Probabilistic estimation of travel behaviors using zone characteristics

Abstract

There are many prior works of modeling travel behaviors. Most of them are investigated under the assumption that many kinds of data such as that of Person Trip (PT), which surveys travel behaviors, are available. Therefore, they do not consider an application to cities where the survey is not examined. In this paper, we propose a method for estimating travel behaviors using zone characteristics which is obtained from structural data of city. Focusing on dependent relationships between travel behaviors and city structure, we estimate the travel behaviors by means of the relationships. We first define trip and zone characteristics, and then introduce our method. With our method, we make use of Bayesian network constructed with PT data and the structural data. In addition, we show the effectiveness of our method through evaluation experiments. © 2009 Springer Berlin Heidelberg.