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Data augmented design = embracing ne...

Long, Ying.

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Data augmented design = embracing new data for sustainable urban planning and design /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data augmented design/ by Ying Long, Enjia Zhang.
Reminder of title:	embracing new data for sustainable urban planning and design /
Author:	Long, Ying.
other author:	Zhang, Enjia.
Published:	Cham :Springer International Publishing : : 2021.,
Description:	xxiii, 242 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	City planning - Data processing. -
Online resource:	https://doi.org/10.1007/978-3-030-49618-0
ISBN:	9783030496180

Data augmented design = embracing new data for sustainable urban planning and design /
Long, Ying.

Data augmented designembracing new data for sustainable urban planning and design /[electronic resource] :by Ying Long, Enjia Zhang. - Cham :Springer International Publishing :2021. - xxiii, 242 p. :ill., digital ;24 cm. - Strategies for sustainability, Spatial planning and sustainable development,2522-8463. - Strategies for sustainability.Spatial planning and sustainable development..

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.

ISBN: 9783030496180

Standard No.: 10.1007/978-3-030-49618-0doiSubjects--Topical Terms:

545650
City planning
--Data processing.

LC Class. No.: HT166 / .L65 2021

Dewey Class. No.: 307.1216

Data augmented design = embracing new data for sustainable urban planning and design /
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245 1 0 $a Data augmented design $h [electronic resource] : $b embracing new data for sustainable urban planning and design / $c by Ying Long, Enjia Zhang.
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490 1 $a Strategies for sustainability, Spatial planning and sustainable development, $x 2522-8463
520 $a 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.
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