Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13087/2816
Title: Spatial analysis of the relationship between tourist attractions and tourist flows in Turkey
Authors: Karagöz, Deniz
Aktaş, Semra Günay
Mert Kantar, Yeliz
Keywords: Attractions
Exploratory spatial data analysis
Spatial regression analysis
Spectral clustering
Tourist flows
Issue Date: 2022
Publisher: Varna University of Management
Abstract: This study is intended to examine the relationship between tourist attractions (natural, cultural and historical) and tourist flows. In the study, secondary data for six provinces and 110 sub-provinces in the Southwestern Anatolia region of Turkey, visited by local and foreign tourists, are used. Four of these provinces have a coastline to the Aegean Sea and the Mediterranean. In this context, overnight data of tourists for 110 sub-provinces and the printed and online materials and overnight data of tourists are used to identify attractions. In this study, mapping analysis, local and global Moran’s I, the classical regression and spatial regression models are benefited. Primarily, the spillover of attractions through maps and the distribution of tourist flows are presented in the study. When the relationship between tourist attractions and tourist flows are examined, the results of our analyses show that the Global Moran’s I value is 0.25 and that those 110 sub-provinces could be similar in terms of tourist flow. It was determined whether there is a global clustering based on Global Moran’s I value, and then the similar clusters, that is, similar sub-provinces in terms of tourist flow, were determined using the spectral clustering method. In addition, the neighborhood relationship and neighborhood interactions in terms of tourist flow are determined using local indicators of spatial analysis (LISA) alongside the Spectral Clustering Method. Finally, in the study field, the relationship between cultural, historical, and natural tourist attractions and tourist flow is explained using the classical regression model and the spatial regression model. The spatial-based models, especially the SEM, improve the model performance compared to the corresponding OLS model. In conclusion, it is found that there is a positive correlation between tourist flows and natural and historical attractions of the region, but a negative relationship between tourist flows and cultural attractions. Destination management implications are discussed. © 2022 The Author(s).
URI: https://doi.org/10.54055/ejtr.v31i.2745
https://hdl.handle.net/20.500.13087/2816
ISSN: 19947658
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu

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