Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Assessing tourism capital using two-tiered empirical model

Type de record:

paper
Créateur:
OthAmm
Éditeur:
EspInsUni
Éditeur:
CCSDEls
Hôte:avatar
International audience 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.

Visit

nantes-universite.hal.science

Tasks

computer visionimage classification

Tags

Tourism capitalVisual methodsDeep learningTime seriesInstagramZermat[SHS]Humanities and Social Sciences

Licenses

http://creativecommons.org/licenses/by-nc-nd/info:eu-repo/semantics/OpenAccess