dataset_carsharing
Description
This dataset contains the assessment of psychological predictors of the behavioral intention to use carsharing. The participants are divided into users and non-users of carsharing in Italy and Sweden. The data was gathered by an online questionnaire, available in Swedish, Italian, and English versions. This dataset is a subset of the relevant variables for the hypotheses testing described below. To access the full dataset, please access: 10.5281/zenodo.3661118 The hypotheses encompass that behavioral intention to use carsharing is expected to be positively and directly predicted by people’s climate morality (environmental concern and personal norms) (H1), subjective norms (H2), control (to what extent they perceive being in control to actively choose to use the service) (H3), and trust (on the availability and in what extent they could rely on the service) (H4). The last hypothesis is that driving habits will negatively predict the intention to use carsharing (H5). The main findings from the analysis of this data were: • Control was the main predictor of intention to use carsharing. • Driving habits had stronger negative effects for users of carsharing than for non-users. • Subjective norms positively predicted the intention to use carsharing among all groups. • Trust was a predictor of intention only for the Italian groups. • Climate morality had a small negative effect on the Swedish groups only.
Files
Steps to reproduce
To facilitate reproducibility and data reuse, the file "Supplementary material" contains the software environment, the code, the protocols, the methods, and extra descriptive analyses.