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A time-series-based model to detect homogeneous regions of residents’ dynamic living habits
16 references·1 citing·54 second hop
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References

  • 2019GeoAI: spatially explicit artificial intelligence techniques for geographic knowledge discovery and beyond605 cited
  • 2015Is Bigger Always Better? Potential Biases of Big Data Derived from Social Network Sites267 cited
  • 2021Changes in local travel behaviour before and during the COVID-19 pandemic in Hong Kong182 cited
  • 2018Seoul's Wi-Fi hotspots: Wi-Fi access points as an indicator of urban vitality163 cited
  • 2021Places for play: Understanding human perception of playability in cities using street view images and deep learning105 cited
  • 2020Big spatial data for urban and environmental sustainability86 cited
  • 2021Exploring metro vibrancy and its relationship with built environment: a cross-city comparison using multi-source urban data62 cited
  • 2020Quantify city-level dynamic functions across China using social media and POIs data60 cited
  • 2018Pattern Matching Trading System Based on the Dynamic Time Warping Algorithm46 cited
  • 2023Integration of migration and attention flow data to reveal association of virtual–real dual intercity network structure28 cited
  • 2023Untangling the association between urban mobility and urban elements24 cited
  • 2023Multi-scale cross-city community detection of urban agglomeration using signaling big data22 cited
  • 2018An approach for understanding human activity patterns with the motivations behind21 cited

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2021
Understanding collective human movement dynamics during large-scale events using big geosocial data analytics
19 cited
  • 2022City association pattern discovery: A flow perspective by using cultural semantic similarity of place name15 cited
  • 2023Strength-weighted flow cluster method considering spatiotemporal contiguity to reveal interregional association patterns14 cited
  • Cited by

    • 2025Revealing the City Influence and Its Pattern Using Web Search Data: A New Perspective Through Attention Flow3 cited