Assessing tourism capital using two-tiered empirical model

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 techni...

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Main Authors: Wadie Othmani, Rym Ammar
Format: Article
Language:English
Published: Elsevier 2024-11-01
Series:Annals of Tourism Research Empirical Insights
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666957924000132
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author Wadie Othmani
Rym Ammar
author_facet Wadie Othmani
Rym Ammar
author_sort Wadie Othmani
collection DOAJ
description 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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spelling doaj.art-62e94a77b4ef489ca392994ff849fec42024-04-08T04:08:42ZengElsevierAnnals of Tourism Research Empirical Insights2666-95792024-11-0152100131Assessing tourism capital using two-tiered empirical modelWadie Othmani0Rym Ammar1Higher Institute of Environmental Technologies, Urban Planning and Buildings (ISTEUB), Member of urban planning department, Tunisia; Systemic and Design Sciences (UMRAN) laboratory, formerly known as GADEV laboratory (University of Carthage-Tunis) and of the UMR CNRS 6590 ESO, University of Anger, France; Corresponding author.Esprit School of Business, Department of Computer Science and Applied Mathematics (IMA), El Ghazela, Ariana, Tunisia; Tunis Business School, Laboratory BADEM, University of Tunis, El Mourouj, TunisiaThe 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.http://www.sciencedirect.com/science/article/pii/S2666957924000132Tourism capitalVisual methodsDeep learningTime seriesInstagramZermatt
spellingShingle Wadie Othmani
Rym Ammar
Assessing tourism capital using two-tiered empirical model
Annals of Tourism Research Empirical Insights
Tourism capital
Visual methods
Deep learning
Time series
Instagram
Zermatt
title Assessing tourism capital using two-tiered empirical model
title_full Assessing tourism capital using two-tiered empirical model
title_fullStr Assessing tourism capital using two-tiered empirical model
title_full_unstemmed Assessing tourism capital using two-tiered empirical model
title_short Assessing tourism capital using two-tiered empirical model
title_sort assessing tourism capital using two tiered empirical model
topic Tourism capital
Visual methods
Deep learning
Time series
Instagram
Zermatt
url http://www.sciencedirect.com/science/article/pii/S2666957924000132
work_keys_str_mv AT wadieothmani assessingtourismcapitalusingtwotieredempiricalmodel
AT rymammar assessingtourismcapitalusingtwotieredempiricalmodel