Effective itinerary planning attracts more and more attention of both researchers and practitioners with a view to reduce costs, ensure quality of service as well as to meet the ever-growing needs of the population for public transport services enabling selection of specific travel modes while avoiding the negative impacts of traffic congestion. In this context the objective of this paper is to develop and test a generic fractal-like model of multimodal transport networks. Its purpose is to identify potentials and limitations of using the fractal organization perspective in compiling multimodal transport networks and public transport services in the course of selecting multi-modal routes that have the shortest paths through the network. Results of computational experiments assessing the scalability of the proposed method are presented as well.
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