Headway Deviation Effects on Bus Passenger Loads: Analysis of Tri-Met’s Archived AVL-APC Data
Principle Investigators:
James Strathman, Portland State University
Thomas J. Kimpel, Portland State University
Project objective
The proposed project has two principal objectives: 1) to evaluate transit service standards as they apply to scheduling, level of service, and stop spacing decisions; and 2) to develop a relational framework incorporating the interdependencies among service standards and opportunities for using archived AVL-APC data for monitoring and analysis.
Abstract
In this paper we empirically analyze the relationship between transit service headway deviations and passenger loads, using archived data from Tri-Met’s automatic vehicle location and automatic passenger counter systems. The analysis employs two-stage least squares estimation to account for the simultaneous relationship between headway deviations and loads. Controlling for the effects of passenger activity on delay, the results indicate that the observed incidence of excess passenger loads is systematically attributable to deviations from scheduled headways. In turn, analysis of the causes of headway deviations served to identify possible operations control actions that would improve service regularity and, consequently, reduce incidences of overloading and forestall the need for additional service.
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