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Exploring the evolutionary patterns of urban activity areas based on origin-destination data
2019
IEEE Access
An understanding of the evolutionary patterns in areas of urban activity is crucial for official decision makers and urban planners. The origin-destination (OD) datasets generated by human daily travel behavior reflect urban dynamics. Previous spatio-temporal analysis methods utilize these datasets to extract popular city areas, with the ignorance of the flow relationships between areas. Several methods have been unable to determine time steps with similar spatial characteristics automatically
doi:10.1109/access.2019.2897070
fatcat:lvmtn7pfmjda3hecubz34uu2we