Transport plays an increasingly important role in the social and economic context. Aware of its environmental impacts and the need for sustainable solutions, approaches to move towards more sustainable transport systems are being intensively developed at all levels - local, regional and global. In this PhD thesis, we propose a new approach for evaluating the sustainable performance of intermodal transport chains through a recommender system that increases the transparency of the flow of environmental impact information between stakeholders in the transport chain and between end-users.
The proposed approach includes three methods: the Analytic Hierarchy Process (AHP), the Data Envelopment Approach (DEA) and the DELFI method, whose outputs are classified into classes to facilitate decision making by users. The classes are formed using adaptive determinants, which provide a realistic assessment of the performance of transport chains. The evaluation process is carried out in three phases: in the first phase, the weights of the criteria (price, transport time, environment, transport quality) are determined using the AHP method on the basis of expert questionnaires, then the technical efficiency is calculated using the DEA method, and in the last phase, the transport chains are classified into classes and recommendations for optimisation are made. The visualisation of the results using a colour system (green, orange, red) familiar from the evaluation of household appliances and tyres contributes to the usability of the model.
The PhD thesis includes two case studies analysing the performance of intermodal transport chains on the s
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