Unraveling pedestrian mobility on a road network using ICTs data during great tourist events

A new dataset from TIM, capturing GPS positions of mobile devices, reveals distinct pedestrian mobility patterns in Venice during high tourist events. The study identifies characteristic travel time budgets and rest times that influence mobility dynamics, highlighting two interconnected subnetworks responsible for the majority of observed movements. Analysis distinguishes between Italian and foreigner tourists, uncovering unique mobility behaviors linked to points of interest. This approach offers innovative tools to assess pedestrian flows in historical cities, aiding governance efforts to balance tourist influx with urban livability and cultural heritage preservation.

Mizzi, C., Fabbri, A., Rambaldi, S., Bertini, F., Curti, N., Sinigardi, S., Luzi, R., Venturi, G., Davide, M., Muratore, G., Vannelli, A., & Bazzani, A. (2018). Unraveling pedestrian mobility on a road network using ICTs data during great tourist events. EPJ Data Science, 7(1). https://doi.org/10.1140/epjds/s13688-018-0168-2