Description

This paper analyzes urban rail-fare elasticity and compares the results across four California transit systems. A method of Internet search is adopted to collect monthly transit-fare records from 2002 to 2013. This paper contributes towards improving demand modeling for public transit using more precise and monthly data and applies econometric techniques involving autoregressive integrated moving average (ARIMA) and panel data models. Results show that demand for public transit in California is very inelastic. Any ridership promotion policy may have a heterogeneous impact across transit systems.

Publication Date

5-1-2018

Publication Type

Report

Topic

Transit and Passenger Rail

MTI Project

1736

Keywords

Public transit, Fare elasticity, ARIMA, Panel data models

Disciplines

Transportation

Additional Files
1736_RB_Liu-Demand-Modeling-California-Rail-Transit.pdf (605 kB)
Research Brief
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