This project examines aesthetic features supporting therapeutic urban green space in Shanghai. Urban green space promotes public health by providing a therapeutic opportunity in nature, and its therapeutic impacts have been identified in many cities. Although aesthetic beauty contributes to therapeutic impacts of green space, however, we still know little about features of aesthetic and therapeutic urban green space. Thus, this research analyzes these features by eliciting public preferences in Shanghai and applying a machine learning approach. This research would help policymakers to promote public health by identifying potential features of therapeutic urban green space.