The continuous monitor of the territory and its local reality identifies the system of sustainable destinations in tourism. In this work, we aim to create a general overview of territorial tourist destinations in Albania, based on the specific characteristics of the territories. We therefore propose similarity group classifications of 61 municipalities in the country using data on the development of industries and services in Albania. The methodology used to subdivide the municipalities into clusters is Fuzzy c-medoid. This algorithm subdivides the objects of a dataset into c (or k) clusters, where an object can belong to several groups at the same time, associating a degree of probability. In the current literature there is a gap in the adoption of such methodologies to create geospatial classifications on the territorial's data of Albania. After the analysis has been completed, the results obtained are used to interpret the various factors that may have influenced the territory characteristics in the tourist destinations.

Classification of tourism destinations in Albanian’s territory

Najada Firza
;
Dante Mazzitelli
2023-01-01

Abstract

The continuous monitor of the territory and its local reality identifies the system of sustainable destinations in tourism. In this work, we aim to create a general overview of territorial tourist destinations in Albania, based on the specific characteristics of the territories. We therefore propose similarity group classifications of 61 municipalities in the country using data on the development of industries and services in Albania. The methodology used to subdivide the municipalities into clusters is Fuzzy c-medoid. This algorithm subdivides the objects of a dataset into c (or k) clusters, where an object can belong to several groups at the same time, associating a degree of probability. In the current literature there is a gap in the adoption of such methodologies to create geospatial classifications on the territorial's data of Albania. After the analysis has been completed, the results obtained are used to interpret the various factors that may have influenced the territory characteristics in the tourist destinations.
2023
9789928267627
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11586/476282
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