聖塔非研究所

使用數據驅動的優化方法制定基於證據的體育資助政策

2024-12-31 · 已發表論文 · 更新 2026/08/30 下午12:48

摘要 Regular physical activity is essential for the healthy development of children, and sports clubs are one of the main drivers of regular exercise. Previous studies have demonstrated that p…

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論文資訊

  • 類型:已發表論文
  • 日期:2024-12-31

摘要

Regular physical activity is essential for the healthy development of children, and sports clubs are one of the main drivers of regular exercise. Previous studies have demonstrated that public subsidies can increase participation rates in sports clubs. The effectiveness of funding in increasing participation rates depends on multiple factors, such as geographic location, the size of the sports club, and the socio-經濟 conditions of the 族群. Here, we show how an optimal allocation of government funds to sports facilitators (e.g., sports clubs) can be achieved using a data-driven simulation model that maximizes children's access to sports facilities. We compile a dataset for all 1,854 football clubs in Austria, including estimates for their budgets, geolocations, tallies, and the age profiles o

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