Challenge for planning by using cluster methodology: the case study of the Algarve Region
| Autor: | David Bienvenido-Huertas, Elisa M. J. Silva, Miguel Oliveira, Fátima Farinha, Rui Lança |
|---|---|
| Přispěvatelé: | Universidad de Sevilla. Departamento de Construcciones Arquitectónicas II (ETSIE) |
| Rok vydání: | 2020 |
| Předmět: |
Algarve (Portugal)
Impacto medioambiental The Algarve region Geography Planning and Development Sustainable tourism Ecoturismo TJ807-830 010501 environmental sciences Management Monitoring Policy and Law TD194-195 Disease cluster 01 natural sciences Renewable energy sources Análisis estadístico OBSERVE Platform Cluster analysis 0502 economics and business Similarity (psychology) the algarve region Sustainability indicators GE1-350 sustainable tourism 3308.04 Ingeniería de la Contaminación 0105 earth and related environmental sciences 3305.37 Planificación Urbana sustainability indicators Environmental effects of industries and plants Renewable Energy Sustainability and the Environment business.industry 05 social sciences Environmental resource management Pillar Sostenibilidad Environmental sciences Data set Turismo sostenible observe platform Geography Sustainability Turismo [5312.90 Economía Sectorial] business 050212 sport leisure & tourism Tourism cluster analysis |
| Zdroj: | idUS. Depósito de Investigación de la Universidad de Sevilla instname idUS: Depósito de Investigación de la Universidad de Sevilla Universidad de Sevilla (US) RIARTE Consejo General de la Arquitectura Técnica de España (CGATE) Sustainability, Vol 12, Iss 4, p 1536 (2020) Sustainability Volume 12 Issue 4 |
| Popis: | 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 dierent 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 dierent 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. © 2020 by the authors. |
| Databáze: | OpenAIRE |
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