Extracting Bus Transit Boarding and Alighting Information Using Smart Card Transaction Data

Zhe Chen · Wei David Fan

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Human Mobility and Location-Based Analysis Transportation Planning and Optimization Urban Transport and Accessibility

Abstract

The smart card–based automated fare collection (AFC) technologies provide new opportunities for transportation data collection since smart card data (SCD) contain a significant amount of archived information that can be gathered and leveraged to help estimate public transit origin-destination (OD) matrices. Both boarding and alighting location detection are important particularly when there is no automatic vehicle location (AVL) system or other information in the database. With the analysis of raw data using limited information in this paper, an algorithm for boarding stop identification is presented after the trip direction and boarding cluster identification. Alighting stops are then identified based on the relationship between records. Finally, the feasibility and practicality of the methodology are tested using the bus transit SCD collected in Guangzhou, China.

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References

2011Smart card data use in public transit: A literature review 2012Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile 2007Individual Trip Destination Estimation in a Transit Smart Card Automated Fare Collection System 2007Estimating a Rail Passenger Trip Origin‐Destination Matrix Using Automatic Data Collection Systems 2002Origin and Destination Estimation in New York City with Automated Fare System Data 2011Bus Passenger Origin-Destination Estimation and Related Analyses Using Automated Data Collection Systems 2013Automated Inference of Linked Transit Journeys in London Using Fare-Transaction and Vehicle Location Data 2014Examining the spatial–temporal dynamics of bus passenger travel behaviour using smart card data and the flow-comap

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