The potential demand for carsharing from university students: an Italian case study

Romeo Danielis (), Lucia Rotaris (), Andrea Rusich and Eva Valeri

No 15_1, Working Papers from SIET Società Italiana di Economia dei Trasporti e della Logistica

Abstract: The paper presents a methodology to estimate the potential demand for carsharing from university students. The methodology is based on two surveys: a paper-and-pencil questionnaire and a detailed computer-assisted interview. The data collected are used to operationalize a model that estimates the generalized cost under alternative scenarios, with and without carsharing. A Monte Carlo simulation procedure is used to estimate the probability that a person would use carsharing. The methodology has been tested with the students enrolled at the University of Trieste. The main finding is that, under the prevailing conditions, 32% of the sample students would benefit in terms of generalised cost from the use of carsharing if private car was unavailable. The model is also used to perform scenario analysis.

Date: 2015
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