Abstract
The human-centered perspective has been widely mentioned in the world. Accompanying with the raising call for human-centered consideration in urban design, a series of new data environment and new analytical methods bring new potentials for achieving this goal. For instance, the new data environment consisting of big data and open data could provide a foundation for in-depth studies of human-scale urban form and its related performances. New techniques and methods, e.g., Lidar imaging, virtual reality, eye-tracking, deep learning, big data mining and visualization, provide emerging insightful analytical approaches. Therefore, this chapter interprets the conceptual framework of human-scale urban form, which is the theoretic basis for DAD. Following this route, this chapter firstly reviews existing studies related to the concept. Three essential issues of human-scale urban form, i.e., measurements, performances, and urban design interventions, are then discussed to guide future researches. After that, several initial studies are illustrated as empirical examples. It could promote the transition towards more scientific urban design paradigms, and finally contribute to better urban spaces.
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Acknowledgements
We would like to thank Prof. Ye for his proposal, support, and contribution during the development of urban-scale urban form.
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Long, Y., Zhang, E. (2021). Human-scale Urban Form and Its Application in DAD. In: Data Augmented Design. Strategies for Sustainability(). Springer, Cham. https://doi.org/10.1007/978-3-030-49618-0_3
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