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. 2020 Oct 29;10:18642. doi: 10.1038/s41598-020-75697-z

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© The Author(s) 2020

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Distribution of core/non-core areas from the weighted k-shell decomposition. The coreness in (a) refers to weekday flow data, while in (b) it is for weekend flow data. Red-colored areas are for subzones identified as both incoming and outgoing core areas, purple-colored areas refer to solely outgoing core subzones, and pink-colored subzones highlight solely incoming core subzones. Generated with Python (3.7.5), Matplotlib (3.2.1) and GeoPandas (0.7.0).