Abstract

This study analyses the most appropriate methodology to make similarity classifications among the cities of the Algarve (Portugal) according to 105 sustainability indicators monitored with the Observatory of Sustainability of the Algarve Region for Tourism (OBSERVE). The methodology used to establish the similarities was the cluster analysis with 4 different approaches which reduced the dimensions of the data set: total approach, pillar approach, subject area approach, and indicator approach. By combining the approaches, a total of 620 different cluster analyses were performed. The results reflected that the data analysis approaches with less dimensions were those that performed the best groups among cities. In this sense, the approaches with a high number of indicators (e.g., the total or the pillar approach) were characterised by misclassifying cities in more than 30% of the indicators. Thus, the most acceptable cluster analysis approach was that with a low number of indicators. Through this approach, it was possible to make correct groups of the sustainability level of the cities of the Algarve. These results provided an appropriate methodology for the decision-making regarding the sustainability of a region and could be extrapolated to other regions to assess sustainability or environmental indicators.

Highlights

  • Several cluster analyses were used to explore the similarities among cities of the Algarve region based on the monitoring of sustainability indicators

  • The cluster analysis algorithm used was k-means, and 4 different approaches were used to reduce the number of dimensions of the dataset

  • The results showed that the use of approaches including a high number of variables in the cluster analysis usually leads to incorrect groups in cities

Read more

Summary

Introduction

The sustainable development of societies is an important issue belonging to the governmental policy to achieve a more sustainable development. In this regard, one of the activities of the cities which significantly influences their sustainability level is their tourist activity [1,2,3]. Tourist offers in regions or cities should be managed in a broader sustainability context [9], guaranteeing the economic advancement of such activities [10]. Improving the sustainability usually leads to an improvement of competitiveness [11,12]

Objectives
Methods
Results
Conclusion

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.