Economics, Springer, vol. 35(2), pages 161-180, August.
    9. Li, Zekun & Han, Zixuan & Xin, Jing & Luo, Xin & Su, Shiliang & Weng, Min, 2019. "Transit oriented development among metro station areas in Shanghai, China: Variations, typology, optimization and implications for land use planning," Land Use Policy, Elsevier, vol. 82(C), pages 269-282.
    10. Mathur, Shishir & Ferrell, Christopher, 2013. "Measuring the impact of sub-urban transit-oriented developments on single-family home values," Transportation Research Part A: Policy and Practice, Elsevier, vol. 47(C), pages 42-55.
    11. Lee, Jae Kwang, 2022. "New rail transit projects and land values: The difference in the impact of rail transit investment on different land types, values and locations," Land Use Policy, Elsevier, vol. 112(C).
    12. Xu, Tao & Zhang, Ming, 2016. "Tailoring empirical research on transit access premiums for planning applications," Transport Policy, Elsevier, vol. 51(C), pages 49-60.
    13. Zhao, Liyuan & Shen, Le, 2019. "The impacts of rail transit on future urban land use development: A case study in Wuhan, China," Transport Policy, Elsevier, vol. 81(C), pages 396-405.
    14. Zhao, Pengjun & Yang, Hanzi & Kong, Lu & Liu, Yunshu & Liu, Di, 2018. "Disintegration of metro and land development in transition China: A dynamic analysis in Beijing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 290-307.
    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. Vale, David S. & Viana, Cláudia M. & Pereira, Mauro, 2018. "The extended node-place model at the local scale: Evaluating the integration of land use and transport for Lisbon's subway network," Journal of Transport Geography, Elsevier, vol. 69(C), pages 282-293.
    17. Mulley, Corinne & Tsai, Chi-Hong (Patrick) & Ma, Liang, 2018. "Does residential property price benefit from light rail in Sydney?," Research in Transportation Economics, Elsevier, vol. 67(C), pages 3-10.
    18. Seo, Kihwan & Golub, Aaron & Kuby, Michael, 2014. "Combined impacts of highways and light rail transit on residential property values: a spatial hedonic price model for Phoenix, Arizona," Journal of Transport Geography, Elsevier, vol. 41(C), pages 53-62.
    19. Sun, Weizeng & Zheng, Siqi & Wang, Rui, 2015. "The capitalization of subway access in home value: A repeat-rentals model with supply constraints in Beijing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 104-115.
    20. Paliska, Dejan & Drobne, Samo, 2020. "Impact of new motorway on housing prices in rural North-East Slovenia," Journal of Transport Geography, Elsevier, vol. 88(C).
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    2. Maciej Kruszyna & Jacek Makuch, 2023. "Mobility Nodes as an Extension of the Idea of Transfer Nodes—Solutions for Smaller Rail Stations with an Example from Poland," Sustainability, MDPI, vol. 15(3), pages 1-15, January.

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