Article2008

Farecard Passenger Flow Model at Chicago Transit Authority, Illinois

15 citations0/0 files storedTransportation Research Record Journal of the Transportation Research Board

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Transportation Planning and Optimization Railway Systems and Energy Efficiency Human Mobility and Location-Based Analysis

Abstract

A system using farecard data at the Chicago Transit Authority in Chicago, Illinois, to estimate rail passenger flows within the rail rapid transit network has been validated and used for several planning and analysis purposes. The system, which derives destinations for entry-only rail farecard users, is an enhanced version of the New York City Transit farecard origin–destination model. Enhancements include algorithmic changes to improve destination inference, greater time period granularity, enhanced sampling techniques, and path assignment to individual scheduled trips. Applications of the model outputs, including its use in lieu of passenger counts, are illustrated.

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References

2002Origin and Destination Estimation in New York City with Automated Fare System Data 2008Constructing an Automated Bus Origin–Destination Matrix Using Farecard and Global Positioning System Data in São Paulo, Brazil 2006Bus passenger Origin-Destination Matrix estimation using Automated Data Collection systems 2004The planning and analysis implications of automated data collection systems : rail transit OD matrix inference and path choice modeling examples 2006The value of automated fare collection data for transit planning : an example of rail transit OD matrix estimation

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2011Algorithm to Measure Daily Bus Passenger Miles Using Electronic Farebox Data for National Transit Database Section 15 Reporting 2024Origin–destination matrices from smartphone apps for bus networks 2016From Transit Systems to Models: Data Representation and Collection

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