Abstract
In the past few years, a large amount of geolocation data related to human movement has allowed scientists to generate representative models and prediction techniques for modeling, predicting, and mapping population mobility. Multisource heterogeneous data from the ground to space, such as GPS, census data, social media, mobile phone records, and remote sensing, provide a new driving force for exploring population mobility. The mapping of population mobility plays a vital role in applications such as estimating migratory flows, urban planning, epidemic control, location-based services, and transportation management. This research aims to review: 1) Study of population mobility based on multisource heterogeneous data, 2) The approaches developed to reproduce various population mobility patterns, and 3) The application of GIS and remote sensing for population mobility mapping. This research uses the literature review method. This review can be used both to introduce the fundamental modeling principles of population mobility and as a collection of GIS and remote sensing technical methods applicable to mapping population mobility.
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