Abstract Big data analytics and artificial intelligence, paired with blockchain technology, the Internet of Things, and other emerging technologies, are poised to revolutionise urban management. With massive amounts of data collected from citizens, devices, and traditional sources such as routine and well-established censuses, urban areas across the world have – for the first time in history – the opportunity to monitor and manage their urban infrastructure in real-time. This simultaneously provides previously unimaginable opportunities to shape the future of cities, but also gives rise to new ethical challenges. This paper provides a transdisciplinary synthesis of the developments, opportunities, and challenges for urban management and planning under this ongoing ‘digital revolution’ to provide a reference point for the largely fragmented research efforts and policy practice in this area. We consider both top-down systems engineering approaches and the bottom-up emergent approaches to coordination of different systems and functions, their implications for the existing physical and institutional constraints on the built environment and various planning practices, as well as the social and ethical considerations associated with this transformation from non-digital urban management to data-driven urban management.

中文翻译：

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数据驱动的城市管理：绘制景观图

摘要 大数据分析和人工智能，与区块链技术、物联网等新兴技术相结合，有望彻底改变城市管理。通过从公民、设备和传统来源（例如常规和完善的人口普查）收集的大量数据，世界各地的城市地区有史以来第一次有机会实时监控和管理其城市基础设施. 这同时提供了以前难以想象的机会来塑造城市的未来，但也带来了新的道德挑战。本文提供了发展、机会、以及在这场正在进行的“数字革命”下城市管理和规划面临的挑战，为该领域大量分散的研究工作和政策实践提供参考点。我们考虑自上而下的系统工程方法和自下而上的紧急方法来协调不同的系统和功能，它们对建筑环境和各种规划实践的现有物理和制度约束的影响，以及社会和伦理考虑与这种从非数字化城市管理到数据驱动型城市管理的转变有关。