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Data Augmented Design: Embracing New Data for Sustainable Urban Planning and Design

-15% su kodu: ENG15
230,37 
Įprasta kaina: 271,02 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
230,37 
Įprasta kaina: 271,02 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
2025-02-28 271.0200 InStock
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Knygos aprašymas

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.¿

Informacija

Autorius: Enjia Zhang, Ying Long,
Leidėjas: Springer Nature Switzerland
Išleidimo metai: 2020
Knygos puslapių skaičius: 268
ISBN-10: 3030496171
ISBN-13: 9783030496173
Formatas: 241 x 160 x 20 mm. Knyga kietu viršeliu
Kalba: Anglų

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