Differences of communication activity and mobility patterns between urban and rural people
Fumiko Ogushi (),
Chandreyee Roy and
Kimmo Kaski
Additional contact information
Fumiko Ogushi: Meiji Gakuin University
Chandreyee Roy: Aalto University School of Science
Kimmo Kaski: Aalto University School of Science
Journal of Computational Social Science, 2025, vol. 8, issue 2, No 25, 25 pages
Abstract:
Abstract Human mobility and other social activity patterns influence various aspects of society such as urban planning, traffic predictions, crisis resilience, and epidemic prevention. The behaviour of individuals, like their communication frequencies and movements, are shaped by societal and socio-economic factors. In addition, the differences in the geolocation of people as well as their gender and age cast effects on their activity patterns. In this study we focus on investigating these patterns by using mobile phone data, specifically the call detail records (CDRs), to analyze the social communication and mobility patterns of people. This dataset can provide us insight into the individual and population-level behaviours in rural and urban environments on a daily, weekly and seasonal basis. The results of our analyses show that in the urban areas people have high calling activity but low mobility, while in the rural areas they show the opposite behaviour, i.e. low calling activity combined with high mobility. Overall, there is a decreasing trend in people’s mobility through the year even though their calling activity remained consistent except for the holidays during which time the communication frequency drops markedly. We have also observed that there are significant differences in the mobility between the work days and free days. Finally, the age and gender of individuals have also been observed to play a role in the seasonal patterns differently in urban and rural areas.
Keywords: Mobile phone data; Human activity; Mobility; Social science (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s42001-025-00368-w Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:jcsosc:v:8:y:2025:i:2:d:10.1007_s42001-025-00368-w
Ordering information: This journal article can be ordered from
http://www.springer. ... iences/journal/42001
DOI: 10.1007/s42001-025-00368-w
Access Statistics for this article
Journal of Computational Social Science is currently edited by Takashi Kamihigashi
More articles in Journal of Computational Social Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().