Abstract: In order to quantitatively describe the influencing factors of self-driving tourists’ choice of berth sharing behaviors in scenic spots, and analyze the parking behaviors of self-driving tourists, scientific and reasonable berth sharing planning strategies of scenic spots can be formulated. Through Logistic model, this paper establishes a behavioral analysis model of sharing berth selection in tourist scenic spots based on the perspective of parkers. The study shows that: berthing time and walking distance are the most important factors for self-driving tourists to choose to share berths, and their influence degree accounts for 43% and 33% respectively, while income, parking time and parking cost have little influence on their berth selection. In addition, when tourists are more familiar with the traffic conditions around the scenic area and it is more difficult to find a parking space for driving, they will have a stronger willingness to choose a shared berth. Accordingly, measures and suggestions for improving berth sharing planning and improving berth sharing efficiency are put forward.