IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i5p4364-d1084150.html
   My bibliography  Save this article

Comparative Study on Socio-Spatial Structures of the Typical Plain Cities of Chengdu and Beijing in Transitional China

Author

Listed:
  • Chan Xu

    (The Faculty of Geography & Resources Science, Sichuan Normal University, Chengdu 610101, China
    Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources (Ministry of Education), Sichuan Normal University, Chengdu 610068, China)

  • Qi An

    (The Faculty of Geography & Resources Science, Sichuan Normal University, Chengdu 610101, China)

  • Zichuan Guo

    (The Faculty of Geography & Resources Science, Sichuan Normal University, Chengdu 610101, China)

  • Xuemei Yu

    (School of Geography and Tourism, Shaanxi Normal University, Xi’an 710062, China)

  • Jie Zhang

    (The Faculty of Geography & Resources Science, Sichuan Normal University, Chengdu 610101, China)

  • Kui Tang

    (The Faculty of Geography & Resources Science, Sichuan Normal University, Chengdu 610101, China)

Abstract

China’s socioeconomic transformation and rapid urbanization since the end of the 20th Century have had an important impact on the social spatial structure of large cities. Social differentiation within cities is becoming increasingly prominent. Using detailed data gathered by the Fifth National Population Census of 2000, this study compares the social spatial structure and dynamic mechanisms of the core areas of the cities of Beijing and Chengdu. Factorial ecology analysis is used at the mesoscale to explore the following research questions: ‘How did factors shape the social spaces of two cities with similar topography but at different stages of development during China’s transition from a planned to a market economy?’; and ‘Are the traditional Western theories of socio-spatial interpretation equally applicable to China?’. The results show that Chengdu exhibits a combination of a concentric circle, fan-shaped, and multi-core socio-spatial structure, while Beijing shows a fan-shaped structure. In 2000, influenced by its overall level and stage of socioeconomic development, Beijing was experiencing a faster socio-spatial transformation than Chengdu, and the driving effect of capital on social differentiation and spatial competition was more obvious. The main dynamic mechanisms driving the formation of socio-spatial structures in Beijing and Chengdu include the natural environmental foundation, historical inheritance, urban planning, housing policies, and international influence. The three major variables in the study of traditional Western social spaces, namely economy, family, and ethnic status, were confirmed as applicable to our two case study cities with socioeconomic status as measured by occupation and housing conditions exerting the strongest effect. This perspective of comparing different cities in the same transitional period offers unique insights in identifying the key drivers of socio-spatial differentiation and polarization and their relative magnitude of effect, while enriching the catalog of empirical urban social space research both in China and in the rest of the world.

