![]() We found the GMLH data reasonably captured the spatial movement of the subject during the one-week time period at up to 200 m resolution. We also conducted an online survey (n = 284) to assess the availability of GMLH data among smartphone users in the US. The retrieved Google Maps Location History (GMLH) data were then compared with the GPS data to evaluate their effectiveness and accuracy of the GMLH data to capture individual mobility. Here, one subject carried a smartphone installed with Google Maps, and a reference GPS data logger which was configured to record location every 10 s, for a period of one week. In this study, we demonstrate the potential of using location history data collected from smartphones by the Google Maps application for characterizing historical individual mobility and exposure. Individual mobility is often neglected due to lack of data, and exposure misclassification errors are expected. However, in many retrospective air pollution health studies, exposure to air pollution is typically estimated at the subjects’ residential addresses. Appropriately characterizing spatiotemporal individual mobility is important in many research areas, including epidemiological studies focusing on air pollution.
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