Estimating multimodal transit ridership with a varying fare structure
place - europe, technology - ticketing systems, planning - travel demand management, policy - fares, mode - bus, mode - subway/metro, mode - tram/light rail
Transit demand, Multimodal transit systems, Fare structure, Time-series, High-order serial correlation, Greece
This paper studies public transport demand by estimating a system of equations for multimodal transit systems where different modes may act competitively or cooperatively. Using data from Athens, Greece, we explicitly correct for higher-order serial correlation in the error terms and investigate two, largely overlooked, questions in the transit literature; first, whether a varying fare structure in a multimodal transit system affects demand and, second, what the determinants of ticket versus travelcard sales may be. Model estimation results suggest that the effect of fare type on ridership levels in a multimodal system varies by mode and by relative ticket to travelcard prices. Further, regardless of competition or cooperation between modes, fare increases will have limited effects on ridership, but the magnitude of these effects does depend on the relative ticket to travelcard prices. Finally, incorrectly assuming serial independence for the error terms during model estimation could yield upward or downward biased parameters and hence result in incorrect inferences and policy recommendations.
Permission to publish this abstract has been given by Elsevier, copyright remains with them.
Gkritza, K., Karlaftis, M.G., & Mannering, F.L. (2011). Estimating multimodal transit ridership with a varying fare structure. Transportation Research Part A: Policy and Practice, Vol. 45, (2), Pp. 148-160.