利用科学卫星数据分析体育设施与体育教育区域差异
Analysis of Regional Disparities of Location of Sports Facilities and Sports Education Using Scientific Satellite Data
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中文总结 AI 辅助
本研究利用夜间灯光卫星数据分析体育设施空间分布、健身产业演变及体育可及性区域差异，发现公共与私营体育设施分布模式显著不同。
中文摘要 AI 辅助
本手稿是原以日语发表论文（Otomo，2024）的英文翻译及扩展版本。随着信息通信技术（ICT）和数据分析技术的进步，在空间信息科学中处理大规模数据集（大数据）已成为可行。因此，正在建立从空间数据中生成新效用价值的基础设施。此外，全国性举措正在积极推动开放数据的使用——开放数据是指允许二次使用的条款下提供的公共信息。然而，在发展中地区和特定市政当局，地方统计数据仍然稀缺、不可靠或难以获取。此外，长期存在对标准宏观经济指标在进行跨区域或国际比较时固有局限性的担忧。与此同时，高频卫星数据已广泛可获取。在各种观测产品中，夜间灯光数据因其多功能应用而受到广泛关注。通常，夜间灯光辐射与城市化相关。先前研究表明，人口较多且商业发展程度较高的区域显示出更高的辐射，而公共基础设施——如卫生系统和医疗设施——与夜间灯光强度相关性很小（Otomo，2021）。基于这些发现，本文分析了夜间灯光数据与体育设施空间分布、健身产业发展演变以及体育可及性区域环境差异之间的关系。分析证实，体育设施的空间分布模式在公共部门和私营部门之间存在显著差异。
英文摘要
This manuscript is an English translation and extended version of a paper originally published in Japanese (Otomo, 2024). With the advancement of information and communication technology (ICT) and data analysis techniques, handling massive datasets (big data) has become feasible in spatial information science. Consequently, infrastructure is being established to generate new utility value from spatial data. Furthermore, nationwide initiatives are actively promoting the use of open data - public information provided under terms allowing secondary usage. However, in developing regions and specific municipalities, local statistical data remain scarce, unreliable, or difficult to acquire. Additionally, long-standing concerns exist regarding the inherent limitations of standard macroeconomic indicators when performing cross-regional or international comparisons. Meanwhile, high-frequency satellite data has become widely accessible. Among various observational products, nightlight data has attracted significant attention due to its versatile applications. Generally, nightlight radiance correlates with urbanization. Prior work indicates that areas with larger populations and higher commercial development display higher radiance, whereas public infrastructure - such as sanitation systems and healthcare facilities - shows little correlation with nightlight intensity (Otomo, 2021). Building on these findings, this paper analyzes the relationship between nightlight data and the spatial distribution of sports facilities, the evolution of the fitness industry, and regional environmental disparities in sports access. The analysis confirms that the spatial distribution patterns of sports facilities differ significantly between the public and private sectors.
