Childhood obesity rates in the United States have surged in recent years. Previous research on children's obesity often lacked comprehensive data on physical activities, relying mainly on limited surveys. Children's daily behavior reflects their physical environment but has often been overlooked as a factor affecting their physical well-being.

This study aims to analyze the influence of the physical environment on children's physical activities and obesity rates using data analysis, incorporating semantic segmentation and machine learning. The findings inspired me to propose urban planning recommendations to combat the growing childhood obesity epidemic. Arkansas, known for its high childhood obesity rate in the U.S., serves as a case study.