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Assessing the Effect of Drivers' Gender on Their Intention to Use Fully Automated Vehicles

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Assessing the Effect of Drivers' Gender on Their Intention to Use Fully Automated Vehicles

dc.contributor.author	Useche, Sergio A.
dc.contributor.author	Peñaranda Ortega, María
dc.contributor.author	Gonzalez Marin, Adela
dc.contributor.author	Llamazares Robles, Francisco Javier
dc.date.accessioned	2023-05-24T13:47:15Z
dc.date.available	2023-05-24T13:47:15Z
dc.date.issued	2022
dc.identifier.citation	Useche, Sergio A. Peñaranda Ortega, María Gonzalez Marin, Adela Llamazares Robles, Francisco Javier 2022 Assessing the Effect of Drivers' Gender on Their Intention to Use Fully Automated Vehicles Applied Sciences 12 103
dc.identifier.uri	https://hdl.handle.net/10550/86904
dc.description.abstract	Although fully automated vehicles (SAE level 5) are expected to acquire a major relevance for transportation dynamics by the next few years, the number of studies addressing their perceived benefits from the perspective of human factors remains substantially limited. This study aimed, firstly, to assess the relationships among drivers' demographic factors, their assessment of five key features of automated vehicles (i.e., increased connectivity, reduced driving demands, fuel and trip-related efficiency, and safety improvements), and their intention to use them, and secondly, to test the predictive role of the feature' valuations over usage intention, focusing on gender as a key differentiating factor. For this cross-sectional research, the data gathered from a sample of 856 licensed drivers (49.4% females, 50.6% males; M = 40.05 years), responding to an electronic survey, was analyzed. Demographic, driving-related data, and attitudinal factors were comparatively analyzed through robust tests and a bias-corrected Multi-Group Structural Equation Modeling (MGSEM) approach. Findings from this work suggest that drivers' assessment of these AV features keep a significant set of multivariate relationships to their usage intention in the future. Additionally, and even though there are some few structural similarities, drivers' intention to use an AV can be differentially explained according to their gender. So far, this research constitutes a first approximation to the intention of using AVs from a MGSEM gender-based approach, being these results of potential interest for researchers and practitioners from different fields, including automotive design, transport planning and road safety.
dc.language.iso	eng
dc.relation.ispartof	Applied Sciences, 2022, vol. 12, p. 103
dc.subject	Vehicles
dc.subject	Automatització
dc.subject	Tecnologia
dc.subject	Carreteres
dc.subject	Seguretat viària
dc.title	Assessing the Effect of Drivers' Gender on Their Intention to Use Fully Automated Vehicles
dc.type	journal article
dc.date.updated	2023-05-24T13:47:16Z
dc.identifier.doi	10.3390/app12010103
dc.identifier.idgrec	159771
dc.rights.accessRights	open access