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Identifying the recurring travel patterns among older people: A mobility motif analysis with smartphone track and trace data
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DOI：10.1016/j.jth.2025.102222.png)
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Abstract
En 中文
• Mobility motifs analysis of older people using 12-week smartphone tracking data. • 19 key patterns account for 92.2 % of daily travel networks among older people. • Novel matching with national ELSA data addresses self-selection bias. • Three mobility groups show distinct travel frequency and destination patterns. • Provides evidence-based recommendations for age-friendly transport planning.
Keywords:
Human mobility
Graph theory
Network analysis
Older people
Transport planning
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