The paper considers an important new and growing business in sustainable transportation, car-sharing services. This is, to our knowledge, the first comprehensive analysis of car-sharing services from the business model point of view. Specifically, we apply and introduce a standard and reproducible way to compare the business models of car-sharing companies. Our analysis results show that a crucial issue in defining car-sharing services is the creation of customized tariff plans. Thus, as a second contribution of our paper, we introduce a specific solution based on Monte Carlo simulation. This tool simulates the existing price and tariff policies or the introduction of new ones for different profiles of car-sharing users, according to different mobility needs and the traffic congestion of the urban area. As an example, we use our methodology to provide an in-depth description of the situation in the city of Turin, Italy.
Business models and tariff simulation in car-sharing services / Ferrero, Francesco; Perboli, Guido; Musso, Stefano; Vesco, ANDREA GUIDO ANTONIO. - In: TRANSPORTATION RESEARCH. PART A, POLICY AND PRACTICE. - ISSN 0965-8564. - STAMPA. - 115:(2018), pp. 32-48. [10.1016/j.tra.2017.09.011]
Business models and tariff simulation in car-sharing services
PERBOLI, GUIDO;MUSSO, STEFANO;VESCO, ANDREA GUIDO ANTONIO
2018
Abstract
The paper considers an important new and growing business in sustainable transportation, car-sharing services. This is, to our knowledge, the first comprehensive analysis of car-sharing services from the business model point of view. Specifically, we apply and introduce a standard and reproducible way to compare the business models of car-sharing companies. Our analysis results show that a crucial issue in defining car-sharing services is the creation of customized tariff plans. Thus, as a second contribution of our paper, we introduce a specific solution based on Monte Carlo simulation. This tool simulates the existing price and tariff policies or the introduction of new ones for different profiles of car-sharing users, according to different mobility needs and the traffic congestion of the urban area. As an example, we use our methodology to provide an in-depth description of the situation in the city of Turin, Italy.Pubblicazioni consigliate
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https://hdl.handle.net/11583/2662329
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