Transferability analysis of user groups in travel behaviour surveys using a random forest classification model
There are many different travel behavior surveys with a wide range of sample sizes and contents, whose data sets are often difficult to merge. This contribution aims to evaluate the possibilities of transferring user typologies from one travel survey to another using a random forest classification model. By incorporating the parameters of usage frequencies, socio-demographics and mobility resources, the classification achieved a mean F1 score of 0.93. In conclusion, it can be shown that the proposed method is suitable for transferring mobility types developed on the basis of a specialized data set to other surveys using mobility behavior parameters.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/23521465
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Supplemental Notes:
- © 2024 The Author(s). Published by Elsevier B.V. Abstract reprinted with permission of Elsevier.
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Authors:
- Nieland, Simon
- Oostendorp, Rebekka
- Heinrichs, Matthias
- Cyganski, Rita
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Conference:
- 12th International Conference on Transport Survey Methods
- Location: Maceira , Portugal
- Date: 2022-3-20 to 2022-3-25
- Publication Date: 2024
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 81-95
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Serial:
- Transportation Research Procedia
- Volume: 76
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 2352-1465
- Serial URL: http://www.sciencedirect.com/science/journal/23521465/
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Data fusion; Machine learning; Mobility; Socioeconomic factors; Travel behavior; Travel surveys
- Subject Areas: Data and Information Technology; Highways; Planning and Forecasting;
Filing Info
- Accession Number: 01929403
- Record Type: Publication
- Files: TRIS
- Created Date: Aug 31 2024 9:07PM