Sociopsychological factors associated with the adoption and usage of electric micromobility
This paper aims to identify the main sociopsychological factors that individuals perceive as affecting their intention to adopt electric (e-)micromobility. Drawing from modal choice theory, the factors are classified into functional (money, time, and other convenience values) and non-functional (emo...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2022 |
| País: | España |
| Institución: | Universitat Autònoma de Barcelona |
| Repositorio: | Dipòsit Digital de Documents de la UAB |
| Idioma: | inglés |
| OAI Identifier: | oai:ddd.uab.cat:266088 |
| Acceso en línea: | https://ddd.uab.cat/record/266088 https://dx.doi.org/urn:doi:10.1016/j.tranpol.2022.09.008 |
| Access Level: | acceso abierto |
| Palabra clave: | Adoption intention Electric mobility Functional values Micromobility Non-functional values Sociopsychological factors |
| Sumario: | This paper aims to identify the main sociopsychological factors that individuals perceive as affecting their intention to adopt electric (e-)micromobility. Drawing from modal choice theory, the factors are classified into functional (money, time, and other convenience values) and non-functional (emotional, social, and epistemic values). Following a PRISMA systematic literature review of 67 papers, we observed the reported influence of several functional and non-functional factors over the decision on whether to use an e-micromobility mode of transport. Results indicate that non-functional factors such as environmental concern, innovativeness, and belonging can be even more influential for individuals than traditional functional factors such as speed, cost, and time savings. Users seem to perceive these services as socially beneficial, contributing to improved livability, equity of access, and diversity of choice. The present review contributes to our understanding of the complexity of modal choice, and the importance of accounting for the sociopsychological factors influencing user decisions regarding micromobility. Our findings can help improve the strategies and policies supporting e-micromobility adoption. |
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