Predictability of public transport usage

A study of bus rides in Lisbon, Portugal

Journal article (2015)

Authors

Stefan Foell Open University

Santi Phithakkitnukoon Chiang Mai University

Gerd Kortuem Open University

Marco Veloso University of Coimbra, Centre for Informatics and System

Carlos Bento University of Coimbra, Centre for Informatics and System

Affiliation

External organisation

Public transport Data mining Smart card data Urban computing Transport usage patterns Travel prediction

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Published Date

2015-10

Language

English

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Abstract

This paper presents a study of the predictability of bus usage based on massive bus ride data collected from Lisbon, Portugal. An understanding of public bus usage behavior is important for future development of personalized transport information systems that are equipped with proactive capabilities such as predictive travel recommender systems. In this study, we show that there exists a regularity in the bus usage and that daily bus rides can be predicted with a high degree of accuracy. In addition, we show that there are spatial and temporal factors that influence bus usage predictability. These influential factors include bus usage frequency, number of different bus lines and stops used, and time of rides.