Log In Sign Up

Evaluating the Effect of the Financial Status to the Mobility Customs

by   Gergo Pinter, et al.

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


page 4

page 7

page 8

page 9

page 10

page 17

page 19

page 20


On Inferring User Socioeconomic Status with Mobility Records

When users move in a physical space (e.g., an urban space), they would h...

Uncovering the socioeconomic structure of spatial and social interactions in cities

The relationship between urban mobility, social networks and socioeconom...

Gender gaps in urban mobility

The use of public transportation or simply moving about in streets are g...

Allocating Opportunities in a Dynamic Model of Intergenerational Mobility

Opportunities such as higher education can promote intergenerational mob...

Estimating Socioeconomic Status via Temporal-Spatial Mobility Analysis -- A Case Study of Smart Card Data

The notion of socioeconomic status (SES) of a person or family reflects ...

Assessing the quality of home detection from mobile phone data for official statistics

Mobile phone data are an interesting new data source for official statis...