The use of digital technologies and the application of data to inform design decisions has been in practice for many decades in the field of engineering. In Architecture and Urbanism, its use has only recently been incorporated in workflows [1-3]. In the new millennium, designers embrace projects with multi-faceted design agendas, incorporating environmental, economic and social dimensions. A data-supported approach to design is seen as an enabler for sustainable solutions. Even though there lacks a single definition of what is “data” in Architecture and Urbanism, there is consensus that it should serve as creative material for the design process, have a spatial component, be machine-readable  and help designers achieve a certain intent or disciplinary agenda. This research aims to explore is the role of urban data in the project analysis phase, for strategic transport node development when dealing with an urban regeneration task.
Keywords: Data-supported Design, Architecture & Urbanism, Complex Projects