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Understanding the impact of crowding in public transport route choice using longitudinal data: A case study for Stockholm Region
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Transport planning.ORCID iD: 0000-0002-8040-1001
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Transport planning.ORCID iD: 0000-0002-4506-0459
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Transport planning.ORCID iD: 0000-0002-8499-0843
Transport for London.
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2024 (English)Conference paper, Oral presentation with published abstract (Refereed)
Place, publisher, year, edition, pages
2024.
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:kth:diva-350635OAI: oai:DiVA.org:kth-350635DiVA, id: diva2:1884479
Conference
Transit Data 2024: 9th International Workshop and Symposium on the Use of Passive Data from Public Transport Systems, London, UK, 1-4 July 2024
Funder
Swedish Transport Administration, TRV 2022/33324
Note

QCR 20240717

Available from: 2024-07-16 Created: 2024-07-16 Last updated: 2024-07-17Bibliographically approved

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No full text in DiVA

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Skoufas, AnastasiosCats, OdedCebecauer, MatejJenelius, Erik

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