Data Augmented Design

Data Augmented Design

EnglishHardbackPrint on demand
Long Ying
Springer, Berlin
EAN: 9783030496173
Print on demand
Delivery on Friday, 28. of August 2026
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Detailed information

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 isgeared 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.​

    
EAN 9783030496173
ISBN 3030496171
Binding Hardback
Publisher Springer, Berlin
Publication date August 14, 2020
Pages 242
Language English
Dimensions 235 x 155
Country Switzerland
Authors Long Ying; Zhang, Enjia
Illustrations 136 Illustrations, color; 13 Illustrations, black and white; XXIII, 242 p. 149 illus., 136 illus. in color.
Edition 2021 ed.
Series Strategies for Sustainability
Manufacturer information
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