Examination of the Socio-Demographic, Attitudinal and Environmental Factors on Potential Users of Shared E-Scooters and the Benefits and Barriers of using them in Urban Transportation

Document Type : Original Article

Authors
Milad Bayat 1
Ali Tavakoli Kashani 2
1 M.Sc. Student, School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran.
2 Associate Professor, School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran and Road Safety Research Center, Iran University of Science and Technology, Tehran, Iran.
10.22034/road.2025.494723.2348
Abstract
With the continued use of shared e-scooters in more cities, shared e-scooters are becoming a visible and essential part of urban transportation systems. However, a limited understanding of user demand patterns and how this demand changes among individuals with different transportation preferences is a major obstacle to policy and regulation development. The present study explores initial and innovative insights into the socio-demographic, attitudinal, and environmental characteristics of potential users of shared e-scooters, and also examines the perceived benefits of using e-scooters and the Barriers of their future use. Therefore, the aim of this study is to describe the benefits and Barriers associated with the use of e-scooters among e-scooter users and non-users and also the stated preference or intention to consider e-scooters. The findings indicate that 21 percent of people were willing to consider e-scooters for some of their current trips, and the majority of them will replace their current walking (60 percent) and public transportation (55 percent) trips with shared e-scooters. logistic regression models revealed that all else being equal, preference toward trip efficiency, and environment and health-consciousness, were positively associated with potential e-scooter consideration. Perceived walkability/bikability and street safety also increased the likelihood of considering shared e-scooter in future. The findings begin to identify who will likely benefit from this micro-mobility option and where the impacts will be felt the most.
Keywords
E-Scooters
Sharing E-Scooters
Stated Preference
Logistic Regression
Micro-Mobility

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