Please note that the ITEA Office will be closed from 25 December 2024 to 1 January 2025 inclusive.
Tourist flows prediction
- Project
- 17020 POLDER
- Description
Provides accurate short term (one week ahead) prediction of tourist flows with minimum required historical data (only three weeks) for model training.
- Contact
- Nommon Solutions and Technologies S.L.
- mobility.analytics@nommon.es
- Technical features
Input(s):
- Zoning specification of the area of study, shp file.
- Three weeks of historical data of indicators of pernoctations, daily and hourly presence in each zone of the area of study
Main feature(s):
- The module provides a prediction of tourist flows in the near future (one week ahead)
- The prediction is based on the analysis of temporal series with long short-term memory networks
Output(s):
Prediction of the following indicators:
- Number of pernoctations in each zone of the specified zoning system
- Number of daily unique visitors of each zone
- Number of hourly unique visitors of each zone The indicators are segmented by type of visitor (resident, national and international visitor), length of stay, nationality, age and gender (only for nationals).
- Integration constraints
Predicted indicators are available via an API.
- Targeted customer(s)
Public administrations and tourism services providers.
- Conditions for reuse
Commercial license (single payment for credits for use) for the access to the indicators generated.
- Confidentiality
- Public
- Publication date
- 22-06-2022
- Involved partners
- Nommon Solutions and Technologies S.L. (ESP)