Community Bus Demand Characteristics Analysis Based on Smart Card Data and GPS Data

In recent years, the community bus that plays an essential role in public transit system in metropolises has achieved rapid development domestically. It is on the premise that the temporal-spatial distribution characteristics of passenger-flow are confirmed, a proper network planning and operation program is about to make. In this paper, an analytical method for community bus demand is put forward based on Smart-card data and GPS data of public transit. The index of passenger-flow could be calculated, including passenger-flow volume of line section and station through correlation analysis of data. Through data mining of passengers’ records, the difference of passengers demand is analyzed between community bus and Conventional bus. Also, taking the community bus data in Chengdu as example, this paper has verified the rationality and applicability of this method.