Dealt with in this paper are the techniques for processing data and identifying trips and activities based on GPS travel survey data． In the investigation，by improving the method of stationary points，a method to identify the status based on continuous data segments is proposed，and a trip-activity identification algorithm consisting of three steps，namely dividing status segments，identifying activities and recognizing trips，is designed． Moreover，by setting the minimum dwell time as 4min，the identification of intermediate stops is performed． Finally，a compari-son is made between the results obtained by the proposed algorithm and the travel diaries reported in paper-form travel survey． It is found that the proposed algorithm is effective in identifying trips，activities and intermediate stops with high accuracy，especially the short-time intermediate stops often omitted in the paper-form travel survey．This research significantly enhances the efficiency and accuracy of travel survey and facilitates the development of urban transportation system．