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Evaluation of the Development Potential of Urban Underground Space Using Set Pair Analysis and the Comprehensive Weight Method

Author

Listed:
  • Qiuxiang Lin

    (School of Continuing Education, Wuhan Institute of Technology, Wuhan 430205, China)

  • Baoping Zou

    (School of Civil Engineering and Architecture, Zhejiang University of Science and Technology, Hangzhou 310023, China)

  • Yansheng Deng

    (School of Civil Engineering and Architecture, Zhejiang University of Science and Technology, Hangzhou 310023, China)

Abstract

Recently, a series of urban diseases have seriously impacted the development of large and medium cities. The development of urban underground space (UUS) is widely regarded as an effective solution. Due to the irreversibility of underground space resources, it is important to formulate scientific and reasonable development planning based on evaluation of the development potential of urban underground space (DPUUS). In this work, from the perspective of society, economy, and environment, an evaluation model of the DPUUS was established, and nine indexes were selected, including population density, vehicle possessive quantity per 100 capita, policy support, GDP per capita, GDP per km 2 , land price, geographical position, geological conditions, and natural disasters. The comprehensive weight method (CWM) combined with subjective and objective weights was used to determine the final weight of the evaluation index. Set pair analysis (SPA) and the credible degree recognition criterion (CDRC) were applied to determine the DPUUS grade of each city, which can provide a new idea for DPUUS.

Suggested Citation

  • Qiuxiang Lin & Baoping Zou & Yansheng Deng, 2023. "Evaluation of the Development Potential of Urban Underground Space Using Set Pair Analysis and the Comprehensive Weight Method," Sustainability, MDPI, vol. 15(7), pages 1-15, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:7:p:6255-:d:1116725
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    References listed on IDEAS

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    1. Hui Gu & Hongxia Zhu & Xiaobo Cui, 2021. "Multivariate State Estimation Technique Combined with Modified Information Entropy Weight Method for Steam Turbine Energy Efficiency Monitoring Study," Energies, MDPI, vol. 14(20), pages 1-18, October.
    2. Yuxin Zhu & Dazuo Tian & Feng Yan, 2020. "Effectiveness of Entropy Weight Method in Decision-Making," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-5, March.
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    Cited by:

    1. Yansheng Deng & Jun Chen & Baoping Zou & Qizhi Chen & Jingyuan Ma & Chenjie Shen, 2024. "Research on the Driving Factors and Prediction Model of Urban Underground Space Demand in China," Sustainability, MDPI, vol. 16(9), pages 1-14, April.

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