LEADER 03633nam 22006135 450 001 9910483345903321 005 20200813143036.0 010 $a3-030-49618-X 024 7 $a10.1007/978-3-030-49618-0 035 $a(CKB)4100000011384234 035 $a(DE-He213)978-3-030-49618-0 035 $a(MiAaPQ)EBC6301427 035 $a(PPN)250215594 035 $a(EXLCZ)994100000011384234 100 $a20200813d2021 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aData Augmented Design $eEmbracing New Data for Sustainable Urban Planning and Design /$fby Ying Long, Enjia Zhang 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (XXIII, 242 p. 149 illus., 136 illus. in color.) 225 1 $aSpatial Planning and Sustainable Development,$x2522-8463 311 $a3-030-49617-1 330 $aThis book offers an essential introduction to a new urban planning and design methodology called Data Augmented Design (DAD) and its evolution and progresses, highlighting data driven methods, urban planning and design applications and related theories. The authors draw on many kinds of data, including big, open, and conventional data, and discuss cutting-edge technologies that illustrate DAD as a future-oriented design framework in terms of its focus on multi-data, multi-method, multi-stage and multi-scale sustainable urban planning. In four sections and ten chapters, the book presents case studies to address the core concepts of DAD, the first type of applications of DAD that emerged in redevelopment-oriented planning and design, the second type committed to the planning and design for urban expansion, and the future-oriented applications of DAD to advance sustainable technologies and the future structural form of the built environment. The book is geared towards a broad readership, ranging from researchers and students of urban planning, urban design, urban geography, urban economics, and urban sociology, to practitioners in the areas of urban planning and design. 410 0$aSpatial Planning and Sustainable Development,$x2522-8463 606 $aBig data 606 $aUrban geography 606 $aComputer-aided engineering 606 $aSustainable development 606 $aBig Data$3https://scigraph.springernature.com/ontologies/product-market-codes/I29120 606 $aUrban Geography / Urbanism (inc. megacities, cities, towns)$3https://scigraph.springernature.com/ontologies/product-market-codes/J15010 606 $aComputer-Aided Engineering (CAD, CAE) and Design$3https://scigraph.springernature.com/ontologies/product-market-codes/I23044 606 $aSustainable Development$3https://scigraph.springernature.com/ontologies/product-market-codes/U34000 615 0$aBig data. 615 0$aUrban geography. 615 0$aComputer-aided engineering. 615 0$aSustainable development. 615 14$aBig Data. 615 24$aUrban Geography / Urbanism (inc. megacities, cities, towns). 615 24$aComputer-Aided Engineering (CAD, CAE) and Design. 615 24$aSustainable Development. 676 $a307.12160285 700 $aLong$b Ying$4aut$4http://id.loc.gov/vocabulary/relators/aut$01075617 702 $aZhang$b Enjia$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483345903321 996 $aData Augmented Design$92850356 997 $aUNINA