Big Data and origin-destination matrices: mapping of mobility flows in Spain based on Twitter data and comparison with cell phone data
This work analyses the value of new data sources based on Big Data to study mobility in Spain and compares different mobility patterns observed according to the data used. To do this, this work uses geolocated Twitter data published in Spain over a period of 30 months, analyses the spatio-temporal distribution of Twitter users according to the province or month in which the tweet was published, and designs a series of Origin-Destination matrices with the aim of visualizing different patterns in mobility flows on working days or during the summer vacation period. Finally, the results obtained are compared with the Origin-Destination matrices published by the Spanish Ministry of Development based on mobile phone data. The results obtained indicate a spatial distribution of Twitter users close to reality, a greater number of users in the month of August, and the role of the Community of Madrid as a core province that attracts travel at a national level. Regarding mobile phone data, a greater concentration of trips with origin or destination in the province of Madrid has been observed based on Twitter data.
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