Data-based Synthetic Population Generator for Activity Based Transport Models

Petr Hajduk*, Claudio Roncoli, Mikko Pihlatie

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsScientific

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    Abstract

    Transport models are a key to understanding the mobility inside cities. Despite the fact that activity-based transport models offer better level of detail and finer interactions compared to four-step models, they lack a suitable methodology for creating a meaningful population out of open data without the burden of privacy sensitivity. This paper is trying to bridge this gap by introducing a new methodology and its implementation for the Capital Region of Helsinki, Finland. The generated population is finally tested as a part of activity-based transport model for the same area. Results show that generating the population solely from open aggregated data is possible and shows good correlation with the observed data.
    Original languageEnglish
    Title of host publicationProceedings of TRA2020, the 8th Transport Research Arena
    Subtitle of host publicationRethinking transport – towards clean and inclusive mobility
    EditorsToni Lusikka
    PublisherLiikenne- ja viestintävirasto Traficom
    Chapter9
    Pages58-59
    ISBN (Electronic)978-952-311-484-5
    Publication statusPublished - 26 Apr 2020
    MoE publication typeNot Eligible
    Event8th Transport Research Arena, TRA 2020 - Conference cancelled - Helsinki, Finland
    Duration: 27 Apr 202030 Apr 2020
    https://traconference.eu/overview/

    Publication series

    SeriesTraficom Research Reports
    Number7
    ISSN2660-8781

    Conference

    Conference8th Transport Research Arena, TRA 2020 - Conference cancelled
    Abbreviated titleTRA 2020
    Country/TerritoryFinland
    CityHelsinki
    Period27/04/2030/04/20
    Internet address

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