The evaluation of urban spatial quality and utility trade-offs for Post-COVID working preferences: a case study of Hong Kong.

Autor: Song Q; Arcadis IBI Group, Toronto, Canada., Dou Z; School of Geographic Information Science, University of Queensland, St.Lucia, Australia., Qiu W; Department of City and Regional Planning, Cornell University, Ithaca, USA., Li W; Center for Spatial Information Science, The University of Tokyo, Tokyo, Japan., Wang J; School of Architecture, Tsinghua University, Beijing, China., van Ameijde J; School of Architecture, The Chinese University of Hong Kong, Hong Kong SAR, China., Luo D; School of Architecture, University of Queensland, St.Lucia, Australia.
Jazyk: angličtina
Zdroj: Architectural intelligence [Archit Intell] 2023; Vol. 2 (1), pp. 1. Date of Electronic Publication: 2023 Jan 27.
DOI: 10.1007/s44223-022-00020-x
Abstrakt: The formation of urban districts and the appeal of densely populated areas reflect a spatial equilibrium in which workers migrate to locations with greater urban vitality but diminished environmental qualities. However, the pandemic and associated health concerns have accelerated remote and hybrid work modes, altered people's sense of place and appreciation of urban density, and transformed perceptions of desirable places to live and work. This study presents a systematic method for evaluating the trade-offs between perceived urban environmental qualities and urban amenities by analysing post-pandemic urban residence preferences. By evaluating neighbourhood Street View Imagery (SVI) and urban amenity data, such as park sizes, the study collects subjective opinions from surveys on two working conditions (work-from-office or from-home). On this basis, several Machine Learning (ML) models were trained to predict the preference scores for both work modes. In light of the complexity of work-from-home preferences, the results demonstrate that the method predicts work-from-office scores with greater precision. In the post-pandemic era, the research aims to shed light on the development of a valuable instrument for driving and evaluating urban design strategies based on the potential self-organisation of work-life patterns and social profiles in designated neighbourhoods.
Competing Interests: Competing interestsNon-financial competing interests include (but are not limited to) political, personal, religious, ideological, academic, and intellectual competing interests.
(© The Author(s) 2023.)
Databáze: MEDLINE
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