Investigation of the influence mechanism of park usage intensity and flexibility based on multi-source data: a case study of pocket parks in Beijing

Abstract

This study selected 24 highly popular pocket parks in Beijing and conducted field research to collect data on park use during weekdays and weekends. SPSS correlation analysis and the development of a decision tree model were used to rank the key factors that influence the flexibility and intensity of park use on weekdays and weekends. The findings indicated that the key factors impacting the flexibility and intensity of park use on weekdays, in order of importance, are seat density, recreation facilities density, land use entropy (LUE), distance to a public toilet, POI density, and 5-min accessibility. On the other hand, the main factors influencing the flexibility and intensity of park use on weekends are 5-min accessibility, seat density, POI density, fitness facilities density, distance to the bus stop, distance to a public toilet, and life service facilities density. These findings offer valuable insights for the study of pocket parks in other cities.