Research Article

A Multimodal Approach for Determining Optimal Public Transport Fares

Bruno Montella, Luca D`Acierno and Mariano Gallo

In this study a model for the optimisation of mass-transit fares is proposed and tested both on a trial and a real-scale network. Formulated as a multidimensional constrained minimisation model, the problem considers a multimodal transportation system under the assumption of elastic demand for simulating the impacts of fare policies on modal split and network performance. It was suggested that the proposed model is applied with the adoption of two objective functions in order to take into account all system and social costs: Firm costs and external costs. Numerical tests show that the main constraints in fare definition are related to the size of public transport subsidies provided by public administration.

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Bruno Montella, Luca D`Acierno and Mariano Gallo, 2014. A Multimodal Approach for Determining Optimal Public Transport Fares. Journal of Applied Sciences, 14: 2767-2781.

DOI: 10.3923/jas.2014.2767.2781

URL: https://scialert.net/abstract/?doi=jas.2014.2767.2781

Journal of Applied Sciences

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Authors

Bruno Montella

Luca D`Acierno

Mariano Gallo

Keywords

Research Article

A Multimodal Approach for Determining Optimal Public Transport Fares

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