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Unravelling Mobility Patterns using Longitudinal Smart Card Data: Final report for Trafik och Region 2019SLL-KTH research project
KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Traffic Research, CTR. 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.
KTH, School of Architecture and the Built Environment (ABE), Urban Planning and Environment.ORCID iD: 0000-0003-0307-7946
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Transport planning.ORCID iD: 0000-0002-8499-0843
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2021 (English)Report (Other academic)
Abstract [en]

Background

This project followed-up on a project called FairAccess which was granted in Trafik och Region 2018.In FairAccess, we processed Access card data and performed a sequence of inferences to derive timedependent origin-destination matrices for the entire Region Stockholm system. Tap-in records werematched with corresponding inferred tap-out locations and time stamps for about 80% of all records.Moreover, we implemented an algorithm to generate a journey database based on our transferinference method. We used the outputs of this process to evaluate the impacts of the fare schemechange (i.e. from zone-based to flat fare) on different user profiles. Access card products and zonalattributes were used for analysing policy impacts on different market segments.The “Unravelling Mobility Patterns using Longitudinal Smart Card Data” project was granted on May27, 2020 and the contract was signed on July 17, 2020. In this project, we capitalise on the capabilitiesof the inferences performed in previous work to conduct a series of market segmentation andadvanced data analytics to empirically analysis demand patterns for public transport in the StockholmCounty. The growing travel demand in Stockholm County is accompanied by an increased diversity ofsub-centres within the region as well as in individual travel patterns. It is thus increasingly importantto understand how demand patterns evolve over time, what the key market segments are and howdifferent users are affected by changes in service provision. The latter is studied in the contact of theopening of the Citybanan project.As stated in the SLL Research and Innovation Plan, the development of transport solutions for theStockholm region requires new knowledge regarding travellers’ needs and preferences, and theimpacts for different types of travellers. 

Place, publisher, year, edition, pages
KTH Royal Institute of Technology, 2021. , p. 6
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:kth:diva-333211OAI: oai:DiVA.org:kth-333211DiVA, id: diva2:1784688
Funder
Region Stockholm, RS 2019-0499
Note

QC 20230731

Available from: 2023-07-29 Created: 2023-07-29 Last updated: 2023-07-31Bibliographically approved

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Cats, OdedFerranti, FrancescoRubensson, IsakCebecauer, MatejJenelius, Erik

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CiteExportLink to record
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