Passengers' activities in multimodal transportation stations

Abstract

The waiting time in transport stations is considered as crucial factor which may influence the public transport perception. It is necessary to have adequate solutions in order to make the waiting time more exploitable. So, several stations' activities must be engaged to minimize the perceived waiting time. To identify these passengers activities in a multimodal transport station and there factors, a Multiple Correspondence Analysis (MCA) followed by a Fuzzy Classification have been adopted. These methods are applied to a Tunisian Great Sahel survey.