Sentence examples for mobile phones data from inspiring English sources
It is clear, however, that mobile phones data accounts also for individuals who are not permanent residents and, therefore, cannot be tracked by census.
Furthermore, the estimation of the population diversity using mobile phones data will be biased by different usage patterns between different demographic groups [31].
Following the above considerations, it is reasonable to argue that mobile phones data could be used as a proxy to measure the diversity of the resident population living in the city without having to resort to census data.
To quantify the extent to which mobile phones data can be used as a proxy for estimating the diversity of the city population, we compared the list of countries ranked by their cumulative calling activity records with the nationalities of residents ranked by their prevalence as reported in the local census in the year 2012 [32].
More specifically, it was larger than 0.4 for 55 (83%) of the NILs with median value 0.48 and 95% reference range [0.32-0.69] [0.32-0.69]at mobile phoneshowingcan be used as a firsthatder proxy to study the distribution of the resident foreign population even at a finer spatial resolution.
A fundamental contribution to this research field has derived from the analysis of mobile phones data, which has been proved to be an important source of information to study how people move [15, 55] and interact [56, 57], especially in a urban environment [24, 58 60].
Based on large-scale mobile phone data, mobility demand was estimated and locations of vehicles were inferred in the Boston area.
Pappalardo et al. [38] propose a data-driven analytical framework to 'nowcast' socio-economical indicators using mobility features extracted from mobile phone data.
This study leverages mobile phone data to analyze human mobility patterns in a developing nation, especially in comparison to those of a more industrialized nation.
Mobile phone data also provide information about users' mobility, leading to studies which combine human movement and communication patterns.
Existing studies of mobile phone data have given us insight on numerous aspects of human mobility [2 6].
