Print Email Facebook Twitter Data-supported Design in Architecture and Urbanism Title Data-supported Design in Architecture and Urbanism: The Use of Geospatial Data for Transport Node Design Author Veloso e Zárate, H. (TU Delft Building Knowledge) Contributor Cavallo, Roberto (editor) Alkan, Alper Semih (editor) Kuijper, Joran (editor) Date 2023 Abstract For the past three decades, the shift toward digitization propelled the implementation of data-supported design into contemporary practices and research in Architecture and Urbanism. The growing availability of data and broader accessibility to software and skills are introduced to designers and city makers as enablers of sustainable design solutions, aiming to address the global challenges of rapid urban growth and climate change. This brings an opportunity to explore the use of a specific type of data – geospatial data – in design methods. This paper focuses on understanding the relationship between the process of digitization and the use of data to support design in Architecture and Urbanism, through a literature review and case study. Adopting transport nodes as a type of project for the investigation of such methods, the paper brings in the case of the Sustainable Los Angeles 2050 project to explore how the use of geospatial data can influence the design of transport nodes. Subject Data-supported designArchitectureUrbanismComplex projectsArchitecture & urbanism To reference this document use: http://resolver.tudelft.nl/uuid:2712da7e-255e-42a8-81e9-65e536c498bf Publisher TU Delft OPEN, Delft ISBN 978-94-6366-660-2 Source CA2RE+ Delft Recommendation: Conference for Artistic and Architectural Research & Collective Evaluation of Design-driven Doctoral Training Programme Event CA2RE+ Recommendation, 2022-03-28 → 2022-04-01, TU Delft, Delft, Netherlands Part of collection Institutional Repository Document type conference paper Rights © 2023 H. Veloso e Zárate Files PDF Data-supported_Design_in_ ... Design.pdf 980.63 KB Close viewer /islandora/object/uuid:2712da7e-255e-42a8-81e9-65e536c498bf/datastream/OBJ/view