IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i15p8481-d604187.html
   My bibliography  Save this article

Measuring the Urban Forms of Shanghai’s City Center and Its New Districts: A Neighborhood-Level Comparative Analysis

Author

Listed:
  • Lin Lin

    (Department of Urban Planning and Design, Xi’an Jiaotong-Liverpool University, Suzhou 215123, China)

  • Xueming (Jimmy) Chen

    (Urban and Regional Studies and Planning Program, L. Douglas Wilder School of Government and Public Affairs, Virginia Commonwealth University, Richmond, VA 23284, USA)

  • Anne Vernez Moudon

    (Urban Form Lab, University of Washington, Seattle, WA 98195, USA)

Abstract

Rapid urban expansion has radically transformed the city centers and the new districts of Chinese cities. Both areas have undergone unique redevelopment and development over the past decades, generating unique urban forms worthy of study. To date, few studies have investigated development patterns and land use intensities at the neighborhood level. The present study aims to fill the gap and compare the densities of different types of developments and the spatial compositions of different commercial uses at the neighborhood level. We captured the attributes of their built environment that support instrumental activities of daily living of 710 neighborhoods centered on the public elementary schools of the entire Shanghai municipality using application programming interfaces provided in Baidu Map services. The 200 m neighborhood provided the best fit to capture the variations of the built environment. Overall, city center neighborhoods had significantly higher residential densities and housed more daily routine destinations than their counterparts in the new districts. Unexpectedly, however, the total length of streets was considerably smaller in city-center neighborhoods, likely reflecting the prominence of the wide multilane vehicular roads surrounding large center city redevelopment projects. The findings point to convergence between the city center’s urban forms and that of the new districts.

