从城市建模到城市数字双胞胎--应用城市建模(AUM)研讨会的思考

IF 2.6 3区 经济学 Q2 ENVIRONMENTAL STUDIES Environment and Planning B: Urban Analytics and City Science Pub Date : 2024-08-30 DOI:10.1177/23998083241279601
Li Wan, Ying Jin, Marcial Echenique, Michael Batty, Michael Wegener
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引用次数: 0

摘要

城市数字孪生(CDTs)是城市系统和发展过程的数字复制品,被誉为城市规划和管理的下一代技术。可以说,CDT 的概念并不新鲜。在 CDT 之前,应用城市建模自 20 世纪 60 年代以来就一直在支持城市和基础设施规划方面发挥着关键作用。因此,将 CDT 与传统城市模型联系起来进行研究,可以为了解 CDT 的性质、潜力和挑战提供有价值的见解。然而,这种比较性、反思性的工作仍然很少见。本评论旨在分享专门的应用城市模型(AUM)社区的见解和反思。本文认为,要证实 CDT 的力量,理论驱动的建模策略对于实际政策分析和知识发现都至关重要。建模人员必须超越技术视角,探索 CDT 在优化之外的新用途。盲目追求数据而不借鉴和扩展现有的领域知识,仍然是 CDT 存在的风险。
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From urban modelling to city digital twins – Reflections from the applied urban modelling (AUM) symposia
City digital twins (CDTs), as digital replica of urban systems and development processes, have been heralded as the next-generation technology for urban planning and management. Arguably, the concept of CDTs is not new. Prior to CDTs, applied urban modelling has been playing a pivot role in supporting city and infrastructure planning since the 1960s. Examining CDTs in relation to conventional urban models can thus offer valuable insights into their nature, potential, and challenges. Such a comparative, reflective exercise, however, remains rare. This commentary aims to share insights and reflections from a dedicated applied urban modelling (AUM) community. It is argued that to substantiate the power of CDTs, a theory-driven modelling strategy is essential for both practical policy analysis and knowledge discovery. Modellers must think beyond the technical perspective and exploring novel use of CDTs beyond optimisation. A blind pursuit for data without building on and expanding existing domain knowledge remains an existential risk for CDTs.
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CiteScore
6.10
自引率
11.40%
发文量
159
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