IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i3p311-d1349193.html
   My bibliography  Save this article

Exploring the Impact of Multimodal Access on Property and Land Economies in Shanghai’s Inner Ring Districts: Leveraging Advanced Spatial Analysis Techniques

Author

Listed:
  • Wei He

    (School of Architecture and Allied Art, Guangzhou Academy of Fine Arts, Guangzhou 510006, China)

  • Ruqing Zhao

    (Department of Geoscience and Natural Resource Management, Faculty of Science, University of Copenhagen, 1870 Copenhagen, Denmark)

  • Shu Gao

    (Texas Department of Transportation, Austin, TX 78744, USA)

Abstract

This study explores the impact of accessibility on property pricing and land economies by advanced spatial analysis techniques, focusing on Shanghai as a representative metropolis. Despite the impact of metro systems on residential property values, which has been frequently assessed, a research gap exists in understanding this phenomenon in Asian, particularly Chinese, urban contexts. Addressing this gap is crucial for shaping effective urban land use policy and improving the land economy rationally in China and similar settings facing urban challenges. To assess the impact of metro station accessibility on property prices in Shanghai, with extensive rail transit, and to deeply explore the overall impact of land value varieties driven by metro on urban development, we conducted a comprehensive analysis, with discussion about future aspirations for land planning and management along with landscape and facility design, and measures to improve land economy. The procedures involved creating neighborhood centroids to represent accessibility and using the Euclidean distance analysis to determine the shortest paths to metro stations. Our evaluation incorporated a hedonic pricing model, considering variables like neighborhood characteristics, housing attributes, and socio-economic factors. Advanced spatial analysis encompassing Ordinary Least Squares (OLS) regression and XGBoost analysis were employed to explore spatial effects, and Geographically Weighted Regression (GWR) helped examine spatial patterns and address autocorrelation challenges. Results revealed a negative association between distance to metro station and property prices, indicating a non-linear and spatially clustered relationship and heterogeneous spatial pattern. We dissected the non-linear results in detail, which complemented the conclusion in existing research. This study provides valuable insights into the dynamic interplay between metro accessibility and housing market behaviors in a significant Asian urban context, offering targeted suggestions for urban planners and governors to decide on more reasonable land use planning and management strategies, along with landscape and infrastructure design, to promote not only the healthy growth of the real estate market but also the sustainable urban development in China and similar regions.

