Use of Public Transport Smart Card Fare Payment Data for Travel Behaviour Analysis in Singapore

Artem Chakirov · Alexander Erath

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

Abstract

Electronic payment systems for public transport, introduced in many cities all over the world during the last decade, are able to capture system transactions and provide comprehensive data records on usage of public transport.Processing and analysis of this data opens new opportunities in transportation and travel behaviour research and is becoming an emerging research topic.This paper presents an analysis of one full day of public transport smart card activity for the entire city-state of Singapore and investigates its potential for characterization of public transport system and urban travel behaviour.In particular, an assessment of spatial and temporal travel behaviour including mode choice, travel-and waiting times is performed using statistical tools and data mining techniques.Thereby data reveals country specific preferences and behaviours as the influence of high passenger volumes and seat availability on route choice decisions and travel times.Furthermore data's ability to detect travel patterns and infer peoples travel purposes and locations of regular activities is investigated and strategies for modelling of home and work locations are presented.Additionally, household survey data from 2008 is used for comparison of multi modal travel patterns involving public and private transport.

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References

2011Smart card data use in public transit: A literature review 2005The potential of public transport smart card data 2010Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones 2010Travel Time and Transfer Analysis Using Transit Smart Card Data 2008Use of Smart Card Data to Define Public Transit Use in Seoul, South Korea 2010Augmenting Transit Trip Characterization and Travel Behavior Comprehension 2011Estimating a Transit Passenger Trip Origin-Destination Matrix Using Automatic Fare Collection System 2011Geodemographic analysis and the identification of potential business partnerships enabled by transit smart cards

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2018Who uses smart card? Understanding public transport payment preference in developing contexts, a case study of Manila's LRT-1 2015A data-driven agent-based model of congestion and scaling dynamics of rapid transit systems 2022Understanding individual and collective human mobility patterns in twelve crowding events occurred in Shenzhen 2014Simulating Congestion Dynamics of Train Rapid Transit Using Smart Card Data

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