01551087

Component

https://doi.org/10.3141/2533-10

Reliability is cited as a key aspect of service quality, but many of the indicators in use today do not measure reliability from the user’s perspective. A review of earlier work on transit user behavior concluded that the traveler’s perspective of reliability was driven by punctuality in arriving at the destination, short waiting times at the origin stop, and consistent wait and travel times. Twenty indicators were assessed, but none were well suited to capturing all of these elements of reliability. A new measure, journey time buffer index (JTBI), was therefore proposed; the index used estimates of wait times at bus stops while capturing variability in wait and travel times that tended to increase the disutility of transit travel. Alternative formulations were developed for short and long headway service, and the new indicator was applied to the London Transit Commission’s bus network in London, Ontario, Canada. This procedure demonstrated that the JTBI was better suited to identifying the factors contributing to unreliable service than metrics that focused on a single component of reliability. A linear regression analysis also highlighted that route length, stop spacing, time of day, route orientation relative to the city center, and passenger load all influenced reliability although the low adjusted R2 value of .298 showed that some major causes of reliability were not captured by the model.

01590197

15-1926

English

pp 91–99

2015

Transportation Research Record: Journal of the Transportation Research Board

9780309369381

Print

Figures (1) ; References (30) ; Tables (1)

Bus transit; Case studies; Customer satisfaction; Performance measurement; Quality of service; Reliability; Schedule maintenance; Travel time; Waiting time

London (Canada)

Operations and Traffic Management; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Dec 30 2014 12:42PM

• Analytical Five-Phase Bus Rapid Transit Traffic Flow Model
• Cost–Benefit Analysis of Rural and Small Urban Transit in the United States
• Effects of Multimodal Operations on Urban Roadways
• Exploring Multiplier Effects Generated by Bus Lane Combinations
• How Land Use Affects Station Access Behaviors of Bus Rapid Transit Passengers in Bangkok, Thailand
• Improving Veterans’ Mobility in Small Urban and Rural Areas
• Integrated Real-Time Transit Signal Priority Control for High-Frequency Segregated Transit Services
• Measuring Bus Stops Toward a Sustainable Urban Environment
• Method for Assessing Bus Delay in Mixed Traffic to Identify Transit Priority Improvement Locations in Cambridge, Massachusetts
• Modeling Bus Travel Time Reliability with Supply and Demand Data from Automatic Vehicle Location and Smart Card Systems
• Modeling Diesel and Hybrid Bus Fuel Consumption with Virginia Tech Comprehensive Power-Based Fuel Consumption Model: Model Enhancements and Calibration Issues
• Optimal Synchronized Transfers in Schedule-Based Public Transport Networks Using Online Operational Tactics
• Queue Jump Lane, Transit Signal Priority, and Stop Location Evaluation of Transit Preferential Treatments Using Microsimulation
• Understanding Platform Overcrowding at Bus Rapid Transit Stations
• Visioning the Bus System of the Future: Stakeholders’ Perspective
• Worker Attitude Toward Bus Rapid Transit: Considering Dhaka, Bangladesh