What are Essential requirements in Planning for Future Cities using Open Data Infrastructures and 3D Data Models?

Major urban renewal programs including higher density and infill developments are being planned in brownfield and greyfield areas of the cities. These have increased the challenges in urban planning and management tasks. To address the challenges multi-dimensional and multi-spatial data is required to support city planners and policy-makers. There have been substantial improvements in developing and sharing the spatial data infrastructure. Moreover, the extended semantic capacity in 3D data models enables innovations in multi-dimensional urban planning and design. However, using these technologies to identify semantic relationships between objects, in diverse spaces and dimensions, enabling the stakeholders to evaluate future plans utilizing extra/open data sources is not yet possible. This study intends to develop a generic framework supporting a multispatial and multi-dimensional planning data model. The study examines the existing Australian Urban Research Infrastructure Network (AURIN) e-infrastructure to indicate the extent in which the formulated framework can improve spatial planning tasks. _______________________________________________________ S. Sabri (Corresponding author) • M. Kalantari, A. Rajabifard, O. Lade, T. Ngo, Department of Infrastructure Engineering, the University of Melbourne, Parkvill VIC 3010, Australia Email: [email protected] [email protected] [email protected] [email protected]; [email protected] C.J. Pettit, M. White Faculty of Architecture, Building and Planning, the University of Melbourne, Parkvill VIC 3010, Australia Email: [email protected] Email: [email protected] CUPUM 2015 314-Paper