Application of GIS Technologies in Tourism Planning and Sustainable Development: A Case Study of Gelnica
This study examines the application of Geographic Information Systems (GIS) in tourism planning and sustainable destination management, using Gelnica, Slovakia, as a case study. The research highlights a key challenge—the absence of systematic visitor data collection—which hinders tourism market analysis, demand assessment, and strategic decision-making. The study integrates alternative data sources, including the Google Places API, to address this gap to analyse Points of Interest (POIs) based on user-generated reviews, ratings, and spatial attributes. The methodological framework combines data acquisition, spatial analysis, and GIS-based visualisation, employing thematic and heat maps to assess tourism resources and visitor behaviour. The findings reveal critical spatial patterns and tourism dynamics, identifying high-demand zones and underutilised locations. Results underscore the potential of GIS to optimise tourism infrastructure, enhance visitor management, and inform evidence-based decision-making. This study advocates for systematically integrating GIS technologies with visitor monitoring and digital tools to improve destination competitiveness and sustainability. The proposed GIS-driven approach offers a scalable and transferable model for data-informed tourism planning in similar historic and environmentally sensitive regions.
Authors
- Csaba Sidor (ORCID: https://orcid.org/0000-0003-2192-4790)
- Ľubomír Štrba (ORCID: https://orcid.org/0000-0002-9233-1370)
- Marieta Šoltésová (ORCID: https://orcid.org/0000-0003-3402-3879)
- Barbora Iannaccone (ORCID: https://orcid.org/0000-0001-8664-8710)
Institutions
- Technical University of Košice (SK)
Publication Details
- Journal
- ISPRS International Journal of Geo-Information
- Published
- 2025-03-06
- DOI
- https://doi.org/10.3390/ijgi14030120
- Citations
- 9
- Primary Topic
- Diverse Aspects of Tourism Research
- Type
- article
- Field-Weighted Citation Impact
- 37.81