【目的】探析城市公园游憩活力特征及其影响因素,为城市公园效益提升提供依据。【方法】基于实时用户数据集(RTUD)、互联网地图出行数据、第七次人口普查数据等多源数据,利用最优参数地理探测器(OPGD)和多尺度地理加权回归(MGWR)方法,分析南京江南主城区公园游憩活力时空特征及其影响因素。【结果】空间上,南京江南主城区公园游憩活力呈现市中心高、边缘低的空间格局;时间上,景区型公园在休息日游憩活力更高,休息日游憩活力变化较工作日更规律。双因子交互作用对公园游憩活力解释力较单因子更高,公共交通设施是工作日公园游憩活力的主导影响因素,公园娱乐设施是休息日公园游憩活力的主导影响因素;公园游憩活力影响因素作用效果存在空间异质性,总体表现为中心-边缘差异和南-北差异。【结论】应优化城市公园时空管理,做好公园与周边交通衔接,为不同规模公园做好内外设施配套及多因素交互整合。

【Objective】An analysis of the characteristics and influencing factors of urban park recreational vitality can provide a basis for enhancing the benefits of city parks.【Method】Utilizing a multi-source dataset that includes real-time user dataset (RTUD), internet map travel data, and the seventh census data, this study employs the optimal parameters-based geographical detector (OPGD) and multiscale geographically weighted regression (MGWR) methods to analyze the spatiotemporal characteristics and influencing factors of recreational vitality in the Jiangnan Main City (Nanjing).【Result】(1) Spatially, the recreational vitality of parks exhibits a pattern of high central intensity with lower edges. (2) Temporally, scenic parks demonstrate higher recreational vitality on rest days, with more regular changes compared to workdays. (3) Overall, the interaction of dual factors provides a higher explanatory power for recreational vitality than single factors, with public transportation facilities being the dominant influencing factor on workdays, and park entertainment facilities on rest days. (4) The main influencing factors of park recreational vitality show spatial heterogeneity, generally characterized by central-peripheral and south-north differences.【Conclusion】Based on these findings, urban park planning should optimize temporal-spatial management, enhance transportation connectivity, provide tailored facilities for different park scales, and integrate multi-factor interactions.