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Identify and Delimitate Urban Hotspot Areas Using a Network-Based Spatiotemporal Field Clustering Method

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References

2009Daily rhythms of suburban commuters’ movements in the Tallinn metropolitan area: Case study with mobile positioning data269 cited
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2009Mining time-dependent attractive areas and movement patterns from taxi trajectory data122 cited
2015Mining spatiotemporal patterns of urban dwellers from taxi trajectory data65 cited
2008Geocomputation and Urban Planning28 cited
2014The visualization and analysis of urban facility pois using network kernel density estimation constrained by multi-factors27 cited

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2021Urban hotspots detection of taxi stops with local maximum density28 cited
2021Characterization of Mobility Patterns With a Hierarchical Clustering of Origin-Destination GPS Taxi Data23 cited
2020Identifying Urban Traveling Hotspots Using an Interaction-Based Spatio-Temporal Data Field and Trajectory Data: A Case Study within the Sixth Ring Road of Beijing10 cited
2020Unfolding Spatial-Temporal Patterns of Taxi Trip based on an Improved Network Kernel Density Estimation8 cited
2025Revealing Spatiotemporal Urban Activity Patterns: A Machine Learning Study Using Google Popular Times2 cited
2020Exploring the Attractiveness of Residential Areas for Human Activities Based on Shared E-Bike Trajectory Data

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2 cited

2023Mobile Collaborative Heatmapping to Infer Self-Guided Walking Tourists’ Preferences for Geomedia2 cited