Unveiling social vibrancy in urban spaces with app usage
Published in arXiv preprint arXiv:2412.14943, 2024
Recommended citation: Collins, T., Pacheco, D., Di Clemente, R., & Botta, F. (2024). "Unveiling social vibrancy in urban spaces with app usage." arXiv preprint arXiv:2412.14943. https://arxiv.org/abs/2412.14943
The widespread use of mobile apps has transformed daily interactions, shaping social connectivity, decision-making, and travel. Yet the link between app-usage patterns, urban spaces, and demographics remains underexplored.
Using high-resolution app-usage data across eighteen French cities from the NetMob23 dataset, we investigate how socially relevant urban features derived from OpenStreetMap interact with patterns of online behaviour. We develop a methodology for identifying and classifying multidimensional app-usage time series based on similarity, capturing variation across cities and between weekdays and weekends. The work contributes a computational lens on urban vibrancy and offers actionable insights for understanding inclusive and adaptive urban environments.
Recommended citation: Collins, T., Pacheco, D., Di Clemente, R., & Botta, F. (2024). “Unveiling social vibrancy in urban spaces with app usage.” arXiv preprint arXiv:2412.14943.