| Abstract: |
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. |