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HoWDe: A validated algorithm for Home and Work location Detection
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DOI：10.1016/j.compenvurbsys.2025.102397.png)
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Abstract
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• Analysed home/work visit behaviour using data from 5099 users in 68 countries. • Introduced HoWDe, a robust and validated home/work detection algorithm. • Achieved up to 97% home and 88% work detection accuracy. • Revealed trade-offs in detection accuracy vs. user retention. • Released an open-source tool and dataset to support reproducible mobility research.
Keywords:
Home and work detection
Open-source
Human mobility
GPS data
Stop-location data
Missing data
Urban analytics
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