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Critically Discuss Ways in Which Design and Technology Can Be Utilized to Improve the Climate Change Performance of UK Building in the Context of Big Data

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Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1303))

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Abstract

Design and technology has become an important driving force for the development of UK building. Data-assisted design is a combination of data, design and technology, which makes British architecture more dynamic. This paper focuses on the current situation of British architecture in the context of energy-saving and emission reduction. With the emergence of some newly designed methods and intelligent technology, it is worthwhile to explore how the design and technology of these can improve climate change in terms of the British building and discuss the relationship between the design, technology and performance of British building. In addition, digital design and modular design will be analyzed in this paper.

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Author information

Authors and Affiliations

  1. Brunel University London, London, UB8 2DE, UK

    Yonghao Zhu

Authors
  1. Yonghao Zhu
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Correspondence to Yonghao Zhu .

Editor information

Editors and Affiliations

  1. School of Computer Science, University of Oklahoma, Norman, OK, USA

    Mohammed Atiquzzaman

  2. University of Aizu, Fukushima, Japan

    Neil Yen

  3. Shanghai University of Medicine and Health Sciences, Shanghai, China

    Zheng Xu

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© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Zhu, Y. (2021). Critically Discuss Ways in Which Design and Technology Can Be Utilized to Improve the Climate Change Performance of UK Building in the Context of Big Data. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2020. Advances in Intelligent Systems and Computing, vol 1303. Springer, Singapore. https://doi.org/10.1007/978-981-33-4572-0_148

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  • DOI: https://doi.org/10.1007/978-981-33-4572-0_148

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-4573-7

  • Online ISBN: 978-981-33-4572-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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