Assessing tourism capital using two-tiered empirical model

IF 4 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Annals of Tourism Research Empirical Insights Pub Date : 2024-04-06 DOI:10.1016/j.annale.2024.100131
Wadie Othmani , Rym Ammar
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Abstract

The study aims to develop a novel approach to assess Tourism Capital in resort areas, specifically Zermatt-Matterhorn, between 2014 and 2021. This approach integrates a two-tiered empirical model, where the first tier involves CNN-based image analysis, and the second tier employs mathematical techniques and time-series social media data to evaluate stakeholder engagement. The research emphasizes how fluctuations in tourism capital are influenced by stakeholder interactions and external events, highlighting the significance of empirical and quantitative approaches in understanding tourism dynamics. The findings underscore the substantial role of stakeholder engagement in shaping overall tourism capital, offering a practical and dynamic tool for tourism analysis and urban planning. This study innovatively assesses Tourism Capital by analyzing Instagram images, offering a more in-depth, data-driven view of tourism development in resorts.

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利用双层实证模型评估旅游资本
本研究旨在开发一种新方法,用于评估 2014 年至 2021 年度假区(特别是策马特-马特洪峰)的旅游资本。该方法整合了一个双层实证模型,第一层涉及基于 CNN 的图像分析,第二层采用数学技术和时间序列社交媒体数据来评估利益相关者的参与度。研究强调了旅游资本的波动如何受到利益相关者互动和外部事件的影响,突出了实证和定量方法在理解旅游业动态方面的重要性。研究结果强调了利益相关者的参与在塑造整体旅游资本中的重要作用,为旅游分析和城市规划提供了一个实用的动态工具。本研究通过分析 Instagram 图片创新性地评估了旅游资本,为度假胜地的旅游发展提供了更深入的数据驱动视角。
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来源期刊
Annals of Tourism Research Empirical Insights
Annals of Tourism Research Empirical Insights Social Sciences-Sociology and Political Science
CiteScore
5.30
自引率
0.00%
发文量
44
审稿时长
106 days
期刊最新文献
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