
Global climate change poses various threats to densely developed cities and their urban infrastructures. As an archipelago and product of many significant land reclamation efforts over the centuries, Singapore is most vulnerable to rising seawater levels and faces increasing climate change-related challenges, including intense rainstorms, water scarcity, food shortage, and extreme heat. This paper proposes a Synergy System, or climate-responsive computational design method, to create a new typology of urban agriculture integrated with the existing infrastructure. This study employs performance-based generative design to generate typologies and optimize them in terms of driving factors such as food production and microclimate adjustment. The performance evaluation model as a tool supports the design of multifunctional and climate-responsive infrastructure typologies.
Autor / Author: | Xu, Meng; Fricker, Pia |
Institution / Institution: | Aalto University, Helsinki/Finland; Aalto University, Helsinki/Finland |
Seitenzahl / Pages: | 9 |
Sprache / Language: | Englisch |
Veröffentlichung / Publication: | JoDLA – Journal of Digital Landscape Architecture, 8-2023 |
Tagung / Conference: | Digital Landscape Architecture 2023 – Future Resilient Landscapes |
Veranstaltungsort, -datum / Venue, Date: | Dessau Campus of Anhalt University, Germany 24-05-23 - 27-05-23 |
Schlüsselwörter (de): | |
Keywords (en): | Climate resilience, stormwater infrastructure, urban agriculture, microclimate, performance simulation, generative design |
Paper review type: | Full Paper Review |
DOI: | doi:10.14627/537740031 |
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