Multiple Regression Method for Analyzing the Tourist Demand Considering the Influence Factors

Krylov, Victor; Sachenko, Anatoliy; Strubytskyi, Pavlo; Lendyuk, Taras; Lipyanina, Hrystyna; Zahorodnia, Diana; Dorosh, Vitaliy

doi:10.1109/idaacs.2019.8924461

Cited by 7 publications

(2 citation statements)

References 11 publications

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“…he social sphere includes people's attitudes towards culture, art, and tourism [18,19], as well as an assessment of personal safety, the education system and personal education, the healthcare system and personal health, amenities and living conditions [16], and transport.…”

Section: Concept Of An Intelligent Information System For the City's ...mentioning

confidence: 99%

Intelligent information system of the city's socio-economic infrastructure

Lipianina-Honcharenko,

Bodyanskiy,

Sachenko

2023

SRIT

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Urban development is an important problem that can be solved with the help of intelligent information systems. Such systems ensure efficient management of the city’s diverse infrastructure. The researchers developed a concept of such an information system based on a conceptual model and using data flow for intelligent decision-making. The system was tested for 1460 days in the city of Ternopil. The modelling results showed that the city’s central area is stable, with 50% of enterprises in the “growing” state and 70% of people in the “satisfactory” state. People often move to the northeastern and western zones due to higher levels of comfort and more affordable housing. However, the total distance of car trips has increased by 249%, negatively impacting the environment. The condition of enterprises in other zones is less stable with lower “growth” indicators, but there are zones with “stable” and “satisfactory” conditions.

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Section: Concept Of An Intelligent Information System For the City's ...mentioning

confidence: 99%

Intelligent information system of the city's socio-economic infrastructure

Lipianina-Honcharenko,

Bodyanskiy,

Sachenko

2023

SRIT

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“…The paper [11] compares the characteristics of both traditional tourist information services and those included in smart tourism. In [20] the information technologies for modeling of tourist demand taking into account the characteristics of the most important factors are presented. The paper [14] highlights the support of decisionmaking on the tourist route based on the model of buffer analysis of neural networks.…”

Section: Related Workmentioning

confidence: 99%

Concept of the Intelligent Guide with AR Support

Lipianina-Honcharenko¹,

Savchyshyn²,

Sachenko³

et al. 2022

IJC

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In order to save time and money for tourists, as well as taking into account their limited mobility in the conditions of Covid, the concept of an intelligent guide based on augmented reality (AR) is proposed. A UML method diagram and algorithm for communication of the system with the user with AR and voice control support have been developed, as well as an application that allows tourists to immerse themselves in the historical retrospective of recreational places. On the example of the central part (downtown) of Ternopil, Ukraine, AR locations are offered, which gives an opportunity to get acquainted in more detail with the information about the tourist object. At the same time, the shortest tourist route is illuminated of historical monuments.

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