Street network centrality is calibrated in a multiple centrality assessment model (MCA) composed of multiple measures such as closeness, betweenness, and straightness. By using UNA developed by MIT,the paper will discuss the spatial accessibility of large general hospitals from the perspective of street network centrality. Firstly, the paper examines the street centrality indices in Changchun. Secondly, by creating buffer of every large general hospital, the research will calculating the average value of the street centrality indices (closeness and betweenness), which can be used as the quotas of the spatial accessibility of large general hospitals. Thirdly, the Kriging method is applied to street centralities so that the spatial distribution characteristics of it can be explained. Besides, the relationship between the spatial accessibility of large general hospitals and the distances to Renmin square are showed by correlation coefficient and regression model.Fourthly, all of the street network distance of every large general hospital to Renmin square is divided into eight segments to calculate the average value of the spatial accessibility of large general hospitals, which will be z-standardized. And then the conditions of two spatial accessibility indices of large general hospitals with the change of distances to Renmin square will be compared. Lastly, the spatial accessibility of large general hospitals will be classified into eight types, including H-H-L, H-H-H, H-L-L, H-L-H, L-H-L, L-H-H, L-L-L,L-L-H.