Predicting modal choice for urban transport using an algebraic equation

Demand estimation and forecasting is an essential step in urban passenger transport planning. Relating the factors that influence the modal choice behavior of individuals facilitates demand estimation. In this study, we develop machine learning models that consider individuals' demographic, soc...

Full description

Bibliographic Details
Main Authors: José E. Leal, Victor Parada
Format: Article
Language:English
Published: Elsevier 2023-11-01
Series:Transportation Research Interdisciplinary Perspectives
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S259019822300194X