Big data analysis under deep uncertainty in smart city planning: a new framework

Cong Wang; Yang Lin

doi:10.1117/12.3026945

8 April 2024 Big data analysis under deep uncertainty in smart city planning: a new framework

Cong Wang, Yang Lin

Proceedings Volume 13090, International Conference on Computer Application and Information Security (ICCAIS 2023); 1309031 (2024) https://doi.org/10.1117/12.3026945
Event: International Conference on Computer Application and Information Security (ICCAIS 2023), 2023, Wuhan, China

Abstract

With the acceleration of the great changes which have not occurred in the world for a century, global uncertainty continues to increase, and profoundly affects the development of smart cities. Facing various uncertainties in the future, the theoretical system and methodology of China’s smart city planning need to be improved and transformed urgently. It is necessary to go beyond the simple and complex paradigms, to gain a deeper understanding of deep uncertainty issues, and to develop new analytical tools. We provide a new framework to the open problem, trying to the smart city adaptive in the deep uncertainty environment.

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

Citation Download Citation

Cong Wang and Yang Lin "Big data analysis under deep uncertainty in smart city planning: a new framework", Proc. SPIE 13090, International Conference on Computer Application and Information Security (ICCAIS 2023), 1309031 (8 April 2024); https://doi.org/10.1117/12.3026945

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