01127189

Component

https://doi.org/10.3141/2111-18

http://scholar.google.com...rout&publication_year=2009

In recent years, the use of performance measures for transit planning and operations has gained a great deal of attention, particularly as transit agencies are required to provide service under increasing demand and with diminishing resources. The widespread application of the technologies of intelligent transportation systems to transit encourages automating the generation of comprehensive performance measures. In Portland, Oregon, the local transit provider, Tri-County Metropolitan Transportation District of Oregon (TriMet), has been on the leading edge of the transit industry since it implemented its bus dispatch system (BDS) in 1997. The BDS comprises automatic vehicle location on all buses, a radio communications system, automatic passenger counters on most vehicles, and a central dispatch center. Most significant, TriMet developed a system to archive all its stop-level data, which are then available for conversion to performance indicators. In the past decade, TriMet has used this system extensively to generate performance indicators through monthly, quarterly, and annual reporting. TriMet generates a wide range of performance indicators, yet an opportunity remains to explore metrics beyond general transit performance measures (TPMs). On the basis of an analysis of 1 year of archived BDS data for all routes and stops, the power of using visualization tools to understand the abundance of BDS data is demonstrated. In addition, several statistical models are generated to demonstrate the power of statistical analysis in conveying valuable and new TPMs beyond what is currently generated at TriMet or in the transit industry in general. It is envisioned that systematic use of these new methods and TPMs can help TriMet and other transit agencies improve the quality and reliability of their service.

01145967

09-2188

English

pp 158-168

2009

Transportation Research Record: Journal of the Transportation Research Board

9780309142595

Print

Figures (6) ; Maps (1) ; References (25) ; Tables (4)

Automatic data collection systems; Automatic vehicle location; Data banks; Dispatching; Intelligent transportation systems; Metrics (Quantitative assessment); Passenger counting; Performance measurement; Public transit; Quality of service; Radio; Statistical analysis; Visualization

Tri-County Metropolitan Transportation District of Oregon

Performance indicators; Service reliability; Statistical models

Portland (Oregon)

Data and Information Technology; Public Transportation; I10: Economics and Administration

TRIS, TRB, ATRI

Jan 30 2009 6:32PM

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• Assessing a Model for Optimal Bus Stop Spacing with High-Resolution Archived Stop-Level Data
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• Cost Contingencies, Development Basis, and Project Application
• Decision Support System for Selection of Project Delivery Method in Transit
• Development of Dynamic Transit Signal Priority Strategy
• Development of Real-Time Optimal Bus Scheduling and Headway Control Models
• Do Transit Users Just Wait for Buses or Wait with Strategies? Some Numerical Results That Transit Planners Should See
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• Emergent Curbside Intercity Bus Industry: Chinatown and Beyond
• Improving Bus Travel Times with Passive Traffic Signal Coordination
• Measuring Public Transport Connectivity Performance Applied in Auckland, New Zealand
• Optimal Zone Design for Feeder Transit Services
• Performance Measurements on Mass Transit: Case Study of New York City Transit Authority
• Planning for Bus Rapid Transit in a Single Dedicated Bus Lane
• Planning for Bus-on-Shoulders Operations in Northeastern Illinois: A Survey of Stakeholders
• Road Capacity at Bus Stops with Mixed Traffic Flow in China
• Scheduling Buses to Take Advantage of Transit Signal Priority
• Taxi Vacancy Rate, Fare, and Subsidy with Maximum Social Willingness-to-Pay Under Log-Linear Demand Function
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