01623280

Component

https://doi.org/10.3141/2652-02

This research considers how one might deduce the set of attractive routes for public transit passengers, as part of a boarding strategy, from passengers’ daily choices of which path to take. From the set of attractive routes (attractive set), a public transit passenger may be assumed to board the first service that arrives at the origin stop. To determine the attractive set, a statistical inference algorithm was developed and tested using a public transit farecard data set. The proposed algorithm was developed from an exact method that investigates the distribution of repeated boarding transactions in a farecard data set and infers the so-called steady-state strategies over the observation period. The advantage of the proposed method is in identifying and eliminating occasional and tried-but-rejected path alternatives recorded during the study period. The method was tested in a case study using 6 months of farecard transactions of regular passengers for multiple major origin–destination pairs in the transit network of Brisbane, Australia. Some behavioral aspects of passengers’ attractive routes are also reported and discussed.

01628042

17-00442

English

pp 8–18

2017

Transportation Research Record: Journal of the Transportation Research Board

9780309441933

Digital/other

Figures (4) ; References (39) ; Tables (2)

Boarding; Fares; Public transit; Route choice; Smart cards; Statistical inference

Brisbane (Australia)

Operations and Traffic Management; Passenger Transportation; Planning and Forecasting; Public Transportation

TRIS, TRB, ATRI

Dec 8 2016 10:04AM

• Applications of Inferred Origins, Destinations, and Interchanges in Bus Service Planning
• Constructing Transit Origin–Destination Matrices with Spatial Clustering
• Estimating Fare Noninteraction and Evasion with Disaggregate Fare Transaction Data
• Estimation of Platform Waiting Time Distribution Considering Service Reliability Based on Smart Card Data and Performance Reports
• Exploratory Method for Practitioners Analyzing the Impact of Integrated Fare Structures in Decentralized Metropolitan Regions: A Toronto Region Case Study
• Fare System of Urban Public Transportation Services in Davao City, Philippines
• Inference of Public Transportation Trip Destinations by Using Fare Transaction and Vehicle Location Data: Dynamic Programming Approach
• Investigating Potential Transit Ridership by Fusing Smartcard and Global System for Mobile Communications Data
• Modeling the Impact of Transit Fare Change on Passengers’ Accessibility
• Perceived Reality: Understanding the Relationship Between Customer Perceptions and Operational Characteristics
• Quantile Regression Analysis of Transit Travel Time Reliability with Automatic Vehicle Location and Farecard Data
• The Youth Pass: A Study of the Conflicts Between Ideal and Practical Research Design in a Pilot Social Program
• Transit Trip Itinerary Inference with GTFS and Smartphone Data