64: Quantifying the Causal Effect of Pricing Interventions on Metro Ridership in the Post-Covid Period
Nan Zhang
First Author
Imperial College London
Nan Zhang
Presenting Author
Imperial College London
Wednesday, Aug 6: 10:30 AM - 12:20 PM
2250
Contributed Posters
Music City Center
The Covid-19 pandemic has brought about shifts in activity patterns and travel behaviours, resulting in fluctuations in mass transit ridership. There were significant declines in ridership across all systems during lockdowns. However, after the lifting of travel restrictions, some metro systems have implemented fare reductions to stimulate demand in response to sluggish ridership growth. This study aims to conduct a causal analysis of the impact of pricing policies on ridership recovery in urban metro systems during the post-pandemic period. Regression discontinuity design and synthetic control methods are employed to estimate the average treatment effect of fare reductions, which serves as the basis for deriving price-demand elasticities. To ensure the robustness of our findings, Placebo tests are conducted to validate the results.
Causal inference
urban metro
fare policies
post-pandemic
Main Sponsor
Transportation Statistics Interest Group
You have unsaved changes.