The Methodical Aspects of Evaluating of the Tourist Infrastructure of Ukraine

Abstract

The article presents the system and procedure for assessing the development of tourism infrastructure in Ukraine. The conception of the study was the system of theoretical, analytical and model basis of research, which, in turn, consist of five blocks: theoretical, block of generalization, analytical, block of results and block of decisions. At the theoretical level of the study, key terms have been defined and the use of methods for research of the tourism infrastructure of Ukraine is substantiated. At the level of generalization, key indicators of the functioning of the tourism infrastructure are substantiated; the transport, housing, food and travel sales components are highlighted. Each of these groups has a number of indicators that are provided in official sources. Using these indicators, in accordance with the components of the infrastructure, indicative indicators are proposed, which are computed as generalizing ones. The analytical block distinguished the methods of quantitative and qualitative analysis, thanks to which the corresponding results were obtained. Regarding quantitative methods, the study proposes the use of graphoanalytical method, nonlinear forecasting method, neural network forecasting, and the method of integral evaluation. Among the qualitative methods, it is proposed to use fuzzy logic methods to assess the degree of customer satisfaction with the level of the tourisn infrastructure of Ukraine. The block of results accumulates results by quantitative and qualitative methods, and at this stage estimations of relevant decisions are formed. The block of managerial decisions accumulates reasonable decisions based on the results of the study of the development of tourism infrastructure. The proposed system of assessment of tourism infrastructure using economic and mathematical methods of tourist flow provided an opportunity to carry out a systematic analysis of the country’s tourism infrastructure for more balanced and targeted managerial decisions to increase the efficiency of tourism infrastructure use and improve the quality of tourist services.

Keywords

• tourism infrastructure
• integral indicators
• transport infrastructure
• neural networks