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Authors
Hosoe, Mio Tottori University Researchers DB KAKEN
Keywords
Public transport
Smart card
High order data
Abstract
With recent developments in ICT, the interest in using large amounts of accumulated data for traffic policy planning has increased significantly. In recent years, data polishing has been proposed as a new method of big data analysis. Data polishing is a graphical clustering method, which can be used to extract patterns that are similar or related to each other by identifying the cluster structures present in the data. The purpose of this study is to identify the travel patterns of railway passengers by applying data polishing to smart card data collected in the Kagawa Prefecture, Japan. To this end, we consider 9,008,709 data points collected over a period of 15 months, ranging from December 1st, 2013 to February 28th, 2015. This dataset includes various types of information, including trip histories and types of passengers. This study implements data polishing to cluster 4,667,520 combinations of information regarding individual rides in terms of the day of the week, the time of the day, passenger types, and origin and destination stations. Via the analysis, 127 characteristic travel patterns are identified in aggregate.
Publisher
Springer Open
Content Type
Journal Article
Link
EISSN
21961115
Journal Title
JOURNAL OF BIG DATA
Volume
8
Published Date
2021-01-07
Publisher-DOI
Text Version
Publisher
Rights
(C) The Author(s) 2021. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Citation
Hosoe, M., Kuwano, M. & Moriyama, T. A method for extracting travel patterns using data polishing. J Big Data 8, 13 (2021). https://doi.org/10.1186/s40537-020-00402-w
Department
Faculty of Engineering/Graduate School of Engineering
Language
English
Web of Science Key ut
WOS:000610411200005