Suggested Citation

  • Chan Xu & Qi An & Zichuan Guo & Xuemei Yu & Jie Zhang & Kui Tang, 2023. "Comparative Study on Socio-Spatial Structures of the Typical Plain Cities of Chengdu and Beijing in Transitional China," Sustainability, MDPI, vol. 15(5), pages 1-32, February.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:4364-:d:1084150
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/5/4364/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/5/4364/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Federico Benjamín Galacho-Jiménez & David Carruana-Herrera & Julián Molina & José Damián Ruiz-Sinoga, 2022. "Evidence of the Relationship between Social Vulnerability and the Spread of COVID-19 in Urban Spaces," IJERPH, MDPI, vol. 19(9), pages 1-22, April.
    2. Vasco Barbosa & Mónica Marcela Suárez Pradilla, 2021. "Identifying the Social Urban Spatial Structure of Vulnerability: Towards Climate Change Equity in Bogotá," Urban Planning, Cogitatio Press, vol. 6(4), pages 365-379.
    3. Tal Modai-Snir & Maarten van Ham, 2020. "Reordering, inequality and divergent growth: processes of neighbourhood change in Dutch cities," Regional Studies, Taylor & Francis Journals, vol. 54(12), pages 1668-1679, December.
    4. Dong Lin & Andrew Allan & Jianqiang Cui, 2015. "The impacts of urban spatial structure and socio-economic factors on patterns of commuting: a review," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 19(2), pages 238-255, July.
    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. Seungwoo Han, 2022. "Spatial stratification and socio-spatial inequalities: the case of Seoul and Busan in South Korea," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-14, December.
    2. Jaewon Lim & Jae Hong Kim, 2019. "Joint Determination of Residential Relocation and Commuting: A Forecasting Experiment for Sustainable Land Use and Transportation Planning," Sustainability, MDPI, vol. 11(1), pages 1-24, January.
    3. David Jung-Hwi Lee & Jean-Michel Guldmann, 2023. "Optimal Regional Allocation of Future Population and Employment under Urban Boundary and Density Constraints: A Spatial Interaction Modeling Approach," Land, MDPI, vol. 12(2), pages 1-33, February.
    4. Mostafa Ghadami & Andreas Dittmann & Taher Safarrad, 2020. "Lack of Spatial Approach in Urban Density Policies: The Case of the Master Plan of Tehran," Sustainability, MDPI, vol. 12(18), pages 1-22, September.
    5. Lara Engelfriet & Eric Koomen, 2018. "The impact of urban form on commuting in large Chinese cities," Transportation, Springer, vol. 45(5), pages 1269-1295, September.
    6. Erick Guerra & Shengxiao Li & Ariadna Reyes, 2022. "How do low-income commuters get to work in US and Mexican cities? A comparative empirical assessment," Urban Studies, Urban Studies Journal Limited, vol. 59(1), pages 75-96, January.
    7. Yi Yang & Tetsuo Kidokoro & Fumihiko Seta & Ziyi Wang, 2023. "Are Local Residents Benefiting from the Latest Urbanization Dynamic in China? China’s Characteristic Town Strategy from a Resident Perspective: Evidence from Two Cases in Hangzhou," Land, MDPI, vol. 12(2), pages 1-37, February.
    8. Marcińczak, Szymon & Bartosiewicz, Bartosz, 2018. "Commuting patterns and urban form: Evidence from Poland," Journal of Transport Geography, Elsevier, vol. 70(C), pages 31-39.
    9. Jianghong Li & Matthias Pollmann-Schult, 2016. "Fathers’ Commute to Work and Children’s Social and Emotional Well-Being in Germany," Journal of Family and Economic Issues, Springer, vol. 37(3), pages 488-501, September.
    10. Xudan Zhou & Chenyao Hao & Yu Bao & Qiushi Zhang & Qing Wang & Wei Wang & Hongliang Guo, 2023. "Is the Urban Landscape Connected? Construction and Optimization of Urban Ecological Networks Based on Morphological Spatial Pattern Analysis," Sustainability, MDPI, vol. 15(20), pages 1-19, October.
    11. Natalia Zdanowska, 2023. "Socio-spatial Inequalities in a Context of "Great Economic Wealth". Case study of neighbourhoods of Luxembourg City," Papers 2307.09251, arXiv.org.
    12. Tae-Hyoung Tommy Gim, 2017. "Investigating travel utility elements in association with travel time and mode choice: the case of Seoul, South Korea," Transportation Planning and Technology, Taylor & Francis Journals, vol. 40(6), pages 641-660, August.
    13. Federico Benjamín Galacho-Jiménez & David Carruana-Herrera & Julián Molina & José Damián Ruiz-Sinoga, 2022. "Tempo-Spatial Modelling of the Spread of COVID-19 in Urban Spaces," IJERPH, MDPI, vol. 19(15), pages 1-17, August.
    14. Xiaoyan Li & Yanchuan Mou & Huiying Wang & Chaohui Yin & Qingsong He, 2018. "How Does Polycentric Urban Form Affect Urban Commuting? Quantitative Measurement Using Geographical Big Data of 100 Cities in China," Sustainability, MDPI, vol. 10(12), pages 1-14, December.
    15. José M. Casado-Díaz & Raquel Simón-Albert & Hipólito Simón, 2022. "Reassessing the commuting penalty for immigrants: new evidence from Spain," Transportation, Springer, vol. 49(4), pages 1099-1132, August.
    16. Mark Seasons, 2021. "The Equity Dimension of Climate Change: Perspectives From the Global North and South," Urban Planning, Cogitatio Press, vol. 6(4), pages 283-286.
    17. Peng Cui & Zhiyu Dong & Xin Yao & Yifei Cao & Yifan Sun & Lan Feng, 2022. "What Makes Urban Communities More Resilient to COVID-19? A Systematic Review of Current Evidence," IJERPH, MDPI, vol. 19(17), pages 1-15, August.
    18. Dong Lin & Andrew Allan & Jianqiang Cui, 2016. "Exploring Differences in Commuting Behaviour among Various Income Groups during Polycentric Urban Development in China: New Evidence and Its Implications," Sustainability, MDPI, vol. 8(11), pages 1-17, November.
    19. Tae-Hyoung Tommy Gim, 2017. "Full Random Coefficients Multilevel Modeling of the Relationship between Land Use and Trip Time on Weekdays and Weekends," Sustainability, MDPI, vol. 9(10), pages 1-26, October.
    20. Juan Francisco Sortino Barrionuevo & Hugo Castro Noblejas & María Jesús Perles Roselló, 2022. "Mapping the Risk of COVID-19 Contagion at Urban Scale," Land, MDPI, vol. 11(9), pages 1-24, September.

    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:15:y:2023:i:5:p:4364-:d:1084150. 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.