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

© 2000-2011 IEEE. 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 proa...

Full description

Saved in:
Bibliographic Details
Main Authors: Stefan Foell, Santi Phithakkitnukoon, Gerd Kortuem, Marco Veloso, Carlos Bento
Format: Journal
Published: 2018
Subjects:
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84929791808&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/44165
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Chiang Mai University
id th-cmuir.6653943832-44165
record_format dspace
spelling th-cmuir.6653943832-441652018-04-25T07:46:30Z Predictability of public transport usage: A study of bus rides in Lisbon, Portugal Stefan Foell Santi Phithakkitnukoon Gerd Kortuem Marco Veloso Carlos Bento Agricultural and Biological Sciences © 2000-2011 IEEE. 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. 2018-01-24T04:38:51Z 2018-01-24T04:38:51Z 2015-10-01 Journal 15249050 2-s2.0-84929791808 10.1109/TITS.2015.2425533 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84929791808&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/44165
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Agricultural and Biological Sciences
spellingShingle Agricultural and Biological Sciences
Stefan Foell
Santi Phithakkitnukoon
Gerd Kortuem
Marco Veloso
Carlos Bento
Predictability of public transport usage: A study of bus rides in Lisbon, Portugal
description © 2000-2011 IEEE. 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.
format Journal
author Stefan Foell
Santi Phithakkitnukoon
Gerd Kortuem
Marco Veloso
Carlos Bento
author_facet Stefan Foell
Santi Phithakkitnukoon
Gerd Kortuem
Marco Veloso
Carlos Bento
author_sort Stefan Foell
title Predictability of public transport usage: A study of bus rides in Lisbon, Portugal
title_short Predictability of public transport usage: A study of bus rides in Lisbon, Portugal
title_full Predictability of public transport usage: A study of bus rides in Lisbon, Portugal
title_fullStr Predictability of public transport usage: A study of bus rides in Lisbon, Portugal
title_full_unstemmed Predictability of public transport usage: A study of bus rides in Lisbon, Portugal
title_sort predictability of public transport usage: a study of bus rides in lisbon, portugal
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84929791808&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/44165
_version_ 1681422508905988096