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SNN_flow: a shared nearest-neighbor-based clustering method for inhomogeneous origin-destination flows
7 references·9 citing·44 second hop
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this work references cited by second hop

References

  • 2007Introduction to Data Mining941 cited
  • 2019Modifiable Areal Unit Problem673 cited
  • 2012Urban land uses and traffic ‘source-sink areas’: Evidence from GPS-enabled taxi data in Shanghai423 cited
  • 2013From taxi GPS traces to social and community dynamics253 cited
  • 2005Location based services—new challenges for planning and public administration?199 cited
  • 2018Detecting arbitrarily shaped clusters in origin-destination flows using ant colony optimization56 cited
  • 2017Spatiotemporal model for assessing the stability of urban human convergence and divergence patterns49 cited

Cited by

  • 2024An adaptive OD flow clustering method to identify heterogeneous urban mobility trends18 cited
  • 2023Exploring Crowd Travel Demands Based on the Characteristics of Spatiotemporal Interaction between Urban Functional Zones16 cited
  • 2024A novel dynamic quantification model for diurnal urban land use intensity16 cited
  • 2023Strength-weighted flow cluster method considering spatiotemporal contiguity to reveal interregional association patterns14 cited
  • 2023Deciphering flow clusters from large-scale free-floating bike sharing journey data: a two-stage flow clustering method13 cited
  • 2022Jittering: A Computationally Efficient Method for Generating Realistic Route Networks from Origin-Destination Data12 cited

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2024
Estimation of travel flux between urban blocks by combining spatio-temporal and purpose correlation
8 cited
  • 2024Could free-floating bikeshare weed out station-based bikeshare? Analyzing the relationship between two bikeshare systems from bivariate flow clustering8 cited
  • 2024Modelling and application of a spectral clustering method for shared bicycle trajectories4 cited