Substituting car trips with cycling in Finland: A traveller segmentation analysis

Johannes Mesimäki*, Esko Lehtonen, Anu Tuominen

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

Integrating cycling within daily routines by substituting car trips could improve sustainability and increase physical activity. We estimated the quantity of single-occupancy car trips that could be cycled in Finland during snow-free times of the year and their distribution among traveller segments based on Finnish 2016 national travel survey data. Hierarchical clustering applied to a distance matrix created by a random forest model classifying regular and irregular cyclists was used for segmentation.
Approximately 7% of car trips were deemed cyclable. These were distributed unevenly across eight traveller segments extracted from the data, which differed by travel behaviour, urbanisation, age, primary activity and population size. The results suggest that replacing car use with cycling in a routinised manner while meeting existing travel needs is not viable for most people. We highlight the urgency of improving the transportation system’s ability to consistently fulfil travel needs with cycling to facilitate large-scale modal shifting.
Original languageEnglish
Article number104655
JournalTransportation Research Part D: Transport and Environment
Volume141
DOIs
Publication statusPublished - 1 Apr 2025
MoE publication typeA1 Journal article-refereed

Funding

This work was supported by the Healthy Lifestyles to Boost Sustainable Growth (STYLE) project funded by the Strategic Research Council of Academy of Finland [grant numbers 320401 and 346608]. Support of the STYLE project consortium is gratefully acknowledged.

Keywords

  • Active travel
  • Clustering
  • Cycling
  • Machine learning
  • Physical activity
  • Random forest

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