European Strategies for Adaptation to Climate Change with the Mayors Adapt Initiative by Self-Organizing Maps
| Autor: | Miguel L. Navarro-Ligero, Francisco Sergio Campos-Sánchez, Luis Miguel Valenzuela-Montes, Francisco Javier Abarca-Álvarez |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Value (ethics)
Artificial intelligence 0211 other engineering and technologies Vulnerability 02 engineering and technology adaptation 010501 environmental sciences 01 natural sciences lcsh:Technology lcsh:Chemistry Urban planning General Materials Science Instrumentation lcsh:QH301-705.5 Profiles media_common Self-Organizing Maps Fluid Flow and Transfer Processes General Engineering sustainability lcsh:QC1-999 Computer Science Applications European policies climate change Sustainability European Policies profiles Climate Change Climate change Context (language use) pattern urban planning Artificial Intelligence Political science media_common.cataloged_instance 021108 energy European union Adaptation (computer science) Environmental planning 0105 earth and related environmental sciences lcsh:T Pattern Process Chemistry and Technology lcsh:Biology (General) lcsh:QD1-999 lcsh:TA1-2040 lcsh:Engineering (General). Civil engineering (General) lcsh:Physics |
| Zdroj: | Digibug. Repositorio Institucional de la Universidad de Granada instname Applied Sciences Volume 9 Issue 18 Applied Sciences, Vol 9, Iss 18, p 3859 (2019) |
| Popis: | The European Union (EU) has assigned municipal governments a key role in the transformations needed to achieve its climate and energy objectives. One of the main initiatives of the EU has been the &ldquo The Covenant of Mayors&rdquo launched in 2008, with impacts beyond Europe due to integration with the &ldquo Global Covenant of Mayors for Climate and Energy&rdquo This research focuses on local measures to adapt to climate change, verifying their differences between themselves, and aims to identify and characterize patterns in the different adaptation strategies examined. Further aims are (i) the collection of good practices, framed in the Mayors Adapt initiative, managing multidimensional data from the context and from its adaptation proposals (ii) the classification of strategies in profiles and patterns using artificial neural networks based on the previous variables (iii) the characterization and comparison of such profiles. The results substantiate the existence of several well-differentiated approaches, connected with their geographical context, vulnerability and politics. These results provide valuable information for its interpretation and for the planning of climate change adaptation actions, highlighting the value of the creation of networks of institutional collaboration targeted at each strategic framework. |
| Databáze: | OpenAIRE |
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