Discovering Public Transit Riders' Travel Pattern from GPS Data: A Case Study in Harbin

Abstract

This paper proposes a public transit riders' travel pattern measuring method based on divided cells and public transit vehicle's GPS data. The method consists of two parts: detecting urban origin and destination areas and measuring the public transit riders' travel pattern. Moreover, a series of indicators are proposed to reflect the public transit riders' travel pattern. A case study is carried out to evaluate the methods, which use the GPS data collected from taxis and buses in Harbin, China. The study is expected to provide a better understanding of public transit riders' travel patterns.