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

Shen Zheng; Yuan Zheng

doi:10.1117/12.3034818

7 August 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

Shen Zheng, Yuan Zheng

Author Affiliations +

Proceedings Volume 13224, 4th International Conference on Internet of Things and Smart City (IoTSC 2024); 132242E (2024) https://doi.org/10.1117/12.3034818
Event: 4th International Conference on Internet of Things and Smart City, 2024, Hangzhou, China

Abstract

This paper analyses and summarizes a variety of underground space demand forecasting methods, and selects an appropriate underground space demand scale based on the calculation of multiple methods and the results of underground space resource assessment. Based on the functional coupling theory, a multi-factor demand assessment model is established to delineate the priority construction zones of underground space; it promotes the practice of the basic technology of smart planning, and facilitates the realization of the goal of smart planning for urban underground space.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Shen Zheng and Yuan Zheng "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", Proc. SPIE 13224, 4th International Conference on Internet of Things and Smart City (IoTSC 2024), 132242E (7 August 2024); https://doi.org/10.1117/12.3034818

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