Suggested Citation

  • Wei He & Ruqing Zhao & Shu Gao, 2024. "Exploring the Impact of Multimodal Access on Property and Land Economies in Shanghai’s Inner Ring Districts: Leveraging Advanced Spatial Analysis Techniques," Land, MDPI, vol. 13(3), pages 1-19, February.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:3:p:311-:d:1349193
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/3/311/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/13/3/311/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lin, Boqiang & Du, Zhili, 2017. "Can urban rail transit curb automobile energy consumption?," Energy Policy, Elsevier, vol. 105(C), pages 120-127.
    2. Edward L. Glaeser & Scott Duke Kominers & Michael Luca & Nikhil Naik, 2018. "Big Data And Big Cities: The Promises And Limitations Of Improved Measures Of Urban Life," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 114-137, January.
    3. Qisheng Pan, 2013. "The impacts of an urban light rail system on residential property values: a case study of the Houston METRORail transit line," Transportation Planning and Technology, Taylor & Francis Journals, vol. 36(2), pages 145-169, April.
    4. Ibeas, Ángel & Cordera, Ruben & dell’Olio, Luigi & Coppola, Pierluigi & Dominguez, Alberto, 2012. "Modelling transport and real-estate values interactions in urban systems," Journal of Transport Geography, Elsevier, vol. 24(C), pages 370-382.
    5. Karen Mayor & Seán Lyons & David Duffy & Richard S. J. Tol, 2012. "A Hedonic Analysis of the Value of Rail Transport in the Greater Dublin Area," Journal of Transport Economics and Policy, University of Bath, vol. 46(2), pages 239-261, May.
    6. Zhengyi Zhou & Hong Chen & Lu Han & Anming Zhang, 2021. "The Effect of a Subway on House Prices: Evidence from Shanghai," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(S1), pages 199-234, March.
    7. Mi Diao & Yu Qin & Tien Foo Sing, 2016. "Negative Externalities of Rail Noise and Housing Values: Evidence from the Cessation of Railway Operations in Singapore," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 44(4), pages 878-917, October.
    8. Dean H. Gatzlaff & Marc T. Smith, 1993. "The Impact of the Miami Metrorail on the Value of Residences near Station Locations," Land Economics, University of Wisconsin Press, vol. 69(1), pages 54-66.
    9. Bowes, David R. & Ihlanfeldt, Keith R., 2001. "Identifying the Impacts of Rail Transit Stations on Residential Property Values," Journal of Urban Economics, Elsevier, vol. 50(1), pages 1-25, July.
    10. 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.
    11. Seungwoo Chin & Matthew E. Kahn & Hyungsik Roger Moon, 2020. "Estimating the Gains from New Rail Transit Investment: A Machine Learning Tree Approach," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 48(3), pages 886-914, September.
    12. Tao Li, 2020. "The Value of Access to Rail Transit in a Congested City: Evidence from Housing Prices in Beijing," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 48(2), pages 556-598, June.
    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. Zhong, Haotian & Li, Wei, 2016. "Rail transit investment and property values: An old tale retold," Transport Policy, Elsevier, vol. 51(C), pages 33-48.
    2. 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.
    3. Zachary T. Keeler & Heather M. Stephens, 2023. "The capitalization of metro rail access in urban housing markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 51(3), pages 686-720, May.
    4. Diao, Mi & Leonard, Delon & Sing, Tien Foo, 2017. "Spatial-difference-in-differences models for impact of new mass rapid transit line on private housing values," Regional Science and Urban Economics, Elsevier, vol. 67(C), pages 64-77.
    5. 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.
    6. Shengxiao Li & Luoye Chen & Pengjun Zhao, 2019. "The impact of metro services on housing prices: a case study from Beijing," Transportation, Springer, vol. 46(4), pages 1291-1317, August.
    7. Rennert, Lindiwe, 2022. "A meta-analysis of the impact of rail stations on property values: Applying a transit planning lens," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 165-180.
    8. 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.
    9. Zhengyi Zhou & Hong Chen & Lu Han & Anming Zhang, 2021. "The Effect of a Subway on House Prices: Evidence from Shanghai," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(S1), pages 199-234, March.
    10. Diao, Mi & Li, Qiang & Sing, Tien Foo & Zhan, Changwei, 2023. "Disamenities of living close to transit tracks: Evidence from Singapore's MRT system," Regional Science and Urban Economics, Elsevier, vol. 100(C).
    11. 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.
    12. Tian, Chuanhao & Peng, Ying & Wen, Haizhen & Yue, Wenze & Fang, Li, 2021. "Subway boosts housing values, for whom: A quasi-experimental analysis," Research in Transportation Economics, Elsevier, vol. 90(C).
    13. Pasha, Obed & Wyczalkowski, Chris & Sohrabian, Dro & Lendel, Iryna, 2020. "Transit effects on poverty, employment, and rent in Cuyahoga County, Ohio," Transport Policy, Elsevier, vol. 88(C), pages 33-41.
    14. Macfarlane, Gregory S. & Garrow, Laurie A. & Moreno-Cruz, Juan, 2015. "Do Atlanta residents value MARTA? Selecting an autoregressive model to recover willingness to pay," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 214-230.
    15. Zhijunjie Zhai & Minfeng Yao & Yueying Li, 2022. "Evaluation of Land-Use Layout of the Rail Station Area Based on the Difference in Noise Sensitivity to Rail Transit, Taking a Suburb of Tokyo as an Example," Sustainability, MDPI, vol. 14(13), pages 1-23, June.
    16. Ekaterina Chernobai & Michael Reibel & Michael Carney, 2011. "Nonlinear Spatial and Temporal Effects of Highway Construction on House Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 42(3), pages 348-370, April.
    17. Gabriel M Ahlfeldt, 2013. "If We Build it, Will They Pay? Predicting Property Price Effects of Transport Innovations," Environment and Planning A, , vol. 45(8), pages 1977-1994, August.
    18. Luca D’Acci, 2014. "Monetary, Subjective and Quantitative Approaches to Assess Urban Quality of Life and Pleasantness in Cities (Hedonic Price, Willingness-to-Pay, Positional Value, Life Satisfaction, Isobenefit Lines)," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 115(2), pages 531-559, January.
    19. Billings, Stephen B., 2011. "Estimating the value of a new transit option," Regional Science and Urban Economics, Elsevier, vol. 41(6), pages 525-536.
    20. Mathur, Shishir, 2019. "An evaluative framework for examining the use of land value capture to fund public transportation projects," Land Use Policy, Elsevier, vol. 86(C), pages 357-364.

    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:13:y:2024:i:3:p:311-:d:1349193. 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.