Sensing Population Mobility through City Boundary in Greater Maputo via Mobile Phone Big Data Mining

Abstract

Mobile Phones are near ubiquitous. We introduce a sensing technique to count how many people flow into and out of an urban area in an average weekday and weekend by combining subscribers billing records, road infrastructure network, and population data. Furthermore, trips are disaggregated by entry region and validated to the most recent available traffic survey. We found that 69,439 trip, 69,164 trip flow into and out of Greater Maputo in Mozambique, our study area, respectively in an average weekday, while those numbers are 46,976 trip, 45,237 trip on an average weekend.