IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v10y2021i12p1330-d694418.html
   My bibliography  Save this article

Heterogeneity Analysis of Urban Rail Transit on Housing with Different Price Levels: A Case Study of Chengdu, China

Author

Listed:
  • Pengyu Ren

    (College of Architecture and Urban Planning, Chongqing Jiaotong University, Chongqing 400074, China
    School of Management Science and Real Estate, Chongqing University, Chongqing 400044, China)

  • Zhaoji Li

    (School of Management Science and Real Estate, Chongqing University, Chongqing 400044, China)

  • Weiguang Cai

    (School of Management Science and Real Estate, Chongqing University, Chongqing 400044, China)

  • Lina Ran

    (School of Management Science and Real Estate, Chongqing University, Chongqing 400044, China)

  • Lei Gan

    (School of Management Science and Real Estate, Chongqing University, Chongqing 400044, China)

Abstract

The impact of urban rail transit on housing prices has attracted the extensive attention of scholars, but few studies have explored the heterogeneous impact of rail transit on housing prices with different price levels. To solve this problem, we adopted the hedonic price model based on ordinary least squares regression as a supplementary method of quantile regression to study the heterogeneous impact of the Chengdu Metro system on low-, middle-, and high-priced housing. The result shows that the housing price rises first, then falls with the distance from the housing to the nearest subway station. Besides, the influence of transportation accessibility on low-, middle-, and high-priced housing decreases progressively. This research can provide a reference for the government’s transportation planning and decision-making.

