Spatial-Temporal Travel Behavior Analysis of Transit Passengers Based on Massive Smart Card Data and GPS Data

In recent years, the massive amount of public transportation data has become a comprehensive and reliable data source for studying the characteristics of bus travel behavior. Based on smart card data, GPS data, and location information of bus stations in Xi’an, this paper processes and analyzes these data and deduces boarding sites using data fusion technology; then it establishes a judgment model for alighting sites according to the structure and features of the passengers’ travel chain. After getting the boarding and alighting sites, this paper fully describes the spatial and temporal distribution characteristics of individual bus trips which take high-tech zones as the main origin or destination. This is critical to traffic operation management, which can also provide data support for the optimal adjustment of bus lines and the daily scheduling of buses as well as bus travel organization.