Analysis of the reverse trip directions of overnight workers from smart card data

Many overnight workers rely on public transit for commuting to work at night and from work in the morning. However, it is challenging to understand overnight workers’ travel patterns between origins and destinations due to their reverse travel directions compared to traditional daytime workers. This research proposes a methodology to identify the overnight workers’ travel based on analyzing smart card data. The research explores individuals’ smart card data, covering about thirteen million peoples’ usages in Seoul, South Korea. We will analyze the frequency of trips, the average duration of work hours, work hours deviation and arrival time at work regularity to create criteria to find overnight workers’ trips. This data could help transit authorities to offer enhanced transit services by improving the frequency and span of service at midnight.

Faculty Supervisor:

Yong Hoon Kim

Student:

Partner:

University of Seoul

Discipline:

Engineering

Sector:

Transportation (excluding aerospace); Public Service, Policy, and Governance; Information and Communications Technology

University:

University of Windsor

Program: