【摘要】 以交通为导向的城市发展模式(TOD)在激发区域活力和促进可持续发展中发挥着重要作用，随着新数据环境的发展，基于地铁站域空间的城市网络活力是数字化转型背景下的重要议题。以地铁站域作为研究对象，利用社交媒体、街景图片、建筑环境特征等多源数据，基于XGboost-SHAP方法，探索建成环境特征与城市网络活力之间的非线性关系，为在TOD模式下激活站域空间活力、优化城市地铁站域空间及周边环境提供科学依据。更多还原

【Abstract】 Transit-oriented development plays an important role in stimulating regional vitality and promoting sustainable development. Along with the development of new data environment, urban online vitality within subway station vicinity area is an important issue in the context of digital transformation. Therefore, taking the subway station vicinity area as the research object, this work explores the nonlinear relationship between built environment factors and urban online vitality with social media, street view pictures, building environment characteristics, and other multi-source data, based on the XGboost-SHAP method. This work provides a scientific basis for activating urban vitality and optimizing quality of the subway station vicinity area in TOD mode.更多还原