Data-based Synthetic Population Generator for Activity Based Transport Models

Petr Hajduk (Corresponding author), Claudio Roncoli, Mikko Pihlatie

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

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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
Number of pages2
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

Publication series

SeriesTraficom Research Reports


Conference8th Transport Research Arena, TRA 2020 - Conference cancelled
Abbreviated titleTRA 2020
Internet address


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