Abstract: In order to deeply analyze the significant factors that affect the behavior choice of parking space sharing participants and improve the utilization rate of parking spaces in residential areas, based on the differences and complementarities of parking demand peaks between residential areas and adjacent commercial areas, parking services, personal attributes, parking information and choice intention were selected as latent variables, parking costs, walking distance and searching time were selected as observation variables, the questionnaire of sharing willingness about parking spaces supply and demand sides was designed respectively. Using the combination of online survey and offline visit, 718 effective questionnaires were obtained. The structural equation model was used to systematically analyze the choice behavior path of parking spaces supply and demand, and obtain the main influencing factors of sharing intention. The results showed that parking service had the most significant impact on the use of berths. And the parking cost, walking distance and searching time were the main influencing factors. For berth suppliers, parking service had the most significant impact on sharing intention, and parking revenue was the main factor.