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August 7, 2024

Study on the demand forecasting for urban underground space and the delineation of priority construction zones: taking the main urban area of D city as an example

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Authors

ZSZheng ShenTechnical University of MunichZYZheng YuanChina Academy of Chinese Medical Sciences

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Implication

Analysis explores forecasting methods for underground space demand, guiding urban planning initiatives.

Key Points

  • Demand forecasting identifies priority construction zones for urban underground space development, enhancing targeted planning.
  • Key metrics involve multiple demand forecasting methods and underground resource assessment to inform decisions.
  • Analysis based on functional coupling theory forms a multi-factor assessment model for space demand evaluation and zoning priorities across urban regions.  The approach supports smart planning initiatives but requires real-world application validation; results pending.

Cite This Study

Shen et al. (2024) studied this question.

synapsesocial.com/papers/68e5d346b6db643587568f96https://doi.org/10.1117/12.3034818
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