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Study on Low-Carbon Construction System of Desakota Village-and-Town Communities: Take Zhejiang Province as an Example

Author

Listed:
  • Xiaoqing Zhu

    (School of Design and Architecture, Zhejiang University of Technology, Hangzhou 310023, China)

  • Yuebin Zhong

    (School of Design and Architecture, Zhejiang University of Technology, Hangzhou 310023, China)

  • Zhixing Li

    (School of Design and Architecture, Zhejiang University of Technology, Hangzhou 310023, China)

  • Hanyuan Shi

    (School of Design and Architecture, Zhejiang University of Technology, Hangzhou 310023, China)

  • Bin Shi

    (School of Design and Architecture, Zhejiang University of Technology, Hangzhou 310023, China)

Abstract

In the context of urbanization, desakota villages and towns, which feature mixed land utilization, a diversified industrial structure, and “half-city and half-town”, have gradually come into being and play a big part in impacting the development of towns and villages. As the top-down policy guidance and control play a minor role, and the bottom-up construction runs out of control, various human settlement problems, such as the waste of land resources, low energy efficiency, high carbonization, and disappearing ecological livability, stand out. The core problems confronting China in the next phase concern the rational utilization of village resources and the guidance for and control over the low-carbon development of villages and towns in the future. Based on the demand for the low-carbon development of the human settlements in desakota villages and towns, the analyzed points in this article include the correlation between the carbon emission intensity and the spatial form characteristics and other related elements in Zhejiang Province. The low-carbon construction of the desakota village-and-town communities is transformed into the spatial form structure in order to gain a better understanding of the low-carbon control elements. A correlation evaluation model is established to provide the basis for the optimization and improvement of a low-carbon construction system from multiple dimensions and perspectives, thus providing a theoretical basis and practical guidance for the future low-carbon construction of desakota villages and towns.

Suggested Citation

  • Xiaoqing Zhu & Yuebin Zhong & Zhixing Li & Hanyuan Shi & Bin Shi, 2022. "Study on Low-Carbon Construction System of Desakota Village-and-Town Communities: Take Zhejiang Province as an Example," Sustainability, MDPI, vol. 14(18), pages 1-31, September.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:18:p:11525-:d:914698
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    References listed on IDEAS

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    1. Glaeser, Edward L. & Kahn, Matthew E., 2010. "The greenness of cities: Carbon dioxide emissions and urban development," Journal of Urban Economics, Elsevier, vol. 67(3), pages 404-418, May.
    2. Bagley, Michael N & Mokhtarian, Patricia L, 2001. "The impact of residential neighborhood type on travel behavior: A structural equations modeling approach," University of California Transportation Center, Working Papers qt12q634n2, University of California Transportation Center.
    3. Kennedy, Christopher & Steinberger, Julia & Gasson, Barrie & Hansen, Yvonne & Hillman, Timothy & Havránek, Miroslav & Pataki, Diane & Phdungsilp, Aumnad & Ramaswami, Anu & Mendez, Gara Villalba, 2010. "Methodology for inventorying greenhouse gas emissions from global cities," Energy Policy, Elsevier, vol. 38(9), pages 4828-4837, September.
    4. Patricia L. Mokhtarian & Michael N. Bagley, 2002. "The impact of residential neighborhood type on travel behavior: A structural equations modeling approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 36(2), pages 279-297.
    5. Wang, Shaojian & Xie, Zihan & Wu, Rong & Feng, Kuishang, 2022. "How does urbanization affect the carbon intensity of human well-being? A global assessment," Applied Energy, Elsevier, vol. 312(C).
    6. Tang, Feng & Wang, Li & Guo, Yiqiang & Fu, Meichen & Huang, Ni & Duan, Wensheng & Luo, Ming & Zhang, Jianjun & Li, Wang & Song, Wei, 2022. "Spatio-temporal variation and coupling coordination relationship between urbanisation and habitat quality in the Grand Canal, China," Land Use Policy, Elsevier, vol. 117(C).
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    Cited by:

    1. Zhixing Li & Xin He & Zhuojun Ding & Md. Mehrab Hossain & Md. Tanvir Rahman Rifat & Md. Habibur Rahman Sobuz & Yafei Zhao, 2024. "Analysis of influencing factors for housing construction technology in Desakota Village and town communities in China," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-17, December.

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