Statistical Complex Analysis of Taxi Mobility in San Francisco

Abstract

English: The recent developments in technology of movement tracking devices such as Global Positioning (GPS), together with the increasing availability of consistent data bases, have lately given rise to the study of human mobility patterns in different environments. In this work a statistical characterization of real mobility GPS high-frequency data from taxis in San Francisco is performed. The di_erent patterns taxi drivers and customers follow are shown through comparing behavior when cabs are empty or full and the information is presented using a weighted directed complex network metric, from which the author obtains some topological information such as correlations between nodes, assortativity and clustering. Some adapted measurements to weighted nets are presented together with some remarks to support the need for new tools for assortativity classification.