Using Latent Class Analysis (LCA) to Identify Behavior of Moroccan Citizens Towards Electric Vehicles

Abstract

Electric Vehicles (EV) represent an efficient way for reducing the effects of gas emissions polluting our environment. In this context, Latent Class AnalyLCAsis(), as an unsupervised Machine Learning method, is used to identify people’s behavior towards ecological phenomena, particularly EV, as an alternative to the usual mobility way. This method can detect the group profiles (clusters) from the manifests variables. In this paper, we use LCA method to Identify the behavior of Moroccan Citizens towards the EV. The results show that the LCA method can identify the sample selected into two classes: The first concerns a group more interested in EV. However, the second group concerns people less interested in ecological transport.