Embracing Urban Micromobility
A Comparative Study of E-Scooter Adoption in Washington, D.C., Miami, and Los Angeles
Bibliographic Data
| ID | 13113229 |
|---|---|
| Authors | Mostafa Jafarzadehfadaki (0000-0001-5052-7458, University of Alabama at Birmingham, corresponding author), Virginia P Sisiopiku (0000-0003-4262-8990, University of Alabama at Birmingham) |
| Year | 2024 |
| Volume | 8 |
| Issue | 2 |
| Pages | 71-71 |
| Publication date | 2024-06-18 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Urban Science (JOURNAL) |
| Journal identifiers | ISSN: 2413-8851 • E-ISSN: 2413-8851 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/urbansci8020071 |
| OpenAlex | W4399773982 |
| Language | EN |
| Citations received | 3 |
| References cited | 56 |
E-scooters have emerged as a popular micromobility option for short trips, with many cities embracing shared e-scooters to enhance convenience for travelers and reduce reliance on automobiles. Despite their rising popularity, there is a lack of clear understanding of how user preferences and adoption practices vary by location. This study aims to explore user and non-user attitudes towards e-scooter use in diverse urban settings. A meta-analysis of data from three surveys (N = 1197) conducted in Washington, D.C., Miami, FL, and Los Angeles, CA, was performed to compare e-scooter users and non-user profiles, mode choice factors, and attitudes and preferences towards e-scooter use. Additionally, machine learning (ML) and SHAP (SHapley Additive exPlanations) analysis were utilized to identify influential factors in predicting e-scooter use in each city. The results reveal that the majority of e-scooter users are 25 to 39 of age, male, with higher income and a bachelor’s degree, and 92% possess a driver’s license. Significant differences in attitudes between e-scooter users and non-users highlight the complexity of perceptions towards e-scooter usage. The ML model indicates that employment status negatively impacts the prediction of e-scooter users, while factors such as living without a car and using non-motorized modes positively influence e-scooter use. Educational background is a significant e-scooter mode choice factor in Washington, D.C. and Miami, whereas attitudinal questions on car and technology usage are influential in Los Angeles. These findings provide valuable insights into the factors shaping e-scooter adoption, informing urban transportation planning and policymaking and enhancing understanding of shared micromobility and its impact on urban mobility
Environmental health · Miami · Political science · Environmental Science · Medicine · Transportation and Mobility Innovations · Transportation Planning and Optimization · Urban Transport and Accessibility · Gerontology
Use of Ranks in One-Criterion Variance Analysis
User preferences regarding autonomous vehicles
Random Forests
Bike-sharing, car-sharing, e-scooters, and Uber
Travel mode choice and travel satisfaction
Travel mode choice
Values, attitudes and travel behavior
New Micromobility Means of Transport
Understanding Users’ Perceptions of Bicycle-Sharing Systems in Chinese Cities
Use of non-motorised modes and life stage in Edinburgh
Exploring the adoption of moped scooter-sharing systems in Spanish urban areas
Examination of trust and sustainability concerns in autonomous vehicle adoption
Notes on the practices and appearances of e-scooter users in public space
| Citations per year | 1.5 |
|---|---|
| Citation span | 2024 - 2026 (3) |
| Highly cited | No |