ABSTRACT: Nowadays, China's urban construction has begun to shift from focusing on "quantity" to improving "quality", and the spatial quality of urban underground streets is becoming one of the focuses of current urban design work. However, it has been found that green plants in underground spaces can improve landscape vision. The purpose of this study is to quantitatively analyze the impact of green plant configuration in underground streets on spatial visual health. In this experiment, 40 subjects were invited to observe 10 scenes, and the influence of green plant configuration on spatial visual health was studied by subjective questionnaire method and eye movement intelligent interactive analysis. The results show that the presence of green plants can significantly improve the visual health of the underground street space; when the green viewing rate is greater than 2.8%, the space begins to become active under the action of green plants; when the green viewing rate is too large, the underground commercial street will be affected. Visual health is significantly reduced; therefore, the optimal green vision rate for underground streets is around 8%. The analysis of eye movement intelligent interaction data shows that with the increase of green vision rate, the order of gaze points falling on green plants is getting higher and higher; the total time required to enter the area of interest for the first time is shorter; The time and frequency of planting the area is also more.

underground street;Eye movement analysis;Visual health; Green rate