Author(s)

S. Carrese, S. Gori, L. Mannini & M. Nigro

Abstract

The accessibility to different transport systems is an essential variable for the modal choice, and not only for the choice between public and private transport, but also between concurrent transit systems. The study would like to identify and quantify the value of information (VOI) in the accessibility to concurrent transit services. In particular, the type of information considered and assessed is both en-route and pre-trip information provided to user who has to choose between the concurrent transit services available. A methodology will be presented in order to identify and quantify the VOI, based on the development of behavioral models that make use of random utility theory. These models have been calibrated and validated using two different samples of data collected by a Revealed Preference (RP) survey to 200 users choosing between the different transit services available connecting Fiumicino Airport to the city center of Rome (Termini Station) in Italy. The proposed methodology is based on the development of behavioral models that make use of random utility theory. In particular two types of discrete choice models belonging to the family of random utility models are proposed: Multinomial Logit model (ML) and Nested Logit model (NL).

Keywords

value of information, transit accessibility, random utility theory, Revealed Preference survey, Multinomial Logit model, Nested Logit model.