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Spatio-Temporal Evolution and Implications of Urban Residential Space Based on the New Commercial Housing in Xi’an, China, 2006–2022

Author

Listed:
  • Xiaoying Bai

    (College of Urban and Environmental Sciences, Northwest University, Xi’an 710127, China)

  • Wenheng Wu

    (College of Urban and Environmental Sciences, Northwest University, Xi’an 710127, China
    Key Laboratory of Earth Surface System and Environmental Carrying Capacity of Shaanxi Province, Northwest University, Xi’an 710127, China)

  • Limeng Liu

    (College of Urban and Environmental Sciences, Northwest University, Xi’an 710127, China)

  • Wanying Shang

    (College of Urban and Environmental Sciences, Northwest University, Xi’an 710127, China)

  • Haixia Dong

    (School of Public Security, Northwest University of Political Science and Law, Xi’an 710122, China)

Abstract

Since 1998, comprehensive housing marketization has led to a more complex urban residential space structure in China, as evidenced by the changes in new commercial housing. The current stage is critical for China in its pursuit of high-quality and sustainable urban development, with the spatial structure of housing being a key aspect in achieving this goal. In order to clarify the characteristics of the urban residential space in China and grasp the spatio-temporal changes of new commercial housing, this study takes the data of new commercial housing projects in Xi’an, northwest China, from 2006 to 2022 as the basis, and uses the GIS method to explore the characteristics of the spatio-temporal evolution of the urban residential space and to investigate the factors influencing it. The results reveal changes in the number, size, and spatial distribution of new commercial housing in Xi’an. The evolution of residential space is influenced by cultural and social changes, population, and economic factors, in addition to the main influence of national policies. The renewal of urban villages into commercial housing projects is a prominent feature of changes in urban residential space, which saves construction land and improves residents’ living conditions. Finally, the expansion of urban residential space parallels the urbanization process, showing a pattern of ‘external expansion accompanied by internal renewal’, and the evolution process and property rights management are different from those of other countries.

Suggested Citation

  • Xiaoying Bai & Wenheng Wu & Limeng Liu & Wanying Shang & Haixia Dong, 2024. "Spatio-Temporal Evolution and Implications of Urban Residential Space Based on the New Commercial Housing in Xi’an, China, 2006–2022," Sustainability, MDPI, vol. 16(19), pages 1-21, September.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:19:p:8495-:d:1488961
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    References listed on IDEAS

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    1. Zhongyu He & Yasushi Asami, 2014. "How Do Landowners Price their Lands during Land Expropriation and the Motives Behind It: An Explanation from a WTA/WTP Experiment in Central Beijing," Urban Studies, Urban Studies Journal Limited, vol. 51(2), pages 412-427, February.
    2. Sylvia Y. He & Sui Tao & Mee Kam Ng & Hendrik Tieben, 2020. "Evaluating Hong Kong’s Spatial Planning in New Towns From the Perspectives of Job Accessibility, Travel Mobility, and Work–Life Balance," Journal of the American Planning Association, Taylor & Francis Journals, vol. 86(3), pages 324-338, July.
    3. Jie Chen & Aiyong Zhu, 2009. "The Relationship between Housing Wealth, Financial Wealth and Household Consumption in China," ERES eres2009_276, European Real Estate Society (ERES).
    4. Chenghua Jin & Mack Joong Choi, 2019. "The causal structure of land finance, commercial housing, and social housing in China," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 23(2), pages 286-299, April.
    5. Maarten Ham & Masaya Uesugi & Tiit Tammaru & David Manley & Heleen Janssen, 2020. "Changing occupational structures and residential segregation in New York, London and Tokyo," Nature Human Behaviour, Nature, vol. 4(11), pages 1124-1134, November.
    6. Elena G. Irwin, 2010. "New Directions For Urban Economic Models Of Land Use Change: Incorporating Spatial Dynamics And Heterogeneity," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 65-91, February.
    7. Youqin Huang & Leiwen Jiang, 2009. "Housing Inequality in Transitional Beijing," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 33(4), pages 936-956, December.
    8. Jie Chen & Feng Guo & Aiyong Zhu, 2009. "Housing Wealth, Financial Wealth and Consumption in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 17(3), pages 57-74, May.
    9. Basu, Sabyasachi & Thibodeau, Thomas G, 1998. "Analysis of Spatial Autocorrelation in House Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 61-85, July.
    10. repec:arz:wpaper:eres2009-276 is not listed on IDEAS
    11. Lazzarini, Luca, 2018. "The role of planning in shaping better urban-rural relationships in Bristol City Region," Land Use Policy, Elsevier, vol. 71(C), pages 311-319.
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