It is critical to analyze and study the different aspects of population movement (mobility, trips and population at home) as it can provide meaningful insights to
- Understand spending and economical behavior to optimize business decisions such as marketing, staffing, advertising etc.
- Curb disease spread. Mobility information has been heavily studied to track COVID-19 spread [1][2]
- Better transport facilities and fleet / traffic management
- Better understanding on population/location based characteristics on movement dynamics
The trips data is released by BTS
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7 day periodicity observed in all data due to weekday/weekend differences
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Lower mobility in winter months compared to summer months
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Sharp drop observed at March 2020 due to nationwide restrictions and shutdown related to COVID
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Increase in mobility/trips seen in Jun 2020 due to easing/lifting COVID based restrictions
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Higher % stay at home during weekends (also true in 2019)
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Lower % during summer/fall months
[1] Kissler, S.M., Kishore, N., Prabhu, M. et al. Reductions in commuting mobility correlate with geographic differences in SARS-CoV-2 prevalence in New York City. Nat Commun 11, 4674 (2020). https://doi.org/10.1038/s41467-020-18271-5
[2] Measuring mobility to monitor travel and physical distancing interventions: a common framework for mobile phone data analysis Kishore, Nishant et al. The Lancet Digital Health, Volume 2, Issue 11, e622 - e628. https://doi.org/10.1016/S2589-7500(20)30193-X