On-demand Transit

News

Media Release, Workshop and Seminars:

Jan 08, 2023 - The 25th COTA TRP winter symposium

Presentations:

Tang, Y. & Tasneem, Z. (2024). Spatial impacts of on-demand transit service on neighborhood economy and ridership. Transit Data 2024 conference. London, England.
Tang, Y. & Tasneem, Z. (2023). Evaluating the impacts of on-demand transit service on ridership. WCTR2023 conference. Montreal, Quebec.

Publications:

Tang, Y., Abdullah, D., Adewuyi, A., Luhning, N., & Bhalla, S. (2024). What Can We Learn from On-Demand Transit Services for Ridership? A Case Study at the City of Regina, Canada. CSCE conference 2022. DOI: 10.1007/978-3-031-34027-7_49

Research

Project Title: Human factors and operation strategies for on-demand transit services in urban and suburban communities

The project will explore human factors, theories, system modelling and strategies related to on-demand transit (ODT). Without sufficient knowledge of human and operation impacts, ODT may also induce costly and less sustainable systems.

The research project is funded by SSHRC

Research Motivation

The need for ODT arose from the lack of efficiency in public transit.

Public transit services can be:

Cost ineffective, especially for connectivity and service frequency

Tiring and unproductive trips with excessive waiting times

Inflexible and affect quality of life for transit users

with headway as large as 30 minutes to 1 hour

Research Objectives

To develop a scalable framework of empirical analyses to evaluate ODT impacts on ridership at aggregate level and travel choices at disaggregate levels with urban community case studies

To identify and quantify the similarity and difference of human behaviors and performance of ODT in urban and suburban communities capturing the negative or positive impacts and the sensitivity.

To develop theories, mathematical models and solutions methods for both short-term optimal operations and long-term network management of ODT for travel times, ridership and connectivity.

Research Findings