Data Augmented Design: Embracing New Data for Sustainable Urban Planning and Design by Ying LongEnglish | EPUB | 2021 | 251 Pages | ISBN : 3030496171 | 81.6 MB
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.
