01475225

Component

https://doi.org/10.3141/2351-14

http://scholar.google.com...eidy&publication_year=2013

Dwell time, the time a transit vehicle spends stopped to serve passengers, contributes to the total reliability of transit service. Dwell time is affected by factors such as passenger activity, bus crowding, fare collection method, driver experience, and time of day. The types of effects crowding can have on dwell time are debatable because of its interaction with passenger activity and inaccuracies in its calculation. Different payment methods also have an effect on dwell time. This debate can be linked to the absence of appropriate data that can actually capture the real effects of these variables. This research attempts to determine the influence of crowding and fare payment on dwell time through manual data collection. The study was conducted along three heavily used bus routes in the TransLink system in Vancouver, British Columbia, Canada. Multiple regression dwell time models are performed by using a traditional model and a new expanded model with the additional details that manually collected data provide. The traditional model overestimated dwell times because of a lack of detail in fare payment and crowding, while the expanded model showed that crowding significantly increased dwell time after approximately 60% of bus capacity was surpassed. Fare payment methods had various positive effects on dwell time, with different magnitudes. This research can help public transit planners and operators develop better guidelines for fare payment methods as well as policies associated with crowding.

01517273

13-1102

English

pp 124–132

2013

Transportation Research Record: Journal of the Transportation Research Board

9780309286992

Print

Figures (3) ; Maps; References (11) ; Tables (6)

Bus transit; Crowds; Dwell time; Fare collection; Mathematical models; Passengers; Policy making; Public transit; Traffic congestion; Urban transportation policy; Vehicle capacity

Vancouver (Canada)

Operations and Traffic Management; Public Transportation; I73: Traffic Control

TRIS, TRB, ATRI

Feb 5 2013 12:19PM

• Benchmarking Disaggregate Customer Satisfaction Scores of Bus Operators in Different Cities and Countries
• Benefits of Real-Time Transit Information and Impacts of Data Accuracy on Rider Experience
• Calibration of a Public Transport Performance Measurement System for Switzerland
• Doing Business Around Transit Corridors: Survey Research on Business Perceptions of Fixed-Guideway Transit Projects
• Dynamic System Optimal Routing in Multimodal Transit Network
• Effect of Parking Charges at Transit Stations on Park-and-Ride Mode Choice: Lessons Learned from Stated Preference Survey in Greater Vancouver, Canada
• High-Load Transit Line Passenger Transmission and Productiveness Efficiencies
• How Close Is Close Enough? Statistical Equivalence of Onboard Versus Online Surveys of Transit Customers
• Intraurban Rail Access: Policy Implications of Five Revealed Perspectives from a Q-Sorting Exercise in Three Australian Cities
• Large-Scale Transit Schedule Coordination Based on Journey Planner Requests
• Multiobjective Optimization Model for Transit Fleet Resource Allocation
• Passenger-Focused Management Approach to Measurement of Train Delay Impacts
• Passengers’ Perception of and Behavioral Adaptation to Unreliability in Public Transportation
• Pedestrian Route Choice of Vertical Facilities in Subway Stations
• Perspectives of the Operational Performance of Public Transportation Agencies with Data Envelopment Analysis Technique
• Potential of Low-Frequency Automated Vehicle Location Data for Monitoring and Control of Bus Performance
• Unbanked Transit Riders and Open Payment Fare Collection