Abstract: In view of the problem of urban traffic congestion and traffic accidents caused by cabs stopping at will, it is very necessary to reasonably delineate the fixed parking areas for cabs. Using the cab GPS(Global Position System) data and crawled POI ( Point of Interest) data in the actual area of Chengdu, DBSCAN (Density-Based Spatial Clustering of Application with Noise) clustering algorithm is used to cluster the pick-up and drop-off points to get the hotspots of cabs, the types of hotspots are delineated according to the types of POIs, and the travel demand of cabs at different times is analyzed, so as to delineate the fixed parking area of cabs. The results of the study show that the setting of the fixed parking area of cabs is related to the travel demand of travelers, so that the fixed parking area is set in the area where the travel demand of travelers is high, which can satisfy the different travel demands of travelers. The method of combining cab passenger hotspots and crawling POI data to delineate fixed parking areas is highly practical and can provide theoretical and practical significance in urban transportation safety. 

Key words:  , pick-up and drop-off points, density-based spatial clustering of application with noise(DBSCAN) clustering algorithm, passenger-carrying hotspot areas, point of interest(POI) data analysis, fixed parking areas