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The Potential Demand for Carsharing by University Students: An Italian Case Study
Journal Title: SCIENZE REGIONALI  
Author/s: Romeo Danielis, Lucia Rotaris, Andrea Rusich, Eva Valeri 
Year:  2016 Issue: Language: English 
Pages:  23 Pg. 77-99 FullText PDF:  271 KB
DOI:  10.3280/SCRE2016-001004
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The paper presents a methodology to estimate the potential demand for carsharing by university students. The methodology is based on three surveys: a paper-and-pencil questionnaire; a detailed computer-assisted personal interview, and a contingent valuation 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 students enrolled at the University of Trieste. The main finding is that, under the prevailing conditions, a quite large number of the sample students (32%) would benefit in terms of generalised cost from the use of carsharing if a private car were unavailable. The model is also used to perform scenario analysis.
Keywords: Carsharing; demand estimation; Monte Carlo simulation.
Jel Code: R40, R41, R48

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Romeo Danielis, Lucia Rotaris, Andrea Rusich, Eva Valeri, in "SCIENZE REGIONALI " 1/2016, pp. 77-99, DOI:10.3280/SCRE2016-001004

   

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