Tourism planning in the Azores and feedback from visitors
DOI:
https://doi.org/10.18089/tms.2021.170201Keywords:
tourism planning, surveys, tourist experiences, tourism competitivenessAbstract
Abstract
Tourism planning is increasingly a fundamental process for qualifying and increasing the competitiveness of tourist destinations, especially when it is required to take into account the new needs of tourists and the global trend towards meeting the principles of sustainable tourism. This study aims to analyse the improvements that, in the opinion of visitors, should be implemented in Ponta Delgada, the largest hub of tourism activity in the Azores (Portugal), detecting differences between specific groups of visitors, in order to contribute to territorial organisation and the optimisation of tourism experiences. 400 answers to a survey distributed among tourists who visited this Azorean municipality were analysed, using several statistical methods, such as the chi-square test of independence and some Hierarchical Cluster Analysis algorithms. The main conclusions refer to the statistically significant associations between the mean of transport used to travel and views of some aspects to be improved, with signs of patterns in visits and critical attitude.
Resumo
O planeamento turístico é cada vez mais um processo fundamental para a qualificação e aumento de competitividade dos destinos turísticos, principalmente quando há que ter em conta as novas necessidades dos turistas e a tendência global de atender aos princípios do turismo sustentável. Este estudo pretende analisar as melhorias que, na opinião dos visitantes, devem ser implementadas em Ponta Delgada, o maior polo dinamizador da atividade turística dos Açores, contribuindo, assim, para a organização territorial e para a valorização das experiências turísticas. Foram analisadas as respostas de 400 questionários administrados a turistas que visitaram este concelho, utilizando diversos métodos estatísticos, de onde se destacam o teste de independência do qui-quadrado e alguns algoritmos de Análise Classificatória Hierárquica Ascendente. As principais conclusões referem-se à existência de associações estatisticamente significativas entre o meio de transporte utilizado para viajar e as perceções acerca de alguns aspetos que podem ser melhorados.
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