A time-series analysis of gasoline prices and public transportation in US metropolitan areas
mode - bus, mode - rail, place - north america, ridership - behaviour, ridership - drivers
Travel cost, Time-series analysis, Mass transit, Fuel cost, Travel behavior
This research examines the temporal aspects of the relationship between public transportation and gasoline prices in US cities from January 2002 through March of 2009. Data are collected at monthly intervals for transit ridership, service, gasoline price, and price variability for 33 metropolitan areas. These data are analyzed using time-series regression to estimate the presence of lagged effects of price and service on transit patronage.
The results indicate a small but consistently significant amount of transit ridership fluctuation is due to gasoline prices. Repeated lags of gasoline prices of up to 13 months are influential on ridership. Every 10% increase in gasoline prices can lead to ridership increases of up to 4% per significant lag for bus and 8% for rail. There is considerable variability across cities in the magnitude of the effect on transit ridership, the impact by mode, and temporal variability. The results are discussed in light of their implications for transit operations, using cost to influence travel behavior, and transportation sustainability.
Permission to publish the abstract has been given by Elsevier, copyright remains with them.
Lane, B.W. (2011). A time-series analysis of gasoline prices and public transportation in US metropolitan areas. Journal of Transport Geography, Article in Press, Corrected Proof.