Information Technology of Tourism Demand Modeling Based on Cognitive and Statistical Analysis

• Autorzy: Victor M. Krilov , Hrystyna V. Lipyanina
• Języki publikacji: EN

Abstrakty

EN

The process of tourism demand formation is studied, in which the infrastructure level is estimated on the basis of subjective expertise. There is a strong correlation between the number of collective accommodation facilities and tourism activity subjects, the infrastructure level based on the subjective expertise and the number of recreations. Regression dependencies between the tourism demand and closely correlated factors are determined.(original abstract)

Słowa kluczowe

EN

Tourism; Tourism infrastructure; Tourist demand

PL

Turystyka; Infrastruktura turystyczna; Popyt turystyczny

• Czasopismo: Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
• Rocznik: 2019
• Numer: z. 133 Management in Industry and Services
• Strony: 85--92

Twórcy

autor

Victor M. Krilov

• Odessa National Polytechnic University, Ukraine

autor

Hrystyna V. Lipyanina

• Ternopil National Economic University, Ukraine

Bibliografia

• 1. Anderson, T. (1976). Statistical analysis of time series. Moscow: Mir, 756.
• 2. Dubrova, T.A. (2003). Statistical methods of forecasting. Finance and Statistics, 205.
• 3. Holovko, O.M. (2013). Promising directions of tourism development in small cities. Scientific Bulletin of NLTU of Ukraine, 23.14, 67-73.
• 4. Hunk, D.E. (2003). Business Forecasting. Moscow: Publishing house "Wiliams", 656.
• 5. Official statistical information of the Ukraine State Statistics Committee, http://www.ukrstat.gov.ua.
• 6. The Law of Ukraine "On Tourism" (18.11.2003). №1282 - ІV, http://zakon4.rada.gov.ua/ laws/show /324/95-%D0%B2%D1%80.
• 7. The World Tourism Organization (UNWTO), http://www2. nwto.org.
• 8. Tsibulskiy, V.O. (2015). Investigation of the essence of demand and supply in the market of tourist services and factors of influence on them. Economy. Management. Innovations, 2(14), 14-24.

Identyfikatory

DOI

10.29119/1641-3466.2019.133.7