数字孪生城市:应对城市复杂巨系统挑战的必然路径
摘要
安排共同构成的开放复杂巨系统。随着城市化持续推进,城市治理同时面临三维空间认知不足、跨部门数据割裂、
运行状态快速变化、突发风险难以推演以及多主体行为难以协调等问题。本文在核查并修正文献依据的基础上,分
析传统治理的局限,认为数字孪生城市并非单纯三维可视化平台,而是以统一时空底座、实时感知、仿真推演和协
同决策为核心的城市治理基础设施。其关键任务在于解决“全面认知难”“高效计算难”和“统合实训难”:前者要
求对城市实体、事件和关系进行可信数字化;中者要求对大规模三维场景和动态过程进行低时延、高保真的计算;
后者要求构建与真实城市环境耦合的多主体仿真和策略评估机制。数字孪生城市只有在数据治理、模型可信、算力
支撑和制度协同同步推进的条件下,才能真正服务于城市治理现代化。
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[1]Qian, X., Yu, J., & Dai, R. (1993). A new discipline
of science: The study of open complex giant system and its
methodology. Chinese Journal of Systems Engineering and
Electronics, 4(2), 2-12.
[2]Batty, M. (2013). The New Science of Cities. MIT
Press.
[3]United Nations, Department of Economic and Social
Affairs, Population Division. (2019). World Urbanization
Prospects: The 2018 Revision. United Nations.
[4]Grieves, M. (2014). Digital Twin: ManufacturingExcellence through Virtual Factory Replication. White Paper.
[5]Li, D., Yu, W., & Shao, Z. (2021). Smart city
based on digital twins. Computational Urban Science, 1, 4.
doi:10.1007/s43762-021-00005-y
[6]Deng, T., Zhang, K., & Shen, Z.-J. (Max). (2021).
A systematic review of a digital twin city: A new pattern of
urban governance toward smart cities. Journal of Management
Science and Engineering, 6(2), 125-134. doi:10.1016/
j.jmse.2021.03.003
[7]World Economic Forum, & China Academy of
Information and Communications Technology. (2022).
Digital Twin Cities: Framework and Global Practices. World
Economic Forum.
[8]Shannon, C. E. (1949). Communication in the
presence of noise. Proceedings of the IRE, 37(1), 10-21.
doi:10.1109/JRPROC.1949.232969
[9]Biljecki, F., Stoter, J., Ledoux, H., Zlatanova, S., &
Çöltekin, A. (2015). Applications of 3D city models: State
of the art review. ISPRS International Journal of GeoInformation, 4(4), 2842-2889. doi:10.3390/ijgi4042842
[10]Gil-Garcia, J. R., Chun, S. A., & Janssen, M. (2009).
Government information sharing and integration: Combining
the social and the technical. Information Polity, 14(1/2), 1-10.
doi:10.3233/IP-2009-0176
[11]Kitchin, R. (2014). The real-time city? Big data
and smart urbanism. GeoJournal, 79(1), 1-14. doi:10.1007/
s10708-013-9516-8
[12]Jennings, N. R., Sycara, K., & Wooldridge, M.
(1998). A roadmap of agent research and development.
Autonomous Agents and Multi-Agent Systems, 1, 7-38.
doi:10.1023/A:1010090405266
[13]Wooldridge, M. (2009). An Introduction to
MultiAgent Systems (2nd ed.). John Wiley & Sons.
[14]Chu, T., Wang, J., Codeca, L., & Li, Z. (2019).
Multi-agent deep reinforcement learning for large-scale
traffic signal control. IEEE Transactions on Intelligent
Transportation Systems, 21(3), 1086-1095. doi:10.1109/
TITS.2019.2901791
[15]Helbing, D., Farkas, I., & Vicsek, T. (2000).
Simulating dynamical features of escape panic. Nature, 407,
487-490. doi:10.1038/35035023
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