Conference paper Open Access

A Data-driven Perspective for Exploring the Urban Functional Identities in Hong Kong

Yu, Zidong; Liu, Xintao

Revealing urban functions in cities can be an essential means to describe the characteristics of human activities and places. Through the lens of points of interest and tourist online reviews collected in downtown Hong Kong, this study develops a semantic-based framework to detect and compare urban functional identities. The findings depict a unique image of city identity for the downtown area in Hong Kong that contains miscellaneous urban vibrancies. Ultimately, a profound insight is yielded in our study for the understanding of local activities, which can provide human-centric implications for evidence-based urban planning and establish real-world cognitions to the public.

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