Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Human-Centric Computational Urban Design:Optimizing High-Density Urban Areas to Enhance Human Well-being
Urban areas face increasing pressure due to densification, presenting numerous challenges involving various stakeholders. The impact of densification on human well-being in existing urban areas can be both positive and negative, which requires a comprehensive understanding of its consequences. Computational Urban Design (CUD) emerges as a valuable tool in this context, offering rapid generation and evaluation of design solutions, although it currently lacks consideration for human perception in urban areas. This research addresses the challenge of incorporating human perception into computational urban design in the context of urban densification, and therefore demonstrates a complete process. Using Place Pulse 2.0 data and multinomial logit models, the study first quantifies the relationship between volumetric built elements and human perception (beauty, liveliness, and safety). The findings are then integrated into a Grasshopper-based CUD tool, enabling the optimization of parametric designs based on human perception criteria. The results show the potential of this approach. Finally, future research and development ideas are suggested based on the experiences and insights derived from this study.
Human-Centric Computational Urban Design:Optimizing High-Density Urban Areas to Enhance Human Well-being
Urban areas face increasing pressure due to densification, presenting numerous challenges involving various stakeholders. The impact of densification on human well-being in existing urban areas can be both positive and negative, which requires a comprehensive understanding of its consequences. Computational Urban Design (CUD) emerges as a valuable tool in this context, offering rapid generation and evaluation of design solutions, although it currently lacks consideration for human perception in urban areas. This research addresses the challenge of incorporating human perception into computational urban design in the context of urban densification, and therefore demonstrates a complete process. Using Place Pulse 2.0 data and multinomial logit models, the study first quantifies the relationship between volumetric built elements and human perception (beauty, liveliness, and safety). The findings are then integrated into a Grasshopper-based CUD tool, enabling the optimization of parametric designs based on human perception criteria. The results show the potential of this approach. Finally, future research and development ideas are suggested based on the experiences and insights derived from this study.
Human-Centric Computational Urban Design:Optimizing High-Density Urban Areas to Enhance Human Well-being
van Veghel, Joppe W. (Autor:in) / Dane, Gamze Z. (Autor:in) / Agugiaro, Giorgio (Autor:in) / Borgers, Aloys W.J. (Autor:in)
01.01.2024
van Veghel, J W, Dane, G Z, Agugiaro, G & Borgers, A W J 2024, 'Human-Centric Computational Urban Design : Optimizing High-Density Urban Areas to Enhance Human Well-being', Computational Urban Science, vol. 4, no. 1, 13. https://doi.org/10.1007/s43762-024-00124-2
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Urban perception , Generative area design , Subjective well-being , Computational Urban Design , Optimization , Densification , /dk/atira/pure/sustainabledevelopmentgoals/sustainable_cities_and_communities , name=SDG 11 - Sustainable Cities and Communities , /dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being , name=SDG 3 - Good Health and Well-being
DDC:
710
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