64: Quantifying the Causal Effect of Pricing Interventions on Metro Ridership in the Post-Covid Period

Daniel J. Graham Co-Author
Imperial College London
 
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.

Keywords

Causal inference

urban metro

fare policies

post-pandemic 

Main Sponsor

Transportation Statistics Interest Group