A Parametric Framework to Assess Generative Urban Design Proposals for Transit-Oriented Development
نویسندگان
چکیده
Urban design has been valuable in bringing the principles of transit-oriented development (TOD) into reality. However, a majority recommendations summarized by scholars for promoting TODs through urban have failed to promote progress design. The main reason this issue is long-standing tradition decision-making based on designers’ experience and lack quantitative assessment feedback schemes. With big data artificial intelligence, optimisation-based generative explored overcome limitations experience-based approaches. techniques workflows are still not mature enough designers adopt. In response these challenges, study proposes framework that integrates method data-driven approach solutions better implement basic TODs. Based intelligence TODs, uses parametric tools models evaluate proposals, providing timely support decisions. applied case examine feasibility. It demonstrated succeeds selecting optimal TOD solutions. role design, as well importance qualitative decision-making, highlighted.
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ژورنال
عنوان ژورنال: Buildings
سال: 2022
ISSN: ['2075-5309']
DOI: https://doi.org/10.3390/buildings12111971