Spatiotemporal analysis of bike-share demand using DTW-based clustering and predictive analytics

Transportation Research Part E: Logistics and Transportation Review（2023）

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摘要

•Propose weighted dynamic time warping (DTW) to measure demand similarity.•Cluster bike stations based on demand using DTW-based clustering.•Identify eight clusters with unique temporal activities.•Classify cluster type based on neighborhood features of the bike stations.•Discover non-tree-based models outperform tree-based models for classification.

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关键词

Bike-share,First/last-mile mobility,Built environment,Dynamic time warping,Clustering,Classification algorithms

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