Determinants of the travel satisfaction of e-scooter users

Andreas Nikiforiadis, Christina Lioupi, Grigorios Fountas, Nikiforos Stamatiadis, Socrates Basbas

Research output: Contribution to journalArticlepeer-review

Abstract

This paper seeks to fill in the current evidence gap on the relationship between travel satisfaction and e-scooter use. To do so, online survey data from e-scooter users of a University community in the city of Thessaloniki, Greece were collected and statistically analyzed. In line with previous research on travel satisfaction, the results of a series of exploratory and confirmatory factor analyses unveiled the potential of factors surrounding positive activation, positive deactivation, and cognitive evaluation to serve as key determinants of satisfaction of e-scooter riders. Furthermore, a structural equation model (SEM) was estimated to identify the impact of user- and trip-related characteristics on travel satisfaction. The results of the SEM showed that older and high-income riders, those with good self-reported physical condition, riders of private e-scooters and leisure travelers are more likely to perceive greater satisfaction by the use of their e-scooters. The findings of this study overall contribute to the current state-of-knowledge relating to travel satisfaction and pave the way for potential policy actions that could improve users’ experience with e-scooters and enhance the overall attractiveness of micromobility in the pathway towards sustainable and inclusive mobility.

Original languageEnglish
Article number100853
JournalTravel Behaviour and Society
Volume37
DOIs
StatePublished - Oct 2024

Bibliographical note

Publisher Copyright:
© 2024 Hong Kong Society for Transportation Studies

Keywords

  • E-scooters
  • Micromobility
  • Shared mobility
  • Structural Equation Model (SEM)
  • Travel satisfaction

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Transportation

Fingerprint

Dive into the research topics of 'Determinants of the travel satisfaction of e-scooter users'. Together they form a unique fingerprint.

Cite this