Abstract
In the last years, there has been a growing interest in the sharing mobility transport thanks to its potentialities in terms of service accessibility and versatility being a valid alternative to the use of private vehicles. Its role could become central to promote environmental sustinability as well as to fill the gap of public transport being the integrated transport system the new future challenge. The aim of this study is to investigate the main factors promoting sharing mobility in Italy, with reference to cars and bikes, in particular. The representative sample coming from the 2017 Aspects of Daily Life survey has been used in the analysis developed on two research directives: the former based on the use of the logistic regression technique to identify the significant factors predicting the carsharing and bikesharing propensity; the latter based on the use of the Bayesian Networks framework to explore the complex dependence structure of all involved variables. The application results are in line with the sharing mobility literature noting that this is one of the few works based on a representative sample. In this study, many predisponent aspects promoting the sharing service have been emphasized and analysed suggesting new possible intervention policies for managers and stakeholders.
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