Tourists and Visitors Flows in Lombardy
The dataset provides information about the aggregate yearly flow of individuals travelling across 120 municipalities located in Lombardy (Italy) with details on the origin and destination of the movement. The dataset refers to the calendar year 2022. The dataset also distinguishes among two differen...
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Format: | Dataset |
Sprache: | eng |
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Zusammenfassung: | The dataset provides information about the aggregate yearly flow of individuals travelling across 120 municipalities located in Lombardy (Italy) with details on the origin and destination of the movement. The dataset refers to the calendar year 2022.
The dataset also distinguishes among two different travelling profiles, namely visitors and tourists. In particular, visitors are defined as those individuals who make a visit outside of the municipality of usual residence for at least four hours without an overnight stay. On the other hand, Tourists are defined as those users with a night cell referring to a municipality that differs from the phone residence. Such definitions of these two travelling behaviour are consistent with those provided by official statistical offices.
In particular, the dataset “db_tourists.csv” provides information on the number of tourists moving from the municipality specified in the column “Origin_id” to the municipality specified in the column “Destination_id”.
The dataset “db_visitors.csv” provides information on the number of visitors moving from the municipality specified in the column “Origin_id” to the municipality specified in the column “Destination_id”.
Municipalities are anonymized and indicated through an index ranging between 1 and 120.
The mobile network data used in this paper have been made available to the authors by Polis, a public entity collaborating with the Lombardy region. These data are provided by a main telecommunication company in an anonymised and irreversibly aggregated form, in compliance with the privacy legislation, and the provisions of the EU GDPR, according to the Privacy by Design methodology. |
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DOI: | 10.5281/zenodo.11108588 |