<abstract xmlns="http://www.w3.org/1999/xhtml"><bold>Research background:</bold> Lesser Poland is one of the most visited regions in Poland. Among the reasons why it is so, there are a variety of attractions located in this voivodeship and also the activities taken by local government, for which the development of the tourism industry is one of the key goals.<bold>Purpose:</bold> Building a ranking of poviats of Lesser Poland in terms of tourist attractiveness.<bold>Research methodology:</bold> Selected multivariate analysis tools, i.e. three methods of linear ordering and cluster analysis.<bold>Results:</bold> Using the Ward algorithm, poviats are grouped into four clusters of areas with similar characteristics due to tourist values. In addition, using three linear ordering techniques, poviats of the Lesser Poland voivodeship are ordered according to tourist attractiveness. The results of ordering are rather consistent and indicate that the most attractive poviats are: nowotarski, oświęcimski, tatrzański and the city of Kraków. Interestingly, these areas belong to three different groups obtained as part of a cluster analysis. This means that Lesser Poland is a diversified region in terms of the attractions that draw tourists’ to the area.<bold>Novelty:</bold> The study of tourist attractiveness using linear ordering techniques is not an original topic. The thesis is of cognitive value and fills a gap in the literature, in which there are no studies based on data from Lesser Poland.</abstract>

Research background: Lesser Poland is one of the most visited regions in Poland. Among the reasons why it is so, there are a variety of attractions located in this voivodeship and also the activities taken by local government, for which the development of the tourism industry is one of the key goals.Purpose: Building a ranking of poviats of Lesser Poland in terms of tourist attractiveness.Research methodology: Selected multivariate analysis tools, i.e. three methods of linear ordering and cluster analysis.Results: Using the Ward algorithm, poviats are grouped into four clusters of areas with similar characteristics due to tourist values. In addition, using three linear ordering techniques, poviats of the Lesser Poland voivodeship are ordered according to tourist attractiveness. The results of ordering are rather consistent and indicate that the most attractive poviats are: nowotarski, oświęcimski, tatrzański and the city of Kraków. Interestingly, these areas belong to three different groups obtained as part of a cluster analysis. This means that Lesser Poland is a diversified region in terms of the attractions that draw tourists’ to the area.Novelty: The study of tourist attractiveness using linear ordering techniques is not an original topic. The thesis is of cognitive value and fills a gap in the literature, in which there are no studies based on data from Lesser Poland.

An Analysis of Tourist Attractiveness of Poviats of the Lesser Poland Voivodeship

Faculty of Management, Department of Applications of Mathematics In Economics

Folia Oeconomica Stetinensia

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Research background: Lesser Poland is one of the most visited regions in Poland. Among the reasons why it is so, there are a variety of attractions located in...

An Analysis of Tourist Attractiveness of Poviats of the Lesser Poland Voivodeship

Published Online: Aug 20, 2020

Page range: 506 - 518

Received: Oct 15, 2019

Accepted: Mar 30, 2020

DOI: https://doi.org/10.2478/foli-2020-0029

Keywords
tourist attractiveness, linear ordering, cluster analysis

© 2020 Jacek Wolak, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

An Analysis of Tourist Attractiveness of Poviats of the Lesser Poland Voivodeship

Published Online: Aug 20, 2020

Page range: 506 - 518

Received: Oct 15, 2019

Accepted: Mar 30, 2020

DOI: https://doi.org/10.2478/foli-2020-0029

Keywordstourist attractiveness, linear ordering, cluster analysis

© 2020 Jacek Wolak, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Keywords
tourist attractiveness, linear ordering, cluster analysis