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Descripción
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| In this article, Innovation Diffusion Theory (IDT) is adapted and applied as a framework to study data from a series of surveys among BiciMAD subscribers to describe adopter profiles and analyze attributes that influence the time of adoption, including an additional one: cycling familiarity. Empirical results are presented to show how an innovation (in terms of technology and service configuration on the level of a city) is dispersed. Conclusions show that smart bike sharing is an innovation vector in urban mobility, an attractive new travel mode for the identified adopter categories, namely (1) lifestyle cyclists, the venturesome and technology enthusiast Earliest Adopters, (2) dedicated cyclists, the rational and deliberate Early Majority, (3) leisure cyclists, the skeptical and peer-dependent Late Majority, and (4) fair-weather cyclists, the prudent Laggards. | |
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Internacional
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Si |
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JCR del ISI
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Si |
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Título de la revista
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Journal of Urban Technology |
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ISSN
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1063-0732 |
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Factor de impacto JCR
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3,213 |
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Información de impacto
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Volumen
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25 |
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DOI
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10.1080/10630732.2018.1483679 |
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Número de revista
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3 |
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Desde la página
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1 |
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Hasta la página
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26 |
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Mes
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JULIO |
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Ranking
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