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.

巴塞罗那足球俱乐部运营着欧洲最大的体育场（可容纳近十万人）并定期举办体育赛事。这些受到多种条件（一周中的时间和日期、天气、对手）的影响，并影响城市动态，例如公共交通和商店等相关服务的高峰需求。我们研究体育场内按访客类型和登机口划分的细粒度观众入口，以获得洞察并预测未来比赛的到达行为，这对企业的组织绩效和生产力产生直接影响。我们可以在开球前 72 小时预测到达登机口的时间，通过预测潜在的聚集和观众行为来促进运营和组织决策。此外，我们可以识别不同类型访客的模式，并了解相关因素如何影响他们。这些发现直接影响商业和商业利益，并可以改变运营物流、场馆管理和安全。