Data Augmented Design : Embracing New Data for Sustainable Urban Planning and Design / / by Ying Long, Enjia Zhang
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| Autore: |
Long Ying
|
| Titolo: |
Data Augmented Design : Embracing New Data for Sustainable Urban Planning and Design / / by Ying Long, Enjia Zhang
|
| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Edizione: | 1st ed. 2021. |
| Descrizione fisica: | 1 online resource (XXIII, 242 p. 149 illus., 136 illus. in color.) |
| Disciplina: | 307.12160285 |
| Soggetto topico: | Big data |
| Urban geography | |
| Computer-aided engineering | |
| Sustainable development | |
| Big Data | |
| Urban Geography / Urbanism (inc. megacities, cities, towns) | |
| Computer-Aided Engineering (CAD, CAE) and Design | |
| Sustainable Development | |
| Persona (resp. second.): | ZhangEnjia |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Data Augmented Design |
| ISBN: | 3-030-49618-X |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910483345903321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Spatial Planning and Sustainable Development, . 2522-8463