Suggested Citation

  • Pengyu Ren & Zhaoji Li & Weiguang Cai & Lina Ran & Lei Gan, 2021. "Heterogeneity Analysis of Urban Rail Transit on Housing with Different Price Levels: A Case Study of Chengdu, China," Land, MDPI, vol. 10(12), pages 1-15, December.
  • Handle: RePEc:gam:jlands:v:10:y:2021:i:12:p:1330-:d:694418
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/10/12/1330/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/10/12/1330/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wang, Yiming & Feng, Suwei & Deng, Zhongwei & Cheng, Shuangyu, 2016. "Transit premium and rent segmentation: A spatial quantile hedonic analysis of Shanghai Metro," Transport Policy, Elsevier, vol. 51(C), pages 61-69.
    2. Zhong, Haotian & Li, Wei, 2016. "Rail transit investment and property values: An old tale retold," Transport Policy, Elsevier, vol. 51(C), pages 33-48.
    3. He, Sylvia Y., 2020. "Regional impact of rail network accessibility on residential property price: Modelling spatial heterogeneous capitalisation effects in Hong Kong," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 244-263.
    4. Dongfang Zhang & Jingjuan Jiao, 2019. "How Does Urban Rail Transit Influence Residential Property Values? Evidence from An Emerging Chinese Megacity," Sustainability, MDPI, vol. 11(2), pages 1-16, January.
    5. 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.
    6. Mathur, Shishir & Smith, Adam, 2013. "Land value capture to fund public transportation infrastructure: Examination of joint development projects' revenue yield and stability," Transport Policy, Elsevier, vol. 30(C), pages 327-335.
    7. Cao, Xinyu (Jason) & Porter-Nelson, Dean, 2016. "Real estate development in anticipation of the Green Line light rail transit in St. Paul," Transport Policy, Elsevier, vol. 51(C), pages 24-32.
    8. Kyeongsu Kim & Michael L. Lahr, 2014. "The impact of Hudson-Bergen Light Rail on residential property appreciation," Papers in Regional Science, Wiley Blackwell, vol. 93, pages 79-97, November.
    9. 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.
    10. 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.
    11. Zhang, Lei, 2016. "Flood hazards impact on neighborhood house prices: A spatial quantile regression analysis," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 12-19.
    12. Dziauddin, Mohd Faris, 2019. "Estimating land value uplift around light rail transit stations in Greater Kuala Lumpur: An empirical study based on geographically weighted regression (GWR)," Research in Transportation Economics, Elsevier, vol. 74(C), pages 10-20.
    13. Medda, Francesca, 2012. "Land value capture finance for transport accessibility: a review," Journal of Transport Geography, Elsevier, vol. 25(C), pages 154-161.
    14. 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.
    15. Camins-Esakov, Jacob & Vandegrift, Donald, 2018. "Impact of a light rail extension on residential property values," Research in Transportation Economics, Elsevier, vol. 67(C), pages 11-18.
    16. Mathur, Shishir, 2020. "Impact of transit stations on house prices across entire price spectrum: A quantile regression approach," Land Use Policy, Elsevier, vol. 99(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li, Xinjian & Love, Peter E.D. & Luo, Hanbin & Fang, Weili, 2022. "A systemic model for implementing land value capture to support urban rail transit infrastructure projects," Transportation Research Part A: Policy and Practice, Elsevier, vol. 156(C), pages 90-112.
    2. Zhang, Min, 2023. "Value uplift from transit investment-Property value or land value? A case study of the Gold Coast light rail system in Australia," Transport Policy, Elsevier, vol. 132(C), pages 88-98.
    3. AlQuhtani, Saad & Anjomani, Ardeshir, 2019. "Do rail transit stations affect housing value changes? The Dallas Fort-Worth metropolitan area case and implications," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    4. 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.
    5. 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.
    6. Aliyu Ahmad Aliyu & Olurotimi Adebowale Kemiki & Muhammad Umar Bello, 2018. "Transportation Accessibility Benefit and the Dynamic Pattern of Real Estate Prices: Emerging Literature," Traektoriâ Nauki = Path of Science, Altezoro, s.r.o. & Dialog, vol. 4(11), pages 1001-1016, November.
    7. 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).
    8. Sangwan Lee & Liming Wang, 2022. "Intermediate Effect of the COVID-19 Pandemic on Prices of Housing near Light Rail Transit: A Case Study of the Portland Metropolitan Area," Sustainability, MDPI, vol. 14(15), pages 1-17, July.
    9. Rémy Le Boennec & Julie Bulteau & Thierry Feuillet, 2022. "The role of commuter rail accessibility in the formation of residential land values: exploring spatial heterogeneity in peri-urban and remote areas," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(1), pages 163-186, August.
    10. Li, Jianyi & Huang, Hao, 2020. "Effects of transit-oriented development (TOD) on housing prices: A case study in Wuhan, China," Research in Transportation Economics, Elsevier, vol. 80(C).
    11. 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.
    12. 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.
    13. Wei Li & Kenneth Joh, 2017. "Exploring the synergistic economic benefit of enhancing neighbourhood bikeability and public transit accessibility based on real estate sale transactions," Urban Studies, Urban Studies Journal Limited, vol. 54(15), pages 3480-3499, November.
    14. Pearson, Jonathan & Muldoon-Smith, Kevin & Liu, Henry & Robson, Simon, 2022. "How does the extension of existing transport infrastructure affect land value? A case study of the Tyne and Wear Light Transit Metro system," Land Use Policy, Elsevier, vol. 112(C).
    15. 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.
    16. 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.
    17. Schmidt, Adam & Bardaka, Eleni & Thill, Jean-Claude, 2022. "Causal, spatiotemporal impacts of transit investments: Exploring spatial heterogeneity from announcement through long-run operation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 161(C), pages 151-169.
    18. Sharma, Rohit & Newman, Peter, 2018. "Can land value capture make PPP's competitive in fares? A Mumbai case study," Transport Policy, Elsevier, vol. 64(C), pages 123-131.
    19. Renan Almeida & Marcelo Brandão & Ramon Torres & Pedro Patrício & Pedro Amaral, 2021. "An assessment of the impacts of large‐scale urban projects on land values: The case of Belo Horizonte, Brazil," Papers in Regional Science, Wiley Blackwell, vol. 100(2), pages 517-559, April.
    20. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:10:y:2021:i:12:p:1330-:d:694418. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.