A smart decision approach for tourism car-pooling

The number of people using shared or smart mobility for daily travel and for tourism purposes is growing. This work aims to define a new smart decision approach to promotes the use of car-pooling by tourist groups to reach sites of interest that are difficult to reach with other public transport solutions. The decision problem consists in defining a set of car groups, each of which is associated with a specific route, obtained by considering all (or nearly all) the possible combinations, according to specific social rating requirements. We propose a new two-stage intelligent decision-making approach, based on the set partitioning model, with a path generation procedure and a multi-objective approach. Several computational experiments have been carried out in order to validate the effectiveness of the proposed approach and the impact of the weights assigned to the different optimization criteria and of the social requirements on the overall car groups definition. The solutions obtained show a benefit compared to the initial situation, under each of the performance measures adopted. We have also shown how the introduction of conditions on the social rating affects the efficiency of the solutions and that all the solutions analyzed above are Pareto-optimal and represent the best planning of the automotive groups according to different attitudes regarding the optimization criteria. We have also shown how the introduction of conditions on social rating affects the efficiency of the solutions.