EXPLORING THE ATTRACTION OF FLOWERS IN URBAN PARKS IN SHANGHAI: AN ANALYSIS OF FLOWER-RELATED SOCIAL MEDIA DATA

Flowers play a significant role in urban parks, yet their impact on visitor attraction remains underexplored.In this study, 14 parks in Shanghai were selected as research sites, and a social media data analysis model was established using data from the Weibo platform.The model includes data collection, cleaning, extraction, and analysis to assess the attractiveness of flowers to park visitors.The key findings are as follows: (1) Based on flower-related data, parks can be categorized into single-peak, double-peak, and multi-peak types.(2) Trends in overall and flower-related social media data generally align, although overall social media data often exhibits sharper peaks.(3) Fluctuations in the proportion of flower-related data vary across different time scales.Over longer periods, the proportion correlates with the flowering seasons, while on shorter time scales, it may contrast with overall data trends.(4) A comprehensive strategy that emphasizes signature flowers while promoting floral diversity is recommended to maximize visitor engagement and maintain year-round ecological balance.