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- W3204281153 endingPage "340" @default.
- W3204281153 startingPage "317" @default.
- W3204281153 abstract "Abstract While daily periodic movements of individuals have been widely studied, their collective dynamics are not understood. To capture periodic collective dynamics, this article represents individual daily movements as a time series of directed weighted origin–destination (OD) networks, and proposes an approach to identify a sub‐network called the “recurrent OD network”, which contains frequent edges appearing in each day. Taxi trajectory data over a period of 6 months in Wuhan, China are used for the case study. Here, we extracted the recurrent OD networks for each 2‐h period on a given day, and compared them with the corresponding “major OD network” defined by both frequent and infrequent edges. Results show that the recurrent OD networks coincidentally exhibit spatially localized community structures and distinctive patterns of inflow and outflow for each region within a day. Overall, both methodology and findings in this study might make significant contributions in a range of fields, such as urban planning, regional economic development, and infectious disease control." @default.
- W3204281153 created "2021-10-11" @default.
- W3204281153 creator A5023127879 @default.
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- W3204281153 creator A5043731325 @default.
- W3204281153 creator A5074356426 @default.
- W3204281153 creator A5080675460 @default.
- W3204281153 date "2021-10-05" @default.
- W3204281153 modified "2023-10-17" @default.
- W3204281153 title "Recurrent origin–destination network for exploration of human periodic collective dynamics" @default.
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- W3204281153 doi "https://doi.org/10.1111/tgis.12849" @default.
- W3204281153 hasPublicationYear "2021" @default.
- W3204281153 type Work @default.