Demand Variation Analysis of Public Transportation using Piecewise Linear Approximation Model
The purpose of this study is to understand the public transportation demand variation over a long period of time, including the period affected by the COVID-19. Here, the total number of smart card usage is demand, and an increase or decrease in demand is the trend. By extracting the trend and the point when the trend changes, the long-term demand variations can be grasped. As a result, it was clarified how demand fluctuated due to the effects of the COVID-19. Also, clustering the stations with similar trends, the authors inferred from the spatial distribution of the stations belonging to each class and the environment surrounding the stations how the passenger behavior changed due to the spread of the COVID-19.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/09160647
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Authors:
- Hosoe, Mio
- Kuwano, Masashi
- Miyazaki, Kosuke
- Publication Date: 2024
Language
- English
- Japanese
Media Info
- Media Type: Web
- Features: References; Tables;
- Pagination: pp 1691-1697
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Serial:
- Journal of the City Planning Institute of Japan
- Volume: 59
- Issue Number: 3
- Publisher: City Planning Institute of Japan
- ISSN: 0916-0647
- EISSN: 2185-0593
- Serial URL: https://www.jstage.jst.go.jp/browse/journalcpij/-char/en
Subject/Index Terms
- TRT Terms: Built environment; COVID-19; Data collection; Public transit; Smart cards; Spatial analysis; Travel behavior
- Geographic Terms: Japan
- Subject Areas: Data and Information Technology; Planning and Forecasting; Public Transportation; Safety and Human Factors; Security and Emergencies;
Filing Info
- Accession Number: 01937878
- Record Type: Publication
- Source Agency: Japan Science and Technology Agency (JST)
- Files: TRIS, JSTAGE
- Created Date: Nov 22 2024 2:56PM