The Big Data phenomenon has left research laboratories and has become a central topic in the innovation debate. The project that the geomatics lab of the University of Udine is developing aims at the reconstruction of the dynamics of complex systems such as cities, tourist destinations, transport systems, ... using anonymous and aggregated data acquired from telephone operators and from social networks with ad hoc mathematical/statistical models. The questions you can address are of the type: • how many tourists/people are present in a place at a certain time? • where do they come from? • where will they go? • what is the average stay? • which places do they visit? • where are those arrived yesterday with a certain flight? • how do behaviors change according to origin? • how is the territory/event perceived? • what are they discussing on social media? • ... The data supporting these analyses are of two types: • presence in space and time, from cell phone operators • tweets and data posted on social media All the data are geocoded so the GIS is the most indicated tool for the analysis. We have here two case studies, one regarding the analysis of a summer rainy day in Grado seaside resort and the second regarding the origin, presences and movements of people in Udine Friuli DOC event
Analysis of the Tourist Presence and Movements Using Cell Phone Data and Geomatics
Amaduzzi, Salvatore
2018-01-01
Abstract
The Big Data phenomenon has left research laboratories and has become a central topic in the innovation debate. The project that the geomatics lab of the University of Udine is developing aims at the reconstruction of the dynamics of complex systems such as cities, tourist destinations, transport systems, ... using anonymous and aggregated data acquired from telephone operators and from social networks with ad hoc mathematical/statistical models. The questions you can address are of the type: • how many tourists/people are present in a place at a certain time? • where do they come from? • where will they go? • what is the average stay? • which places do they visit? • where are those arrived yesterday with a certain flight? • how do behaviors change according to origin? • how is the territory/event perceived? • what are they discussing on social media? • ... The data supporting these analyses are of two types: • presence in space and time, from cell phone operators • tweets and data posted on social media All the data are geocoded so the GIS is the most indicated tool for the analysis. We have here two case studies, one regarding the analysis of a summer rainy day in Grado seaside resort and the second regarding the origin, presences and movements of people in Udine Friuli DOC eventFile | Dimensione | Formato | |
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