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

Abstract EN

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.