Bike-sharing system is quickly growing in the last years as a sharingeconomy symbol. In the literature about sharing-economy, many studies focus their attention on the primary sectors involved, the sustainability impact on companies and the main features affecting the user intention. Just a few studies are carried out to understand the needs of non-users. Here, an empirical analysis on non-users needs is performed by using a Bayesian network model with the aim to simulate different scenarios of intention changes.
Network modeling the bike-sharing intention: an empirical analysis of non user needings / Roberta, GUGLIELMETTI MUGION; Flaminia, Musella; Paola, Vicard; Vitale, Vincenzina. - (2019). (Intervento presentato al convegno IES 2019 - STATISTICAL EVALUATION SYSTEMS AT 360°: TECHNIQUES, TECHNOLOGIES AND NEW FRONTIERS tenutosi a Roma).
Network modeling the bike-sharing intention: an empirical analysis of non user needings
Vincenzina Vitale
2019
Abstract
Bike-sharing system is quickly growing in the last years as a sharingeconomy symbol. In the literature about sharing-economy, many studies focus their attention on the primary sectors involved, the sustainability impact on companies and the main features affecting the user intention. Just a few studies are carried out to understand the needs of non-users. Here, an empirical analysis on non-users needs is performed by using a Bayesian network model with the aim to simulate different scenarios of intention changes.File | Dimensione | Formato | |
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Guglielmetti et al. 2019.pdf
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