IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v51y2016icp93-102.html
   My bibliography  Save this article

Density-oriented versus development-oriented transit investment: Decoding metro station location selection in Shenzhen

Author

Listed:
  • Yang, Jiawen
  • Chen, Junxian
  • Le, Xiaohui
  • Zhang, Qin

Abstract

The transit-oriented development literature has focused on the built environment around stations in operation, largely neglecting how the station location was selected. We hypothesize that city governments in China are likely to put stations outside established suburban centers. By putting metro stations at relatively underdeveloped places, city governments can lower right-of-way cost and gain more revenue from future land transactions. Using Shenzhen as a case study, we test this hypothesis with metro planning examples and land transaction data from 2000 to 2014. We found that metro alignment and station placement has bypassed the core of established communities. This planning practice is supported by a strong real estate market that appreciates transit accessibility, despite the high transit operation subsidy.

Suggested Citation

  • Yang, Jiawen & Chen, Junxian & Le, Xiaohui & Zhang, Qin, 2016. "Density-oriented versus development-oriented transit investment: Decoding metro station location selection in Shenzhen," Transport Policy, Elsevier, vol. 51(C), pages 93-102.
    • Handle: RePEc:eee:trapol:v:51:y:2016:i:c:p:93-102
    DOI: 10.1016/j.tranpol.2016.04.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X16301858
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tranpol.2016.04.004?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Linneman, Peter, 1980. "Some empirical results on the nature of the hedonic price function for the urban housing market," Journal of Urban Economics, Elsevier, vol. 8(1), pages 47-68, July.
    2. Cervero, Robert & Landis, John, 1993. "Assessing the impacts of urban rail transit on local real estate markets using quasi-experimental comparisons," Transportation Research Part A: Policy and Practice, Elsevier, vol. 27(1), pages 13-22, January.
    3. Ghebreegziabiher Debrezion & Eric Pels & Piet Rietveld, 2006. "The Impact of Rail Transport on Real Estate Prices: An Empirical Analysis of the Dutch Housing Market," Tinbergen Institute Discussion Papers 06-031/3, Tinbergen Institute.
    4. Bae, Chang-Hee Christine & Jun, Myung-Jin & Park, Hyeon, 2003. "The impact of Seoul's subway Line 5 on residential property values," Transport Policy, Elsevier, vol. 10(2), pages 85-94, April.
    5. Daniel Baldwin Hess & Tangerine Maria Almeida, 2007. "Impact of Proximity to Light Rail Rapid Transit on Station-area Property Values in Buffalo, New York," Urban Studies, Urban Studies Journal Limited, vol. 44(5-6), pages 1041-1068, May.
    6. Cervero, Robert & Kang, Chang Deok, 2011. "Bus rapid transit impacts on land uses and land values in Seoul, Korea," Transport Policy, Elsevier, vol. 18(1), pages 102-116, January.
    7. Grimes, Arthur & Young, Chris, 2013. "Spatial effects of urban rail upgrades," Journal of Transport Geography, Elsevier, vol. 30(C), pages 1-6.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jing Cheng, 2021. "Mathematical Models and Data Analysis of Residential Land Leasing Behavior of District Governments of Beijing in China," Mathematics, MDPI, vol. 9(18), pages 1-14, September.
    2. 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.
    3. Jing Cheng & Xiaowei Luo, 2022. "Analyzing the Land Leasing Behavior of the Government of Beijing, China, via the Multinomial Logit Model," Land, MDPI, vol. 11(3), pages 1-14, March.
    4. 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.
    5. Yang, Jiawen & Cao, Jason & Zhou, Yufei, 2021. "Elaborating non-linear associations and synergies of subway access and land uses with urban vitality in Shenzhen," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 74-88.
    6. Ibraeva, Anna & Correia, Gonçalo Homem de Almeida & Silva, Cecília & Antunes, António Pais, 2020. "Transit-oriented development: A review of research achievements and challenges," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 110-130.
    7. Peng, Ying & Tian, Chuanhao & Wen, Haizhen, 2021. "How does school district adjustment affect housing prices: An empirical investigation from Hangzhou, China," China Economic Review, Elsevier, vol. 69(C).
    8. Abdi, Mohammad Hamed, 2021. "What the newcomers to transit-oriented development are confronted with? Evidence from Iranian policy and planning," Journal of Transport Geography, Elsevier, vol. 92(C).
    9. Xiaoqi Zhang & Yanqiao Zheng & Lei Sun & Qiwen Dai, 2019. "Urban Structure, Subway Systemand Housing Price: Evidence from Beijing and Hangzhou, China," Sustainability, MDPI, vol. 11(3), pages 1-23, January.
    10. Wang, Jinshuo & Samsura, D. Ary A. & van der Krabben, Erwin, 2019. "Institutional barriers to financing transit-oriented development in China: Analyzing informal land value capture strategies," Transport Policy, Elsevier, vol. 82(C), pages 1-10.
    11. 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.
    12. Yang, Jiawen & Quan, Jige & Yan, Bin & He, Canfei, 2016. "Urban rail investment and transit-oriented development in Beijing: Can it reach a higher potential?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 89(C), pages 140-150.
    13. 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).
    14. Cheng, Jing, 2022. "Analysis of the factors influencing industrial land leasing in Beijing of China based on the district-level data," Land Use Policy, Elsevier, vol. 122(C).
    15. Ibraeva, Anna & Van Wee, Bert & Correia, Gonçalo Homem de Almeida & Pais Antunes, António, 2021. "Longitudinal macro-analysis of car-use changes resulting from a TOD-type project: The case of Metro do Porto (Portugal)," Journal of Transport Geography, Elsevier, vol. 92(C).
    16. Sun, Guibo & Wallace, Dugald & Webster, Chris, 2020. "Unravelling the impact of street network structure and gated community layout in development-oriented transit design," Land Use Policy, Elsevier, vol. 90(C).
    17. Cheng, Jing, 2021. "Analysis of commercial land leasing of the district governments of Beijing in China," Land Use Policy, Elsevier, vol. 100(C).

