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Shared micromobility and public transport integration - A mode choice study using stated preference data

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  • Montes, Alejandro
  • Geržinic, Nejc
  • Veeneman, Wijnand
  • van Oort, Niels
  • Hoogendoorn, Serge

Abstract

This paper uses stated preference data collected in the city of Rotterdam and discrete choice modelling techniques to study the relationship between public transport and shared micromobility. It assumes a hypothetical condition of integrated systems and studies the relationships of complement and competition between these modes. The findings suggest that shared micromobility modes are viable alternatives as egress modes for metro trips. Shared micromobility can be seen as a complement to metro, yet shared e-mopeds proved to also be a viable option as individual modes for long-distance trips. Different characteristics proved to be important in choices in this context: frequency of public transport use, previous use of shared micromobility, and age. Considering the results obtained, collaboration between shared micromobility and transit operators might benefit them as well as travellers. Collaborations should be designed so that they help travellers to decrease total travel time, even if it implies longer egress legs. However, the costs of these shared modes should not be as high as to prevent travellers to use them as egress alternatives. Finally, young travellers and frequent transit users could be specifically targeted, as they showed to have a better perception of shared micromobility.

Suggested Citation

  • Montes, Alejandro & Geržinic, Nejc & Veeneman, Wijnand & van Oort, Niels & Hoogendoorn, Serge, 2023. "Shared micromobility and public transport integration - A mode choice study using stated preference data," Research in Transportation Economics, Elsevier, vol. 99(C).
    • Handle: RePEc:eee:retrec:v:99:y:2023:i:c:s0739885923000422
    DOI: 10.1016/j.retrec.2023.101302
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    More about this item

    Keywords

    Shared micromobility; Public transport; Mode choice; Choice modelling; Stated choice;
    All these keywords.

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C9 - Mathematical and Quantitative Methods - - Design of Experiments

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