Tourism Market of the Russian Federation: Analysis of Interactions between Outbound and Domestic Tourism using Neural Networks

Милорадов, К. А.; Eidlina, Galina Mikhailovna

doi:10.17485/ijst/2016/v9i27/97698

Cited by 4 publications

(4 citation statements)

References 13 publications

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“…In the publications of many practitioners of tourism branding, and some theorists, the symbol of the city as a tourist destination is often identified with the brand of the city (Miloradov & Eidlina, 2016;Prokopenko et al, 2019). In opposition to this substitution of concepts, most influential theorists consider the symbol, the image of the city, as one of several dimensions of the brand of the city, moreover, this dimension is very important (Almeyda & George, 2017).…”

Section: Literature Reviewmentioning

confidence: 99%

Topical symbols of Kyiv as a tourism brand

et al. 2021

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The attention to branding, from theorists as well as from practitioners, had been remained at a very high level for the 2000s and 2010s. There many new branches of branding theory have emerged, and place branding was among them. Actually, place branding has become an umbrella term, a generic definition for three areas of study and practice: nation branding, region branding, and city branding. Every year, new scientific, journalistic, business articles and books on place branding emerge, there are even several specialized periodicals devoted to this field of branding. This study aims to identify the most relevant and effective symbol of the Ukrainian capital city Kyiv (Kiev) as a tourism brand. Questionnaire surveys and the content analysis of literature and mass media are used. Key segments and sub-segments of the target audience of Kyiv tourism branding are determined, as well as the key factor of influence on the formation of the opinion regarding the tourism symbols of Kyiv. The most common popular symbol is compared with the real resources of the city. Thus, a set of relevances is found appropriate for the development of effective branding of Kyiv.

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Section: Literature Reviewmentioning

confidence: 99%

Topical symbols of Kyiv as a tourism brand

et al. 2021

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“…The proposed structure of the neural networks is presented in figure 1 3 After a structure for a neural network is selected, the network has to be trained. Training of a neural network in the course of action is conducted in accordance with the back propagation algorithm [13][14] with organizational changes induced during the training. After modification of the training algorithm, the training includes the following two stages:…”

Section: Synthesis Of the Neural Network To Diagnose The Lining Condimentioning

confidence: 99%

Neural network to diagnose lining condition

Yemelyanov

Yemelyanova

Nedelkin

et al. 2018

IOP Conf. Ser.: Mater. Sci. Eng.

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Abstract. The paper presents data on the problem of diagnosing the lining condition at the iron and steel works. The authors describe the neural network structure and software that are designed and developed to determine the lining burnout zones. The simulation results of the proposed neural networks are presented. The authors note the low learning and classification errors of the proposed neural networks. To realize the proposed neural network, the specialized software has been developed.

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“…She found different mobility patterns that second home owners from Russia represent in Finland. Some articles examine Russian tourism development and future tourism forecasting (Furmanov, Balaeva & Predvoditeleva, 2012;Miloradov & Eidlina, 2016). According to these studies, the role of Russian domestic tourism increases but the decrease of outbound tourism does not automatically affect the grow of domestic tourism (Miloradov & Eidlina, 2016).…”

Section: Russian Touristsmentioning

confidence: 99%

“…Some articles examine Russian tourism development and future tourism forecasting (Furmanov, Balaeva & Predvoditeleva, 2012;Miloradov & Eidlina, 2016). According to these studies, the role of Russian domestic tourism increases but the decrease of outbound tourism does not automatically affect the grow of domestic tourism (Miloradov & Eidlina, 2016). The tourism is the current and future trend for Russians, considered that Russians are now familiar with tourism, as only in the 2000s did they start to travel in general (Lysikova, 2012).…”

Section: Russian Touristsmentioning

confidence: 99%

Russian Women Traveling: A Sociocultural Perspective

Miettinen¹

2017

Consumer Behavior in Tourism and Hospitality Research

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Tourism Market of the Russian Federation: Analysis of Interactions between Outbound and Domestic Tourism using Neural Networks

Cited by 4 publications

References 13 publications

Topical symbols of Kyiv as a tourism brand

Topical symbols of Kyiv as a tourism brand

Neural network to diagnose lining condition

Russian Women Traveling: A Sociocultural Perspective

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