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Cluster-mapping procedure for tourism regions based on geostatistics and fuzzy clustering: example of Polish districts

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  • Justyna Majewska
  • Szymon Truskolaski

Abstract

In tourism, the phenomenon of spatial agglomeration (concentration of economic activity) spreads beyond the borders of the territorial units. It is referred to as geographic ‘spillovers’ that enhances spatial interdependence and functional relationship of neighbouring regions. Within the standard procedure of cluster-mapping, only concentration inside a territorial unit may be analysed which is a source of biased results in tourism studies. However, tourist agglomeration centres sometimes occur at the juncture of territorial units and the economic entities located in them form spatial clusters with a different degree of membership to several centres of agglomerations located in the neighbourhood. Therefore, we propose to measure ‘inter-regional’ agglomeration in tourism providing modification of spatial autocorrelation measures (regarding neighbourhood and distance). In order to measure neighbourhood more precisely, we use geostatistical information (global positioning system (GPS) coordinates of tourism entities) and geographically weighted fuzzy clustering approach (FGWC). We examine the method on the example of Polish districts (NUTS-4) using database of 131,338 firms registered in section I (accommodation and food services) of Polish Classification of Activity in 2015. The results proved that a novel method of cluster-mapping considering spatial dependency combined with geographic information system (GIS) and FGWC method increases the accuracy of the identification of tourism clusters (inter-regional agglomeration).

Suggested Citation

  • Justyna Majewska & Szymon Truskolaski, 2019. "Cluster-mapping procedure for tourism regions based on geostatistics and fuzzy clustering: example of Polish districts," Current Issues in Tourism, Taylor & Francis Journals, vol. 22(19), pages 2365-2385, November.
    • Handle: RePEc:taf:rcitxx:v:22:y:2019:i:19:p:2365-2385
    DOI: 10.1080/13683500.2018.1467883
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    Cited by:

    1. Alaimo, Leonardo Salvatore & Levantesi, Susanna & Nigri, Andrea, 2024. "Fuzzy clustering of the healthy life expectancy decomposition: A multi-population analysis," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    2. Stoffelen, Arie, 2024. "A REVIEW OF TOURISM AND BORDERING PROCESSES: Launching the Annals of Tourism Research Curated Collection on tourism and territorial borders," Annals of Tourism Research, Elsevier, vol. 105(C).

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