Phase Analysis of the Data Dynamics from the Tourism Sector

Egileak

  • Vyacheslav Lyashenko Department of Informatics, Kharkiv National University of RadioElectronics, Ukrainе

##plugins.pubIds.doi.readerDisplayName##:

https://doi.org/10.47616/jamrems.v1i2.66

Gako-hitzak:

International Tourism, Phase Portrait, Tourism Income, Tourism Expenditure

Laburpena

The tourism industry covers various areas of economic activity. Tourism has various areas and directions of its implementation. One of the significant areas of tourism is international tourism. International tourism influences and reflects different spheres of human economic activity. This type of economic activity can have a non-linear nature of the processes that describe it. To analyze and identify such processes, the concept of a phase portrait is used. The paper reveals the features of nonlinear dynamics of processes in the field of tourism. We used real data to construct individual phase portraits in the tourism sector. A number of specific examples of the analysis of indicators from the tourism sector are given.

##plugins.generic.usageStats.downloads##

##plugins.generic.usageStats.noStats##

Erreferentziak

Akadiri, S. S., Alola, A. A., & Uzuner, G. (2020). Economic policy uncertainty and tourism: evidence from the heterogeneous panel. Current Issues in Tourism, 23(20), 2507-2514.

Alimova, M. T., Abdusaidova, S. Y., & Tuychiev, I. I. (2020). Innovative Directions of Tourism Development. Indonesian Journal of Cultural and Community Development, 7, 10-21070.

Baranova, V., Orlenko, O., Vitiuk, A., Yakimenko-Tereschenko, N., & Lyashenko, V. (2020). Information System for Decision Support in the Field of Tourism Based on the Use of Spatio-Temporal Data Analysis. International Journal of Advanced Trends in Computer Science and Engineering, 9(4), 6356-6361.

Butcher, J. (Ed.). (2019). Tourism, Cosmopolitanism and Global Citizenship. Routledge.

Coenders, G., & Ferrer-Rosell, B. (2020). Compositional Data Analysis in Tourism: Review and Future Directions. Tourism Analysis, 25(1), 153-168.

Dobrovolskaya, I., & Lyashenko, V. (2013). Interrelations of banking sectors of European economies as reflected in separate indicators of the dynamics of their cash flows influencing the formation of the resource potential of banks. European Applied Sciences, 1-2, 114-118.

Ferrer-Rosell, B., Coenders, G., & Martínez-Garcia, E. (2016). Segmentation by tourist expenditure composition: an approach with compositional data analysis and latent classes. Tourism Analysis, 21(6), 589-602.

Hashimli, M. (2019). Azerbaijan’s Tourism Sector–Opportunities and Obstacles. Available at SSRN 3485581.

Jahani, A., Goshtasb, H., & Saffariha, M. (2020). Tourism impact assessment modeling of vegetation density for protected areas using data mining techniques. Land Degradation & Development, 31(12), 1502-1519.

Kuzemin, A., & Lyashenko V. (2011). Microsituation Concept in GMES Decision Support Systems. In Intelligent Data Processing in Global Monitoring for Environment and Security, 217-238.

Kuzemin, A., Lуashenko, V., Bulavina, E., & Torojev, A. (2005). Analysis of movement of financial flows of economical agents as the basis for designing the system of economical security (general conception). In Third international conference «Information research, applications, and education, 27-30.

Li, D., Deng, L., & Cai, Z. (2020). Statistical analysis of tourist flow in tourist spots based on big data platform and DA-HKRVM algorithms. Personal and Ubiquitous Computing, 24(1), 87-101.

Li, J., Xu, L., Tang, L., Wang, S., & Li, L. (2018). Big data in tourism research: A literature review. Tourism Management, 68, 301-323.

Lyashenko, V. (2014). Efficiency of bank crediting of real sector of economy in the context of separate banking groups: an empirical example from Ukraine. International Journal of Accounting and Economics Studies, 2(2), 74-79.

McKercher, B., & Mak, B. (2019). The impact of distance on international tourism demand. Tourism Management Perspectives, 31, 340-347.

Pencarelli, T. (2020). The digital revolution in the travel and tourism industry. Information Technology & Tourism, 22(3), 455-476.

Shaidullina, R. M., & Ikhsanova, F. A. (2019). Application of mathematical methods in consumer choice theory in tourism sphere. Revista ESPACIOS, 40(13), 1-6.

Xu, F., Nash, N., & Whitmarsh, L. (2020). Big data or small data? A methodological review of sustainable tourism. Journal of Sustainable Tourism, 28(2), 144-163.

##submission.downloads##

Argitaratuta

2020-12-13