Un modelo híbrido de probabilidad de elección para la estimación de la demanda de Quitocable

Abstract

The traditional models for the calculation of passenger demand based on prediction through quantifiable variables such as time, operational costs (Diesel, Spare Parts, etc.), fare, gender, among the main ones, have been extensively used for modeling processes of the final user choice. However, a new trend of research developed in recent years includes aspects of relevance such as human behavior measured by latent variables, i.e. variables not directly quantifiable, within the analysis and demand models. This article aims to estimate through a hybrid model the demand for the Quitocables system. The results show a robustness of these models in relation to traditional discrete choice models. , as indicated in the conclusions, the comfort and safety parameters that define in a better way the choice of a mode of transport