Evaluating the Effect of the Financial Status to the Mobility Customs

In this article, we explore the relationship between cellular phone data and housing prices in Budapest, Hungary. We determine mobility indicators from one months of Call Detail Records (CDR) data, while property price are used to characterize socioeconomic status at Capital First, validated proposed methodology by comparing Home Work locations estimation commuting patterns derived network dataset with reports national mini census. investigated statistical relationships mobile indicators, such as Radius Gyration, distance or Entropy visited cells, measures economic based on prices. Our findings show that correlates significantly status. performed Principal Component Analysis (PCA) combined vectors order dependence habits The results PCA investigation showed remarkable correlation customs.