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- W4200233460 abstract "This paper leverages on the opportunities presented by individual level GPS data to study human mobility. It develops a methodology to understand the spatio-temporal properties of collective movements using network science. Through a spatially-weighted community detection approach, we derived functional neighbourhoods from human mobility patterns from GPS data and analyse the extent to which they vary across time. The results show that while the overall city structure remains stable, functional neighbourhoods tend to contract and expand over the course of the day. This work proposes a methodological framework and emphasises the importance of detecting short-term structural changes in cities based on human mobility." @default.
- W4200233460 created "2021-12-31" @default.
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- W4200233460 date "2021-12-03" @default.
- W4200233460 modified "2023-10-15" @default.
- W4200233460 title "Deriving Spatio-Temporal Geographies of Human Mobility from GPS traces" @default.
- W4200233460 doi "https://doi.org/10.31219/osf.io/2p9vk" @default.
- W4200233460 hasPublicationYear "2021" @default.
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