Data Augmented Design

Data Augmented Design
Author: Ying Long
Publisher: Springer Nature
Total Pages: 242
Release: 2020-08-13
Genre: Computers
ISBN: 303049618X


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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.​


Data Augmented Design
Language: en
Pages: 242
Authors: Ying Long
Categories: Computers
Type: BOOK - Published: 2020-08-13 - Publisher: Springer Nature

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This book offers an essential introduction to a new urban planning and design methodology called Data Augmented Design (DAD) and its evolution and progresses, h
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This study delivers insights on which external sources – e.g. website click behavior, surveys, or social media data – can and cannot be used for data augmen
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Data, Matter, Design
Language: en
Pages: 338
Authors: Frank Melendez
Categories: Architecture
Type: BOOK - Published: 2020-09-29 - Publisher: Routledge

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Data, Matter, Design presents a comprehensive overview of current design processes that rely on the input of data and use of computational design strategies, an