Authors:
- 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
Part of the book series: Strategies for Sustainability (STSU)
Part of the book sub series: Spatial Planning and Sustainable Development (SPPSDE)
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Table of contents (10 chapters)
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Front Matter
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Understanding the Elements of a Site to Better Design Sites
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Front Matter
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Learning from Other Cases to Better Design Sites
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Front Matter
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Embracing Advanced Technologies and Transitioning of Cities into Better Designed Sites
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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School of Architecture and Hang Lung Center for Real Estate, Key Laboratory of Eco Planning & Green Building by Ministry of Education, Tsinghua University, Beijing, China
Ying Long
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School of Architecture, Tsinghua University, Beijing, China
Enjia Zhang
About the authors
Enjia Zhang is a research fellow of Beijing City Lab and is in the second year of her PhD in Urban and Rural Planning at Tsinghua University. Her research focuses on data augmented design and quantitative urban studies, with emphasis on the application of data science in urban planning and design.
Bibliographic Information
Book Title: Data Augmented Design
Book Subtitle: Embracing New Data for Sustainable Urban Planning and Design
Authors: Ying Long, Enjia Zhang
Series Title: Strategies for Sustainability
DOI: https://doi.org/10.1007/978-3-030-49618-0
Publisher: Springer Cham
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-49617-3Published: 14 August 2020
Softcover ISBN: 978-3-030-49620-3Published: 15 August 2021
eBook ISBN: 978-3-030-49618-0Published: 13 August 2020
Series ISSN: 2212-5450
Series E-ISSN: 2452-1582
Edition Number: 1
Number of Pages: XXIII, 242
Number of Illustrations: 13 b/w illustrations, 136 illustrations in colour
Topics: Big Data, Urban Geography / Urbanism (inc. megacities, cities, towns), Computer-Aided Engineering (CAD, CAE) and Design, Sustainable Development