应对数据挑战,推动智慧城市转型

IF 7.2 4区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Ekaterina Gilman, Francesca Bugiotti, Ahmed Khalid, Hassan Mehmood, Panos Kostakos, Lauri Tuovinen, Johanna Ylipulli, Xiang Su, Denzil Ferreira
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引用次数: 0

摘要

城市是经济活动、知识创造和传播的重要枢纽。因此,城市在促进居民福利和生活舒适度的同时,也承担着维护环境保护措施的重要责任。关于智慧城市的发展,从将信息和通信技术融入城市环境以做出更好的运营决策,到支持可持续发展、创造财富和提高人们的生活舒适度,存在着各种不同的观点。然而,在所有这些情况下,数据都是实现智慧城市愿景的关键要素和推动因素。本文探讨了与智慧城市数据相关的挑战。我们首先要了解智慧城市的概念,如何衡量城市是否是智慧城市,以及开发智慧城市有哪些架构和平台。然后,我们研究与城市数据相关的挑战,包括可用性、异构性、管理、分析、隐私和安全。最后,我们讨论了伦理问题。本文旨在提供 "一站式服务",涵盖与智慧城市数据相关的问题,并为深入探讨感兴趣的特定主题提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Addressing Data Challenges to Drive the Transformation of Smart Cities

Cities serve as vital hubs of economic activity and knowledge generation and dissemination. As such, cities bear a significant responsibility to uphold environmental protection measures while promoting the welfare and living comfort of their residents. There are diverse views on the development of smart cities, from integrating Information and Communication Technologies into urban environments for better operational decisions to supporting sustainability, wealth, and comfort of people. However, for all these cases, data is the key ingredient and enabler for the vision and realization of smart cities. This article explores the challenges associated with smart city data. We start with gaining an understanding of the concept of a smart city, how to measure that the city is a smart one, and what architectures and platforms exist to develop one. Afterwards, we research the challenges associated with the data of the cities, including availability, heterogeneity, management, analysis, privacy, and security. Finally, we discuss ethical issues. This article aims to serve as a “one-stop shop” covering data-related issues of smart cities with references for diving deeper into particular topics of interest.

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来源期刊
ACM Transactions on Intelligent Systems and Technology
ACM Transactions on Intelligent Systems and Technology COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, INFORMATION SYSTEMS
CiteScore
9.30
自引率
2.00%
发文量
131
期刊介绍: ACM Transactions on Intelligent Systems and Technology is a scholarly journal that publishes the highest quality papers on intelligent systems, applicable algorithms and technology with a multi-disciplinary perspective. An intelligent system is one that uses artificial intelligence (AI) techniques to offer important services (e.g., as a component of a larger system) to allow integrated systems to perceive, reason, learn, and act intelligently in the real world. ACM TIST is published quarterly (six issues a year). Each issue has 8-11 regular papers, with around 20 published journal pages or 10,000 words per paper. Additional references, proofs, graphs or detailed experiment results can be submitted as a separate appendix, while excessively lengthy papers will be rejected automatically. Authors can include online-only appendices for additional content of their published papers and are encouraged to share their code and/or data with other readers.
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