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| Indexado |
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| DOI | 10.1007/S10994-023-06499-3 | ||||
| Año | 2024 | ||||
| Tipo | artículo de investigación |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
Futbol Club Barcelona operates the largest stadium in Europe (with a seating capacity of almost one hundred thousand people) and manages recurring sports events. These are influenced by multiple conditions (time and day of the week, weather, adversary) and affect city dynamics-e.g., peak demand for related services like public transport and stores. We study fine grain audience entrances at the stadium segregated by visitor type and gate to gain insights and predict the arrival behavior of future games, with a direct impact on the organizational performance and productivity of the business. We can forecast the timeline of arrivals at gate level 72 h prior to kickoff, facilitating operational and organizational decision-making by anticipating potential agglomerations and audience behavior. Furthermore, we can identify patterns for different types of visitors and understand how relevant factors affect them. These findings directly impact commercial and business interests and can alter operational logistics, venue management, and safety.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Serra-Burriel, Feliu | - |
Hemav Technol SL - España
Hemav Technology SL - España |
| 2 | Delicado, Pedro | - |
Univ Politecn Cataluna - España
Universitat Politècnica de Catalunya - España |
| 3 | Cucchietti, Fernando M. | - |
Barcelona Supercomp Ctr - España
Centro Nacional de Supercomputación - España |
| 4 | Graells-Garrido, Eduardo | Hombre |
Universidad de Chile - Chile
|
| 5 | Gil, Alex | - |
FC Barcelona - España
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| 6 | Eguskiza, Imanol | - |
FC Barcelona - España
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| Fuente |
|---|
| European Union |
| Agencia Estatal de Investigación |
| Horizon 2020 Framework Programme |
| Spanish Agencia Estatal de Investigacion |
| Springer Nature |
| Agencia Estatal de Investigacin |
| Agradecimiento |
|---|
| The authors would like to thank Irene Meta for the help making the Camp Nou schema, Guillermo Marin for the help and insights provided to make the visualizations, and Victor Paradis for the help editing. |
| Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under the IoTwins Project (Grant agreement no. 857191). Pedro Delicado and Feliu Serra-Burriel would like to thank the Spanish Agencia Estatal de Investigación for the Grant PID2020-116294GB-I00. |