Information-based Public Transport Control Strategy Study Under Pandemic Situation

Health and safety are key concerns during the current public health crisis to individuals who rely on public transit. To lessen the risk of those individuals, the research aims to develop an information-based control strategy using real-time travel information as a meaningful non-pharmaceutical intervention strategy in the public transportation sector. To achieve this goal, the proposed research has four distinct but related parts that contribute to a safer and resilient public transportation system. First, this research will measure the risk level of infection. Second, the research will explore how information and travel recommendations change the traveler’s choice. Third, we will develop a realistic design of a real-time framework to control the target level of density by providing real-time travel information. Finally, we will take an integrated, user-centered approach based on advanced gamification design techniques to increase transit user’s compliance rate with the travel recommendation. The proposed models can assist in developing the effectiveness of continuing various policies to minimize the spreading of COVID-19.

Faculty Supervisor:

Yong Hoon Kim

Student:

Partner:

University of Seoul

Discipline:

Engineering

Sector:

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

University:

University of Windsor

Program: