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Data Augmented Design

Embracing New Data for Sustainable Urban Planning and Design

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  • Offers an introduction to a new urban planning and design methodology called Data Augmented Design (DAD)

  • Highlights transitioning city space, data driven methods, and urban planning and design applications of DAD

  • Presents case studies for a readership of students and practitioners in urban planning and design

Part of the book series: Strategies for Sustainability (STSU)

Part of the book sub series: Spatial Planning and Sustainable Development (SPPSDE)

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eBook
USD 139.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-49618-0
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD 179.99
Price excludes VAT (USA)
Hardcover Book
USD 179.99
Price excludes VAT (USA)

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xxiii
  2. Overview

    1. Front Matter

      Pages 1-1
    2. Cities in Transition

      • Ying Long, Enjia Zhang
      Pages 3-13
    3. Human-scale Urban Form and Its Application in DAD

      • Ying Long, Enjia Zhang
      Pages 35-47
  3. Learning from Other Cases to Better Design Sites

    1. Front Matter

      Pages 107-107
  4. Embracing Advanced Technologies and Transitioning of Cities into Better Designed Sites

    1. Front Matter

      Pages 141-141
  5. Back Matter

    Pages 187-242

About this book

This book offers an essential introduction to a new urban planning and design methodology called Data Augmented Design (DAD) and its evolution and progresses, highlighting data driven methods, urban planning and design applications and related theories. The authors draw on many kinds of data, including big, open, and conventional data, and discuss cutting-edge technologies that illustrate DAD as a future-oriented design framework in terms of its focus on multi-data, multi-method, multi-stage and multi-scale sustainable urban planning. In four sections and ten chapters, the book presents case studies to address the core concepts of DAD, the first type of applications of DAD that emerged in redevelopment-oriented planning and design, the second type committed to the planning and design for urban expansion, and the future-oriented applications of DAD to advance sustainable technologies and the future structural form of the built environment. The book is geared towards a broad readership, ranging from researchers and students of urban planning, urban design, urban geography, urban economics, and urban sociology, to practitioners in the areas of urban planning and design.​

Keywords

  • Data augmented design
  • Sustainable urban planning
  • Big data
  • Human-scale urban form
  • The smart ‘O’
  • Self-healing city design
  • urban geography and urbanism

Authors and Affiliations

  • School of Architecture and Hang Lung Center for Real Estate, Key Laboratory of Eco Planning & Green Building by Ministry of Education, Tsinghua University, Beijing, China

    Ying Long

  • School of Architecture, Tsinghua University, Beijing, China

    Enjia Zhang

About the authors

Ying Long, Ph.D. is now working in the School of Architecture, Tsinghua University, China as a research professor. His research focuses urban science, including applied urban modeling, urban big data analytics & visualization, quantitative urban studies, planning support systems, data augmented design and future cities. He has an education background in both environmental engineering and city planning. Before joining Tsinghua University, he has worked for Beijing Institute of City Planning as a senior planner for eleven years. Familiar with planning practices in China and versed in international literature, Dr. Long’s academic studies creatively integrate international methods and experiences with local planning practices. He has published almost two hundred papers and led over twenty research/planning projects. His funded projects range from international organizations like World Bank, World Health Organization, World Resource Institute and NRDC, and Wellcome Trust, internet companies like Alibaba, Baidu, Jingdong, Tencent, Didi, Mobike and Gudong, local governments like Beijing, Chengdu, Qingdao, Hefei, Zunyi, Rongcheng and Laizhou, to central governments like NDRC and MOHURD, and the NSFC. Dr. Long is also the founder of Beijing City Lab (BCL www.beijingcitylab.com), an open research network for quantitative urban studies. More information is available at http://www.beijingcitylab.com/longy.
 Enjia Zhang is a research fellow of Beijing City Lab and is in the second year of her PhD in Urban and Rural Planning at Tsinghua University. Her research focuses on data augmented design and quantitative urban studies, with emphasis on the application of data science in urban planning and design.

Bibliographic Information

Buying options

eBook
USD 139.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-49618-0
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD 179.99
Price excludes VAT (USA)
Hardcover Book
USD 179.99
Price excludes VAT (USA)