结合人工智能和数学模型的力量:一种增强旅游收入预测的混合技术

IF 2.9 Q2 HOSPITALITY, LEISURE, SPORT & TOURISM
Ferhat Şeker
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引用次数: 0

摘要

尽管冰岛是世界上游客最多的国家之一,但它在旅游收入中所占的份额却排不进前十。因此,研究旅游支出是值得的,分析这些数据可以提供有价值的见解。本研究开发了一种通过分析支出类型来估计和模拟旅游收入的新方法。基于人工智能的方法,如机器学习,已越来越多地用于旅游文献,以改善该行业的各个方面。然而,很少有研究使用混合方法来建模和估计游客的支出。本文首次将传统的数学分析,特别是一阶两变量多项式方程,与基于人工智能的机器学习算法结合在一起。研究结果表明,住宿、餐饮等消费类型;饮料对瑞光叶的旅游收入影响显著,到2027年,瑞光叶的旅游总收入不会超过450亿美元。这项研究为提高旅游经济管理方法的准确性和效率提供了宝贵和实际的贡献,特别是在经济严重依赖旅游业收入的欧洲国家。此外,它通过将人工智能和传统分析相结合,填补了专注于游客消费类型研究的空白,使其成为一项独特的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Combining the power of artificial intelligence and mathematical modelling: A hybrid technique for enhanced forecast of tourism receipts
Despite being one of the most visited countries in the world, Türkiye's share of tourism revenue does not rank among the top ten. Therefore, it would be worth researching tourist expenditures and analysing this data could provide valuable insights. This research develops a novel approach to estimating and modelling tourism receipts by analysing expenditure types. Artificial intelligence-based methods, such as machine learning, have been increasingly used in the tourism literature to improve various aspects of the industry. However, little research has been conducted using a hybrid method to model and estimate tourist expenditure. This paper is the first to combine conventional mathematical analysis, specifically first-order two-variable polynomial equations, with artificial intelligence-based machine learning algorithms in a tourism setting. The research results indicate that expenditure types such as accommodation and food & beverage significantly impact Türkiye's tourism revenue and Türkiye's total tourism revenue will not exceed 45 billion dollars by 2027. This study provides a valuable and practical contribution to improving the accuracy and efficiency of methods for managing tourism economics, particularly in European countries where the economy heavily relies on income generated by tourism. Additionally, it fills a gap in studies focused on tourists' expenditure types by combining artificial intelligence and traditional analysis, making it a unique piece of research.
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来源期刊
European Journal of Tourism Research
European Journal of Tourism Research HOSPITALITY, LEISURE, SPORT & TOURISM-
CiteScore
5.00
自引率
8.70%
发文量
50
审稿时长
25 weeks
期刊介绍: The European Journal of Tourism Research is an open access academic journal in the field of tourism, published by Varna University of Management, Bulgaria. Its aim is to provide a platform for discussion of theoretical and empirical problems in tourism. Publications from all fields, connected with tourism such as tourism management, tourism marketing, tourism sociology, psychology in tourism, tourism geography, political sciences in tourism, mathematics, tourism statistics, tourism anthropology, culture and tourism, heritage and tourism, national identity and tourism, information technologies in tourism and others are invited.
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