Shared Mobility Service Usage Patterns - Results of a Representative Survey in Budapest

To increase the share of shared mobility, understanding the general characteristics of active users and, moreover, the characteristics of non-users is essential. In this paper, we aimed to reveal the correlation between travel habits, general personal characteristics, and the use of shared mobility services, such as scooter-sharing, bike-sharing, and car-sharing. The data from a representative online survey were used; the respondents are citizens of Budapest, Hungary, and have a driver's license. We found that the active users are mainly from the younger generation with higher educational levels and higher incomes. Most users have subscriptions for more than one shared mobility service type. Furthermore, the service availability in the neighborhood and the car ownership influence car-sharing use. These findings contribute to the limited knowledge of the choice between different shared mobility types. The results can be used by operators to improve shared mobility services; the target groups of a campaign can be identified by the results.

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Publication Details

Journal
Transactions on Transport Sciences
Published
2025-05-27
DOI
https://doi.org/10.5507/tots.2025.009
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
0.00
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article

Shared Mobility Service Usage Patterns - Results of a Representative Survey in Budapest

Bálint Csonka, Csaba Csiszár, Dávid Földes, Ráchel Surányi et al.
Transactions on Transport Sciences
Transportation and Mobility Innovations
article

Shared Mobility Service Usage Patterns - Results of a Representative Survey in Budapest

Bálint Csonka, Csaba Csiszár, Dávid Földes, Ráchel Surányi, Borbála Simonovits
article en

Abstract

To increase the share of shared mobility, understanding the general characteristics of active users and, moreover, the characteristics of non-users is essential. In this paper, we aimed to reveal the correlation between travel habits, general personal characteristics, and the use of shared mobility services, such as scooter-sharing, bike-sharing, and car-sharing. The data from a representative online survey were used; the respondents are citizens of Budapest, Hungary, and have a driver's license. We found that the active users are mainly from the younger generation with higher educational levels and higher incomes. Most users have subscriptions for more than one shared mobility service type. Furthermore, the service availability in the neighborhood and the car ownership influence car-sharing use. These findings contribute to the limited knowledge of the choice between different shared mobility types. The results can be used by operators to improve shared mobility services; the target groups of a campaign can be identified by the results.

Transactions on Transport SciencesVol. 16(SI SCSP conference)
Openalex Percentile: Top 89%
Transportation and Mobility Innovations
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