MIS Speaker's Series: Liangfei Qiu

Sunset over McClelland Hall


1 p.m. to 2 p.m. Jan. 21, 2022



Liangfei Qiu, Associate Professor, University of Florida.

Title: How Uber Is Shaping Public Transit System: A Counterfactual Estimator Approach

Abstract: The new sharing economy model has introduced a dramatic, disruptive impact on the traditional industries by matching the demand and supply in real-time. In this paper, we examine how the entry of Uber, a ride-sharing services digital platform, brings new disruptive changes in public transportation operations. Significant debate has surrounded whether the new ride-sharing model siphoned riders from public transit or made public transit feasible for more riders, but no consensus has been reached. One reason could be that the commonly used difference-in-differences empirical strategy fails to account for time-varying unobserved confounders. To address this issue, we introduce a class of counterfactual estimators (CEs) to strengthen our causal identification and perform diagnostic tests to validate model assumptions for each CE. A significant drop in passenger trips with buses is found after Uber entry from both the conventional two-way fixed effects model and the counterfactual estimators. Moreover, we provide empirical evidence that the entry of Uber has not significantly affected public demand response transportation, which indicates that Uber is not directly competing with other transportation services that aim to solve the “last mile problem.” Last, our additional analyses suggest that the effect of Uber entry is not uniform for different urban areas. All these empirical findings can be coherently explained in our framework of the substitution effect of Uber.

Bio: Liangfei Qiu is the PricewaterhouseCoopers Associate Professor and University Term Professor at Warrington College of Business, University of Florida. He also serves as the Ph.D. coordinator for the Department of Information Systems and Operations Management. His current research focuses on social technology (social networks, social media, and prediction markets), platform technology (sharing/gig economy, e-commerce platforms, and healthcare analytics), telecommunications technology, and Fintech. His research has appeared in premier academic journals, including Information Systems Research, MIS Quarterly, Production and Operations Management, Journal of Management Information Systems, and Decision Support Systems. He received the INFORMS Information Systems Society Sandy Slaughter Early Career Award and Association for Information Systems (AIS) Early Career Award in 2019. He is currently an Associate Editor for MIS Quarterly, a Senior Editor for Production and Operations Management, and an Associate Editor for Decision Support Systems.


Event Contacts