Unknown

Dataset Information

0

Influence of sociodemographic characteristics on human mobility [corrected].


ABSTRACT: Human mobility has been traditionally studied using surveys that deliver snapshots of population displacement patterns. The growing accessibility to ICT information from portable digital media has recently opened the possibility of exploring human behavior at high spatio-temporal resolutions. Mobile phone records, geolocated tweets, check-ins from Foursquare or geotagged photos, have contributed to this purpose at different scales, from cities to countries, in different world areas. Many previous works lacked, however, details on the individuals' attributes such as age or gender. In this work, we analyze credit-card records from Barcelona and Madrid and by examining the geolocated credit-card transactions of individuals living in the two provinces, we find that the mobility patterns vary according to gender, age and occupation. Differences in distance traveled and travel purpose are observed between younger and older people, but, curiously, either between males and females of similar age. While mobility displays some generic features, here we show that sociodemographic characteristics play a relevant role and must be taken into account for mobility and epidemiological modelization.

SUBMITTER: Lenormand M 

PROVIDER: S-EPMC4438721 | biostudies-literature | 2015 May

REPOSITORIES: biostudies-literature

altmetric image

Publications

Influence of sociodemographic characteristics on human mobility [corrected].

Lenormand Maxime M   Louail Thomas T   Cantú-Ros Oliva G OG   Picornell Miguel M   Herranz Ricardo R   Arias Juan Murillo JM   Barthelemy Marc M   Miguel Maxi San MS   Ramasco José J JJ  

Scientific reports 20150520


Human mobility has been traditionally studied using surveys that deliver snapshots of population displacement patterns. The growing accessibility to ICT information from portable digital media has recently opened the possibility of exploring human behavior at high spatio-temporal resolutions. Mobile phone records, geolocated tweets, check-ins from Foursquare or geotagged photos, have contributed to this purpose at different scales, from cities to countries, in different world areas. Many previou  ...[more]

Similar Datasets

| S-EPMC8319369 | biostudies-literature
| S-EPMC8486604 | biostudies-literature
| S-EPMC8002853 | biostudies-literature
| S-EPMC8322366 | biostudies-literature
| S-EPMC7495887 | biostudies-literature
| S-EPMC8004453 | biostudies-literature
| S-EPMC4968466 | biostudies-literature
| S-EPMC4351344 | biostudies-literature
| S-EPMC9374225 | biostudies-literature
| S-EPMC10326138 | biostudies-literature