JavaScript is disabled for your browser. Some features of this site may not work without it. Research Collection Navigational link. Full text published version PDF, 5. Full text accepted version PDF, 2. Full text submitted version PDF, Reck, Daniel Jan. Guidon, Sergio. Haitao, He.
Axhausen, Kay W. Cited times in Scopus. ETH Bibliography. Shared micromobility services e-scooters, bikes, e-bikes have rapidly gained popularity in the past few years, yet little is known about their usage. While most previous studies have analysed datasets from single providers, only few comparative studies of two modes exist and none so-far have anal ysed competition or mode choice at a high spatiotemporal resolution for more than two modes. To this end, we develop a generally applicable methodology to model and analyse shared micromobility competition and mode choice using widely accessible vehicle location data.
Our results suggest that mode choice is nested and dominated by distance and time of day. Docked modes are preferred for commuting. Hence, docking infrastructure for currently dockless modes could be vital for bolstering micromobility as an attractive alternative to private cars to tackle urban congestion during rush hours.
Furthermore, our results reveal a fundamental relationship between fleet density and usage. A "plateau effect" is observed with decreasing marginal utility gains for increasing fleet densities. City authorities and service providers can leverage this quantitative relationship to develop evidence-based micromobility regulation and optimise their fleet deployment, respectively.
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