Work

Modeling Demand for Tourism Services

Year: 2025

Type: conference-paper

Abstract: Tourism is a critical sector in the global economy, contributing to GDP growth, employment, and infrastructure development. As global competition intensifies, accurate forecasting of tourism demand becomes vital for strategic decision-making. The aim of this research is to identify key factors influencing tourism demand, analyze existing modeling methods, and develop an econometric model to predict international tourist arrivals, with a particular focus on the CIS countries from 2001 to 2020.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15421507

Author: 1Nikonorov Sergey Mikhailovich, 2Ochilov Akram Ochilov, 3Garakhanova Rena, 4Bagirova Maryam

Language: English

Topic: Diverse Aspects of Tourism Research

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W6912000928

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