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

"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,...

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Bibliographic Details
Main Authors: Long, Ying (Author), Zhang, Enjia (Author)
Format: Ebook
Language:English
Published: Cham, Switzerland : Springer, [2021]
Series:Strategies for sustainability. Spatial planning and sustainable development.
Subjects:
Online Access:Springer eBooks
Table of Contents:
  • Overview:
  • Cities in Transition
  • Data Augmented Design (DAD): Definitions, Dimensions, Performance, and Applications
  • Human-scale Urban Form and Its Application in DAD
  • Understanding the Elements of a Site to Better Design Sites:
  • Data Adaptive Urban Design: A Case Study of Shanghai Hengfu Historical District
  • Multidimensional Data-Based City Images: Cultural Reactivation of Waterfront Industrial Heritage Design in Shanghai
  • Fine-Scale Recognition-Based Design Guidelines for Dealing with Shrinking Cities: A Case Study of Hegang
  • Learning from Other Cases to Better Design Sites:
  • Quantifying Urban Form as a Case Study in Expansion-Oriented Design: Design Practices in the Tongzhou Subcenter
  • Defining the Density of the Xiong’an New Area Based on Global Experience
  • Embracing Advanced Technologies and Transitioning of Cities into Better Designed Sites:
  • The Next Form of Human Settlement: A Design for Future Yilong City
  • The Future of the Smart Island: A Design for a Natural and Technological Experience District on Huangguan Island.
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