Abstract
Urban space presents a high-density development direction, together with the fast rhythm of life and work and the unfair distribution of urban green space. These lead to the frequency of busy people coming into contact with park green space in daily life decreases.At the same time, with the increase of traffic jams and commuting distances, more time is spent on roads and congested traffic every year. Studies have shown that street space affects travel mode and perceived resilience of residents, especially street greenscape which plays a positive role in improving the quality of street space, promoting physical activities of residents, affecting psychological and emotional feelings and so on. Street restorative environment is not only of great significance for streetscape design, but also can bring greater health effect to residents and help to regulate public negative emotions and maintain mental health. This is of great practical significance to the psychological adjustment of the public and the adjustment of the mentality during the COVID-19 outbreak. At present, research on the emotional regulation of street green landscape mainly depend on human eye-level street view pictures or self-taken panoramic pictures to explore the relationship between street landscape elements such as greening quality, green vision rate, canopy coverage and human emotional changes. The existing problem is that research mainly focus on the pedestrian perspective, while ignoring the demand differences of other street users, and lack the consideration of drivers, passengers and riders. This study uses the methods of eye movement analysis, questionnaire and mathematical statistics by recruiting volunteers, combined with emotion measurement scale to analyze the emotional regulation of street green landscape under different travel modes. The research takes the downtown of Hangzhou as the study area. Firstly, the environmental characteristic data of typical streets in Hangzhou are obtained through the street view map. Secondly, we extract the plant configuration structure and plant species of different street space, as well as the green vision rate of trees, shrubs and herbaceous plants from different perspectives of travel behavior, and summarize the green landscape system of Hangzhou streets. Considering the difference of travel speed and viewing angle of different travel modes, the green landscape of typical street is filmed into several videos of different duration. Finally, the regulation results of street green landscape on emotion are obtained through eye movement analysis and emotion scale investigation. The results show that there are significant differences in the emotional regulation effect of street green landscape under different travel modes, and the determinate factors are green looking ratio, planting configuration, travel mode and commuting time. Afterward, this study puts forward street green space design strategies from the perspective of emotional regulation. The vegetation coverage, planting configuration, planting species and vertical structures of street green space are suggested. The results are helpful to realize the street green space design with the collaborative participation of pedestrians, cyclists, drivers and passengers, and provide guidance for urban planners and landscape designers.
