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<p>The tourism industry plays a significant role in the global economy, contributing not only to economic growth but also to sociocultural advancement. However, the emergence of a new highly contagious disease, COVID-19, triggered a dual crisis, affecting both public health and financial stability worldwide. In spite of this fact, global tourism has shown remarkable resilience. Following several years of severe decline, the industry has experienced a revival, marked by the resurgence of international travel and the strengthening of key tourism trends. Although much research has examined the impact of the pandemic on tourism, comparatively few studies provide direct comparative analyses. In the article, the authors employ conditional inference trees to compare tourist segmentation based on pre- and post-pandemic travel data. The study examines tourist behaviour in Poland using representative survey data collected in 2019 and 2023. The aim is to identify key factors shaping the travel purpose and type, and how these patterns evolved before and after the pandemic. The analysis of six classification models shows that tourist segmentation in both years was primarily driven by travel-related characteristics such as the means of transport, the distance travelled, the number of overnight stays, and the travel purpose. Demographic factors played a minor role. The findings highlight the growing importance of organisational factors in tourist decision making and suggest a post-pandemic convergence of travel behaviours across demographic groups. These insights may support more inclusive tourism strategies in Poland and assist tourism associations and travel agencies in tailoring their offerings to better reflect changing tourist preferences.</p>

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Reconfiguring Tourist Segments: A Conditional Inference Tree Analysis of Polish Travel Patterns Before and After COVID-19

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月14日

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  • Elżbieta Roszko-Wójtowicz,
  • Justyna Mokras-Grabowska,
  • Maria M. Grzelak,
  • Aleksandra Mroczek-Żulicka

摘要

The tourism industry plays a significant role in the global economy, contributing not only to economic growth but also to sociocultural advancement. However, the emergence of a new highly contagious disease, COVID-19, triggered a dual crisis, affecting both public health and financial stability worldwide. In spite of this fact, global tourism has shown remarkable resilience. Following several years of severe decline, the industry has experienced a revival, marked by the resurgence of international travel and the strengthening of key tourism trends. Although much research has examined the impact of the pandemic on tourism, comparatively few studies provide direct comparative analyses. In the article, the authors employ conditional inference trees to compare tourist segmentation based on pre- and post-pandemic travel data. The study examines tourist behaviour in Poland using representative survey data collected in 2019 and 2023. The aim is to identify key factors shaping the travel purpose and type, and how these patterns evolved before and after the pandemic. The analysis of six classification models shows that tourist segmentation in both years was primarily driven by travel-related characteristics such as the means of transport, the distance travelled, the number of overnight stays, and the travel purpose. Demographic factors played a minor role. The findings highlight the growing importance of organisational factors in tourist decision making and suggest a post-pandemic convergence of travel behaviours across demographic groups. These insights may support more inclusive tourism strategies in Poland and assist tourism associations and travel agencies in tailoring their offerings to better reflect changing tourist preferences.