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I did adjacent analysis for a catchment area study last year using anonymized mobile geolocation data, which can be readily purchased from several providers. The geolocation data are sourced from the thousands of free/freemium apps that make money reporting their GPS coordinates to aggregators.
The data is sold in de-identified form but each mobile is given a unique hash, so it is possible to track how far and how fast a mobile travels along any arbitrary time series. This includes people walking, cycling, riding public transport, driving, flying, taking a ferry, etc. for both daily commutes, business travel, holidays, etc.
It would be fascinating to replicate your analysis on a larger sample with worldwide coverage and confirm this linear relationship of distance and time 1 reply
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