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Data Augmented Design

von Enjia Zhang und Ying Long
Hardcover - 9783030496173
171,19 €
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Softcover - 9783030496203
171,19 €

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Weitere Formate

Softcover - 9783030496203
171,19 €

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.

    

Embracing New Data for Sustainable Urban Planning and Design

Embracing New Data for Sustainable Urban Planning and Design

Details

Verlag Springer International Publishing
Ersterscheinung 14. August 2020
Maße 23.5 cm x 15.5 cm
Gewicht 619 Gramm
Format Hardcover
ISBN-13 9783030496173
Seiten 242

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