Urban park green space use analysis based on trajectory big data: Experience from a medium-sized city in China.

ABSTRACT: Regular visits to park green space offer remarkable benefits for the physical and mental health of urban residents. Achieving a comprehensive understanding of the utilization across the entire city is a prerequisite for improving the overall utilization rate of park green spaces. Traditional social survey methods are limited by their sample size and time-consuming nature, while methods based on geographic location big data are gaining momentum. This study focuses on Xuchang, a medium-sized city in China, and systematically analyzes the current state and influencing factors of park green space utilization by mining GPS trajectory big data from April 3 to 12, 2022. Results indicate that residents' choices of park green spaces are highly diverse. Approximately 20% of visitors on holidays and

SUBMITTER: Xu S 

PROVIDER: S-EPMC10900791 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature