Ying Long Enjia Zhang Long Data Augmented Design

Data Augmented Design

von Ying Long Enjia Zhang

Embracing New Data for Sustainable Urban Planning and Design

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Beschreibung

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.

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.

    
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

Autor*in

Ying Long

Themen in »Data Augmented Design«

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

Stimmen zu »Data Augmented Design«

Details

ISBN: 9783030496173
Verlag: Springer International Publishing
Erscheinung: 14.08.2020

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