Understanding mobility patterns in the Spanish Pyrinees: a spatiotemporal analysis of ski resort areas and weather conditions

Abstract ID: 3.12041 | Accepted as Talk | Talk/Oral | TBA | TBA

Antoni Domènech (0)
Antoni Domènech ((0) Universitat Rovira i Virgili, Joanot Martorell 15, 43480, Vila-seca, Catalonia, ES)

(0) Universitat Rovira i Virgili, Joanot Martorell 15, 43480, Vila-seca, Catalonia, ES

Categories: Mobility, Tourism
Keywords: mobility patterns, ski resorts, Spanish Pyrenees, meteorology, spatiotemporal analysis

Categories: Mobility, Tourism
Keywords: mobility patterns, ski resorts, Spanish Pyrenees, meteorology, spatiotemporal analysis

The content was (partly) adapted by AI
Content (partly) adapted by AI

Mountain regions with ski resorts experience significant seasonal fluctuations in human mobility, influenced by meteorological conditions and snow availability. This study examines mobility patterns in selected areas of the Spanish Pyrenees, focusing on the relationship between spatiotemporal travel behavior, weather variables, and ski resort conditions. Using mobility data from the Spanish Ministry of Transport and meteorological records from AEMET, this research analyzes hourly travel flows to and from key ski resort destinations over a full calendar year. The study integrates indicators such as temperature, precipitation, and snowfall depth to assess their impact on visitor numbers. Additionally, data on ski resort operations (e.g., open slopes and ski lift availability) are incorporated to explore how infrastructure accessibility influences mobility trends. Preliminary findings suggest that mobility patterns strongly correlate with snow availability, particularly in peak winter months. Variations in temperature and precipitation also appear to play a crucial role in travel decisions, affecting both short-term visits and longer stays. The study further highlights differences between weekdays and weekends, as well as the impact of extreme weather events on visitor flows. By combining geospatial mobility data with real-time meteorological and resort conditions, this research provides valuable insights into how environmental factors shape tourism dynamics in mountain regions. The findings contribute to a better understanding of sustainable tourism management, helping stakeholders in ski resort planning, transportation optimization, and climate adaptation strategies.

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