The Geography of Taste: Analyzing Cell-Phone Mobility and Social Events
By Francesco Calabrese, Francisco Câmara Pereira, Giusy Di Lorenzo, Liu Liang, Carlo Ratti. International Conference on Pervasive Computing, 2010
301 citations recorded by the source corpus.
This paper deals with the analysis of crowd mobility during special events. We analyze nearly 1 million cell-phone traces and associate their destinations with social events. We show that the origins of people attending an event are strongly correlated to the type of event, with implications in city management, since the knowledge of additive flows can be a critical information on which to take decisions about events management and congestion mitigation.
Subfields: Computer Science Applications, Ocean Engineering, Transportation
View Paper: https://www.semanticscholar.org/paper/2290e99bc837a49fbeea5e3b37f97d5d76ac8069
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Science Applications
In Ocean Engineering
In Transportation
- Vincent D. Blondel
- Laura Ferrari
- Francesco Calabrese
- Stanislav Sobolevsky
- Carlo Ratti
- Daqing Zhang
- Shijian Li
- Eugene Marinelli
Citations in the corpus
- Prediction of urban human mobility using large-scale taxi traces and its applications (2012, background): “From these digital footprints, it is feasible for researchers to extract social and community intelligence [1], ranging from urban environment dynamics [2,3] to social events [4,5].”
- Representation and communication: challenges in interpreting large social media datasets (2013, background): “Location-based social media (from services such as Foursquare and Twitter) have been used to infer details about travel patterns and behaviours [11, 22] and with the increasing possibility of location sensing, large scale location data has be used to predict social events attendance [7] or to infer ”
- Geo-located Twitter as proxy for global mobility patterns (2013, background): “Because cell phones are almost universally used, data about their use have led to important findings about movement in urban (Calabrese et al. 2010; Kang et al. 2012), regional (Calabrese et al. 2013; Sagl et al. 2012), and national scales (Krings et al. 2009; Simini et al. 2012).”
- Urban Sensing Using Mobile Phone Network Data: A Survey of Research (2014, background): “The main pros is that such kind of data generally presents the lower inter-event time (Calabrese et al., 2010), but smartphone users’ behavior does not always represent a general sample of citizen’s behavior.”