Shi Wenzhong, Goodchild Michael, Batty Michael, Li Qingquan, Liu Xintao, Zhang Anshu
Otto Poon Charitable Foundation Smart Cities Research Institute and Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China.
University of California, Santa Barbara, Santa Barbara, USA.
Urban Inform. 2022;1(1):2. doi: 10.1007/s44212-022-00006-0. Epub 2022 Sep 9.
The specialization of different urban sectors, theories, and technologies and their confluence in city development have led to a greatly accelerated growth in urban informatics, the transdisciplinary field for understanding and developing the city through new information technologies. While this young and highly promising field has attracted multiple reviews of its advances and outlook for its future, it would be instructive to probe further into the research initiatives of this rapidly evolving field, to provide reference to the development of not only urban informatics, but moreover the future of cities as a whole. This article thus presents a collection of research initiatives for urban informatics, based on the reviews of the state of the art in this field. The initiatives cover three levels, namely the future of urban science; core enabling technologies including geospatial artificial intelligence, high-definition mapping, quantum computing, artificial intelligence and the internet of things (AIoT), digital twins, explainable artificial intelligence, distributed machine learning, privacy-preserving deep learning, and applications in urban design and planning, transport, location-based services, and the metaverse, together with a discussion of algorithmic and data-driven approaches. The article concludes with hopes for the future development of urban informatics and focusses on the balance between our ever-increasing reliance on technology and important societal concerns.
不同城市部门、理论和技术的专业化及其在城市发展中的融合，极大地加速了城市信息学的发展。城市信息学是一个跨学科领域，旨在通过新信息技术来理解和发展城市。尽管这个年轻且极具潜力的领域已经吸引了对其进展和未来展望的多次综述，但进一步深入探究这个快速发展领域的研究举措，不仅对城市信息学的发展，而且对整个城市的未来发展都具有指导意义。因此，本文基于对该领域现有技术水平的综述，呈现了一系列城市信息学的研究举措。这些举措涵盖三个层面，即城市科学的未来；核心支撑技术，包括地理空间人工智能、高清地图、量子计算、人工智能与物联网（AIoT）、数字孪生、可解释人工智能、分布式机器学习、隐私保护深度学习，以及在城市设计与规划、交通、基于位置的服务和元宇宙中的应用，并对算法和数据驱动方法进行了讨论。文章最后对城市信息学的未来发展寄予希望，并着重探讨了我们对技术日益增长的依赖与重要社会关切之间的平衡。
