Topic Modelling for Ski Resorts: An Analysis of Experience Attributes and Seasonality

Ziye Shang, Jian Ming Luo, Anthony Kong (Corresponding Author)

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

Knowing how to improve skiers’ experiences in ski resorts is vital for developing the ski industry. This study aims to provide a holistic understanding of the key attributes of skiers’ experiences and explore them in the context of seasonality. Based on the user-generated content of 14 ski resorts and the topic modelling and sentiment analysis method, a framework of skiing experience attributes was built. Compared with the seasonal data, the dynamic of skiers’ concerns and perceived performance was revealed. The skiers’ concerns in peak seasons and off seasons manifested different orientations. The results show that the relatively important attributes tend to have relatively low performance in the peak seasons. In off seasons, skiers emphasise non-skiing-oriented attributes. This study showcases that skier’s interests and evaluations of various experience attributes vary with seasons. The findings help to understand the skiers’ peak and supporting experiences, which could be used to build ski resorts management and seasonal hedging strategies.

Original languageEnglish
Article number3533
Number of pages15
JournalSustainability (Switzerland)
Volume14
Issue number6
DOIs
Publication statusPublished - 17 Mar 2022

Keywords

  • importance– performance analysis
  • seasonality
  • ski resort experience
  • topic modelling
  • user-generated content

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Renewable Energy, Sustainability and the Environment
  • Environmental Science (miscellaneous)
  • Energy Engineering and Power Technology
  • Management, Monitoring, Policy and Law

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