Journal of Digital Landscape Architecture

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AI as a Collaborative Partner in Landscape Form-finding

This study introduces an AI-assisted workflow for wind simulation in landscape form-finding. It can rapidly deliver a series of design options within designers' predefined constraints, each detailed with wind indicators. Integrating AI to detect subtle environmental changes and align with designers' intuitive decisions, this research fosters a collaborative paradigm between landscape architects and AI, aiming to shift from physics engine simulations to employing real-time AI simulations for rapidly aiding designers in the form-finding process in landscape design.

Autor / Author: Tan, Chuheng; Zhong, Ximing; Fricker, Pia
Institution / Institution: Architectural Association School of Architecture, London/United Kingdom; Aalto University, Espoo/Finland; Aalto University, Espoo/Finland
Seitenzahl / Pages: 10
Sprache / Language: Englisch
Veröffentlichung / Publication: JoDLA – Journal of Digital Landscape Architecture, 9-2024
Tagung / Conference: Digital Landscape Architecture 2024 – New Trajectories in Computational Urban Landscapes and Ecology
Veranstaltungsort, -datum / Venue, Date: Vienna University of Technology, Austria 05-06-24 - 07-06-24
Schlüsselwörter (de):
Keywords (en): Landscape form-finding, real-time wind-driven co-design, deep learning
Paper review type: Full Paper Review
DOI: doi:10.14627/537752008
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