Suggested Citation

  • Lin Lin & Xueming (Jimmy) Chen & Anne Vernez Moudon, 2021. "Measuring the Urban Forms of Shanghai’s City Center and Its New Districts: A Neighborhood-Level Comparative Analysis," Sustainability, MDPI, vol. 13(15), pages 1-18, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:15:p:8481-:d:604187
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/15/8481/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/15/8481/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Saelens, B.E. & Sallis, J.F. & Black, J.B. & Chen, D., 2003. "Neighborhood-Based Differences in Physical Activity: An Environment Scale Evaluation," American Journal of Public Health, American Public Health Association, vol. 93(9), pages 1552-1558.
    2. Austin, S.B. & Melly, S.J. & Sanchez, B.N. & Patel, A. & Buka, S. & Gortmaker, S.L., 2005. "Clustering of fast-food restaurants around schools: A novel application of spatial statistics to the study of food environments," American Journal of Public Health, American Public Health Association, vol. 95(9), pages 1575-1581.
    3. Michael W. Mehaffy & Sergio Porta & Ombretta Romice, 2015. "The "neighborhood unit" on trial: a case study in the impacts of urban morphology," Journal of Urbanism: International Research on Placemaking and Urban Sustainability, Taylor & Francis Journals, vol. 8(2), pages 199-217, June.
    4. Davis, B. & Carpenter, C., 2009. "Proximity of fast-food restaurants to schools and adolescent obesity," American Journal of Public Health, American Public Health Association, vol. 99(3), pages 505-510.
    5. Charles M. Tiebout, 1956. "A Pure Theory of Local Expenditures," Journal of Political Economy, University of Chicago Press, vol. 64(5), pages 416-416.
    6. Jian Feng & Yixing Zhou & Fulong Wu, 2008. "New Trends of Suburbanization in Beijing since 1990: From Government-led to Market-oriented," Regional Studies, Taylor & Francis Journals, vol. 42(1), pages 83-99.
    7. Easton, Sue & Ferrari, Ed, 2015. "Children's travel to school—the interaction of individual, neighbourhood and school factors," Transport Policy, Elsevier, vol. 44(C), pages 9-18.
    8. Zheng Wan, 2015. "China’s scientific progress hinges on access to data," Nature, Nature, vol. 520(7549), pages 587-587, April.
    9. G. Donald Jud & James M. Watts, 1981. "Schools and Housing Values," Land Economics, University of Wisconsin Press, vol. 57(3), pages 459-470.
    10. Xiaorui Zhang & Andong Ren & Lihua Chen & Xianyou Zheng, 2019. "Measurement and Spatial Difference Analysis on the Accessibility of Road Networks in Major Cities of China," Sustainability, MDPI, vol. 11(15), pages 1-15, August.
    11. Zhang, Muyang & Chen, Jie, 2018. "Unequal school enrollment rights, rent yields gap, and increased inequality: The case of Shanghai," China Economic Review, Elsevier, vol. 49(C), pages 229-240.
    12. Feng, Hao & Lu, Ming, 2013. "School quality and housing prices: Empirical evidence from a natural experiment in Shanghai, China," Journal of Housing Economics, Elsevier, vol. 22(4), pages 291-307.
    13. Zheng, Siqi & Kahn, Matthew E., 2008. "Land and residential property markets in a booming economy: New evidence from Beijing," Journal of Urban Economics, Elsevier, vol. 63(2), pages 743-757, March.
    14. Lincoln R Larson & Viniece Jennings & Scott A Cloutier, 2016. "Public Parks and Wellbeing in Urban Areas of the United States," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-19, April.
    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. Hu, Lirong & He, Shenjing & Luo, Yun & Su, Shiliang & Xin, Jing & Weng, Min, 2020. "A social-media-based approach to assessing the effectiveness of equitable housing policy in mitigating education accessibility induced social inequalities in Shanghai, China," Land Use Policy, Elsevier, vol. 94(C).
    2. Xiao Tian & Jin Liu & Yong Liu, 2022. "How Does the Quality of Junior High Schools Affect Housing Prices? A Quasi-Natural Experiment Based on the Admission Reform in Chengdu, China," Land, MDPI, vol. 11(9), pages 1-18, September.
    3. Ziming Liu & Jiayu Ye & Guangcheng Ren & Shuyi Feng, 2022. "The Effect of School Quality on House Prices: Evidence from Shanghai, China," Land, MDPI, vol. 11(11), pages 1-14, October.
    4. Chen, Jing & Li, Rui, 2023. "Pay for elite private schools or pay for higher housing prices? Evidence from an exogenous policy shock," Journal of Housing Economics, Elsevier, vol. 60(C).
    5. Wu, Guiying Laura & Feng, Qu & Li, Pei, 2015. "Does local governments’ budget deficit push up housing prices in China?," China Economic Review, Elsevier, vol. 35(C), pages 183-196.
    6. 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).
    7. Asirvatham, Jebaraj & Thomsen, Michael R. & Nayga, Rodolfo M. & Goudie, Anthony, 2019. "Do fast food restaurants surrounding schools affect childhood obesity?," Economics & Human Biology, Elsevier, vol. 33(C), pages 124-133.
    8. Xuan Huang & Bruno Lanz, 2018. "The Value of Air Quality in Chinese Cities: Evidence from Labor and Property Market Outcomes," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(4), pages 849-874, December.
    9. David M. Brasington, 1999. "Which Measures of School Quality Does the Housing Market Value?," Journal of Real Estate Research, American Real Estate Society, vol. 18(3), pages 395-414.
    10. Stephen Matthews & Daniel M. Parker, 2013. "Progress in Spatial Demography," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(10), pages 271-312.
    11. Ding, Kangzhe & Itoh, Ryo, 2023. "JUE Insight: The impact of the school admission restriction policy on the housing market in Shanghai," Journal of Urban Economics, Elsevier, vol. 136(C).
    12. Li Yin, 2009. "The Dynamics of Residential Segregation in Buffalo: An Agent-based Simulation," Urban Studies, Urban Studies Journal Limited, vol. 46(13), pages 2749-2770, December.
    13. Yoojin Yi & Euijune Kim & Eunjin Choi, 2017. "Linkage among School Performance, Housing Prices, and Residential Mobility," Sustainability, MDPI, vol. 9(6), pages 1-18, June.
    14. Brennan Davis & Cornelia Pechmann, 2023. "When Students Patronize Fast-Food Restaurants near School: The Effects of Identification with the Student Community, Social Activity Spaces and Social Liability Interventions," IJERPH, MDPI, vol. 20(5), pages 1-24, March.
    15. Benjamin Wirth & Davidt Hardt & Isabella Lehmann, 2016. "Capitalization of Local Taxes and Expenditures - The case of Bavarian Municipalities," ERSA conference papers ersa16p773, European Regional Science Association.
    16. Yadavalli, Anita P. & Florax, Raymond J.G.M., 2013. "The Effect of School Quality on House Prices: A Meta-Regression Analysis," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 151291, Agricultural and Applied Economics Association.
    17. Xiao, Yue & Wen, Haizhen & Hui, Eddie C.M. & Zhou, Ganghua, 2022. "Dynamic capitalization effects of educational facilities during different market stages: An empirical study in Hangzhou, China," Land Use Policy, Elsevier, vol. 122(C).
    18. David M. Brasington, 2002. "The Demand for Local Public Goods: The Case of Public School Quality," Public Finance Review, , vol. 30(3), pages 163-187, May.
    19. Meizi He & Patricia Tucker & Jason Gilliland & Jennifer D. Irwin & Kristian Larsen & Paul Hess, 2012. "The Influence of Local Food Environments on Adolescents’ Food Purchasing Behaviors," IJERPH, MDPI, vol. 9(4), pages 1-14, April.
    20. Ho Yeung Lam & Sisitha Jayasinghe & Kiran D. K. Ahuja & Andrew P. Hills, 2023. "Active School Commuting in School Children: A Narrative Review of Current Evidence and Future Research Implications," IJERPH, MDPI, vol. 20(20), pages 1-20, October.

    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:jsusta:v:13:y:2021:i:15:p:8481-:d:604187. 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.