    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. Efthymiou, D. & Antoniou, C., 2015. "Investigating the impact of recession on transportation cost capitalization: a spatial analysis," Journal of Transport Geography, Elsevier, vol. 42(C), pages 1-9.
    3. Efthymiou, D. & Antoniou, C., 2013. "How do transport infrastructure and policies affect house prices and rents? Evidence from Athens, Greece," Transportation Research Part A: Policy and Practice, Elsevier, vol. 52(C), pages 1-22.
    4. 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.
    5. Hui Sun & Yuning Wang & Qingbo Li, 2016. "The Impact of Subway Lines on Residential Property Values in Tianjin: An Empirical Study Based on Hedonic Pricing Model," Discrete Dynamics in Nature and Society, Hindawi, vol. 2016, pages 1-10, September.
    6. 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.
    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. Helen X. H. Bao & Doris Ka Chuen Mok, 2020. "A Link between East and West: How the Guangzhou-Shenzhen-Hong Kong Express Rail Link Affects Property Prices in Hong Kong," International Real Estate Review, Global Social Science Institute, vol. 23(3), pages 993-1021.
    9. Julie Bulteau & Thierry Feuillet & Rémy Le Boennec, 2018. "Spatial Heterogeneity of Sustainable Transportation Offer Values: A Comparative Analysis of Nantes Urban and Periurban/Rural Areas (France)," Post-Print halshs-01706911, HAL.
    10. 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.
    11. Amarin Siripanich & Taha Hossein Rashidi & Emily Moylan, 2019. "Interaction of Public Transport Accessibility and Residential Property Values Using Smart Card Data," Sustainability, MDPI, vol. 11(9), pages 1-24, May.
    12. Pagliara, Francesca & Papa, Enrica, 2011. "Urban rail systems investments: an analysis of the impacts on property values and residents’ location," Journal of Transport Geography, Elsevier, vol. 19(2), pages 200-211.
    13. 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.
    14. 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.
    15. Polyzois KANELLEAS & Charalambos KYRIAKIDIS & Filippos ILIADIS & Anastasia TSOLAKI, 2018. "Train station planning and house prices interaction in Athens via hedonic modeling and spatial analysis," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 48, pages 41-51.
    16. Ke, Yue & Gkritza, Konstantina, 2019. "Light rail transit and housing markets in Charlotte-Mecklenburg County, North Carolina: Announcement and operations effects using quasi-experimental methods," Journal of Transport Geography, Elsevier, vol. 76(C), pages 212-220.
    17. Bardaka, Eleni & Delgado, Michael S. & Florax, Raymond J.G.M., 2018. "Causal identification of transit-induced gentrification and spatial spillover effects: The case of the Denver light rail," Journal of Transport Geography, Elsevier, vol. 71(C), pages 15-31.
    18. Jin, Tanhua & Cheng, Long & Liu, Zhicheng & Cao, Jun & Huang, Haosheng & Witlox, Frank, 2022. "Nonlinear public transit accessibility effects on housing prices: Heterogeneity across price segments," Transport Policy, Elsevier, vol. 117(C), pages 48-59.
    19. Mohammad, Sara I. & Graham, Daniel J. & Melo, Patricia C. & Anderson, Richard J., 2013. "A meta-analysis of the impact of rail projects on land and property values," Transportation Research Part A: Policy and Practice, Elsevier, vol. 50(C), pages 158-170.
    20. Mu, Rui & Jong, Martin de, 2012. "Establishing the conditions for effective transit-oriented development in China: the case of Dalian," Journal of Transport Geography, Elsevier, vol. 24(C), pages 234-249.

    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:eee:trapol:v:51:y:2016:i:c:p:93-102. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/30473/description#description .

    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.