Abstract
Approximation of Nautical Tourism Routes by Applying the Markov Chain
Highlights
For the purpose of modeling nautical tourism routes for sports and leisure formed between nautical tourism ports, this research uses the Markov chain model
Taking into consideration specific regularities in the formation of nautical tourist routes within the ports of nautical tourism, fourteen state systems have been analysed, two of which relate to those nautical tourist routes that pass across Italy and Slovenia when crafts have to enter or leave the ports
N. et al in the paper on "Decision Support System for the Development of Yachting in the Adriatic Sea", use Markov chain to design the frequency matrix of crafts entering 26 ports that make up the nautical tourism system called by the authors System of yachting tourism (SYT) [3]
Summary
For the purpose of modeling nautical tourism routes for sports and leisure formed between nautical tourism ports, this research uses the Markov chain model. In a longer period of operation of the Markov chain in modeling craft's random movement between numbers of nautical tourism ports, the state of the system as it is ceases to depend on its initial state. After a large number of crossings between ports made by boats within the nautical ports system network, it becomes unimportant from where the boats had initially set sail, and the system does not depend on the initial distribution In this support is the fact that the observed system of craft movement within the network of nautical tourism ports is characterized by a class of reciprocating states. Given that the subject of research is a set of nautical tourism ports states and crafts accidentally moving between these states, creating a communication network, there is only one class of return states This statement is of utmost importance because according to the Markov chain rule the initial state of the system does not affect the long-term behavior of the system.
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