A simulation-based design framework to iteratively analyze and shape urban landscapes using point cloud modeling

• DOI: 10.1016/j.compenvurbsys.2021.101731
• Publication Date: 2021-11-03T07:15:50Z
• Authors: Philipp R.W. Urech; Muhammad Omer Mughal; Carlos Bartesaghi...
• Keywords: Design process; Laser Scanning

The topic of this paper evolves on the discourse digital modeling in landscape design. Current design methods stagger to address physical forms and dynamics present environment. This status quo limits possibilities integrate scientific evidence when developing spatial aesthetic configurations urban landscapes. Remote sensing technology such as laser scanning measures reproduce them geo-specific 3D models, while dynamic simulation is widely used predict how scenarios will perform under given conditions. However, there still a need for holistic process that capable integrating both measured dynamics. presents novel framework using point cloud shape are iteratively evaluated their performance. proposed demonstrated through case study Singapore. New tested site an iterative comparative analysis exposes (1) site-specific approach by laser-scanned model, (2) workflow convert geometric data from models into voxels meshes, (3) integration computational fluid (CFD) during development per-point attributes, (4) comparison identify best performing scenarios. can support city managers, planners, designers better inform decision-making relying accurate feedback. By guiding with consideration built environment complex adaptive system, it be possible improve open spaces ecosystem services cities, landscapes mitigate events heat islands.