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Predictability of public transport usage: a study of bus rides in Lisbon, Portugal

Foell, Stefan; Phithakkitnukoon, Santi; Kortuem, Gerd; Veloso, Marco and Bento, Carlos (2015). Predictability of public transport usage: a study of bus rides in Lisbon, Portugal. IEEE Transactions on Intelligent Transportation Systems, 16(5) pp. 2955–2960.

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DOI (Digital Object Identifier) Link: https://doi.org/10.1109/TITS.2015.2425533
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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.

Item Type: Journal Item
Copyright Holders: 2015 IEEE
ISSN: 1524-9050
Project Funding Details:
Funded Project NameProject IDFunding Body
GAMBASFP7-ICT-2011.1.3-287661EU
Keywords: public transport; data mining; smart card data; urban computing; transport usage patterns; travel prediction
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 43270
Depositing User: Stefan Foell
Date Deposited: 28 May 2015 15:43
Last Modified: 06 Oct 2016 07:59
URI: http://oro.open.ac.uk/id/eprint/43270
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