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_id caadria2021_231
id caadria2021_231
authors Wong, Kwan Ki Calvin and van Ameijde, Jeroen
year 2021
title In-Between Spaces: Data-driven Analysis and Generative Design for Public Housing Estate Layouts
doi https://doi.org/10.52842/conf.caadria.2021.2.397
source A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 397-406
summary As Hong Kong constructs increasingly high-density, high-rise public housing estates to increase land use efficiency, public in-between spaces are more constrained, which impacts the quality of social relations, movements and daily practices of residents (Shelton et al. 2011; Tang et al. 2019). Current planning practices are focused on the achievement of quantitative performance measures, rather than qualitative design considerations that support residents experiences and community interaction. This paper presents a new methodology that combines urban analysis and generative design for the regeneration of social housing estates, based on the spatial and social qualities of their in-between spaces.
keywords Social Housing; Public Open Space; Generative Design; Urban Planning
series CAADRIA
email
last changed 2022/06/07 07:57

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