The Use of a Data-Driven Digital Twin of a Smart City: A Case Study of Ålesund, Norway

被引：24

作者：

Major, Pierre ^{[1
]}

Li, Guoyuan ^{[2
]}

Hildre, Hans Petter ^{[3
,4
]}

Zhang, Houxiang ^{[5
]}

机构：

[1] AugmentCity, Res, Alesund, Norway

[2] Ship Intelligence, Suitland, MD USA

[3] Norwegian Univ Sci & Technol, Dept Ocean Operat & Civil Engn, Alesund, Norway

[4] Ctr Res Driven Innovat, Oslo, Norway

[5] Univ Hamburg, Fac Math Informat & Nat Sci, Dept Informat, Inst Tech Aspects Multimodal Syst, Hamburg, Germany

来源：

IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE | 2021年 / 24卷 / 07期

关键词：

Smart cities; Local government; Measurement uncertainty; Data visualization; Prototypes; Big Data; BIG DATA;

D O I：

10.1109/MIM.2021.9549127

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

One objective of smart cities is to produce smart decisions that will address sustainability and climate change through big data and citizen engagement. However, to achieve this, local governments must address two barriers to citizen engagement: concerns about data privacy and the difficulty big data poses to nonexperts. Big data by its nature produces a wide range of varying insights; however, it is difficult for nonexperts to understand the situations these insights describe, much less determine, and communicate priorities and solutions.

引用

页码：39 / 49

页数：11

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