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- W4297547869 abstract "Designing high-rise buildings as urban habitats rather than structures separated from their environments has become a significant concern. However, the lack of quantitative understandings impedes efficient design interventions targeting better placemaking. The rapid development of information and communication technology has led to the rise of a new urban science manifesting as a new infrastructure of sensing, data collection, and analysis of urbanism. In response, this chapter attempts to provide a review and case study for these emerging analytical approaches in addressing urban issues around high-rise buildings. Specifically, the evidence-based approach using virtual reality (VR) and wearable biosensors helps measure unmeasurable spatial perception of high-rise buildings' ground condition and inner space. The data-informed system using multi-sourced data and quantitative urban morphology helps analyze the social performance of urban forms and building layouts. Using deep learning algorithms, the computational design approach helps compute human activities and generate new designs with human-oriented concerns. In short, improvements in these three directions bring new potential to accelerate the transformation of high-rise buildings into integrated urban habitats. In this review, we seek to develop a systematic discussion of the potential of the new technologies and data approaches in promoting human-oriented habitats in the context of high-rise development." @default.
- W4297547869 created "2022-09-29" @default.
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- W4297547869 date "2022-09-27" @default.
- W4297547869 modified "2023-09-27" @default.
- W4297547869 title "High-rise buildings as urban habitat: urban design analytics in the context of new urban science" @default.
- W4297547869 doi "https://doi.org/10.1049/pbbe003e_ch18" @default.
- W4297547869 hasPublicationYear "2022" @default.
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