Abstract
AbstractThe increasing use of mobile phone location (MPL) data in mobility research has provided many insights into people's travel behaviors. Despite these achievements, the spatial distribution of MPL data positioning uncertainties and their influence mechanism are rarely discussed. In this research, we investigate the influence of geographical determinants on the spatial distribution of the positioning uncertainties in MPL data. First, we discuss the spatial distribution trends in the positioning uncertainties of MPL data. Then we apply multiple linear regression and geographical detector (GeoDetector) models to explore the influence mechanism on the spatial distribution of the positioning uncertainties. By applying these methods to MPL data sets from a major operator in Nanjing city, we find a spatial aggregation phenomenon in the positioning uncertainties. Elevation contributes most to the spatial distribution of the positioning uncertainties. Furthermore, the influencing power of geographical factors on the spatial distribution of positioning uncertainties is nonlinearly enhanced after an interaction.
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