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http://hdl.handle.net/10071/31826
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Campo DC | Valor | Idioma |
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dc.contributor.author | Medeiros, E. | - |
dc.contributor.editor | Eleonora Bertoni | - |
dc.contributor.editor | Matteo Fontana | - |
dc.contributor.editor | Lorenzo Gabrielli | - |
dc.contributor.editor | Serena Signorelli | - |
dc.contributor.editor | Michele Vespe | - |
dc.date.accessioned | 2024-06-05T09:12:03Z | - |
dc.date.available | 2024-06-05T09:12:03Z | - |
dc.date.issued | 2023 | - |
dc.identifier.citation | Medeiros, E. (2023). Data and modelling for the Territorial Impact Assessment (TIA) of policies. In E. Bertoni, M. Fontana, L. Gabrielli, S. Signorelli, & M. Vespe (Eds.) Handbook of computational social science for policy (pp. 177-194). Springer. https://doi.org/10.1007/978-3-031-16624-2_9 | - |
dc.identifier.isbn | 978-3-031-16623-5 | - |
dc.identifier.uri | http://hdl.handle.net/10071/31826 | - |
dc.description.abstract | Territorial Impact Assessment (TIA) is still a ‘new kid on the block’ on the panorama of policy evaluation methodologies. In synthesis, TIA methodologies are thematically holistic, multi-dimensional and require the analysis of a wide pool of data, not only of economic character, but also related with social, environmental, governance and planning processes, in all territorial scales. For that, TIA requires a wealth of comparable and updated territorialised data. Here, data availability is often scarce in many of the selected analytic dimensions and respective components, to assess territorial impacts in a given territory, in particular in the domains of governance, planning and environment. In this context, this chapter presents a list of non-traditional potential indicators which can be used in existing TIA methodologies, Moreover, the analysis was able to show how important can be the use of non-traditional data, to complement mainstream statistical indicators associated with socioeconomic development trends. However, for the interested scientist, the dispersal of existing non-traditional data per a multitude of sources can pose a huge challenge. Hence the need of an online platform which centralises and updates non-traditional data for the use of all interested in implementing TIA methodologies. | eng |
dc.language.iso | eng | - |
dc.publisher | Springer | - |
dc.relation.ispartof | Handbook of computational social science for policy | - |
dc.rights | openAccess | - |
dc.subject | Territorial Impact Assessment | eng |
dc.subject | TIA | eng |
dc.subject | Policies | eng |
dc.subject | Statistics | - |
dc.title | Data and modelling for the Territorial Impact Assessment (TIA) of policies | eng |
dc.type | bookPart | - |
dc.event.location | Cham | eng |
dc.pagination | 177 - 194 | - |
dc.peerreviewed | yes | - |
dc.date.updated | 2024-06-05T10:08:06Z | - |
dc.description.version | info:eu-repo/semantics/publishedVersion | - |
dc.identifier.doi | 10.1007/978-3-031-16624-2_9 | - |
dc.subject.fos | Domínio/Área Científica::Ciências Naturais::Matemáticas | por |
dc.subject.fos | Domínio/Área Científica::Ciências Sociais::Geografia Económica e Social | por |
dc.subject.fos | Domínio/Área Científica::Ciências Sociais::Outras Ciências Sociais | por |
iscte.subject.ods | Erradicar a pobreza | por |
iscte.subject.ods | Educação de qualidade | por |
iscte.subject.ods | Cidades e comunidades sustentáveis | por |
iscte.identifier.ciencia | https://ciencia.iscte-iul.pt/id/ci-pub-94201 | - |
iscte.alternateIdentifiers.scopus | 2-s2.0-85160474184 | - |
Aparece nas coleções: | DINÂMIA'CET-CLI - Capítulos de livros internacionais |
Ficheiros deste registo:
Ficheiro | Tamanho | Formato | |
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bookPart_94201.pdf | 364,61 kB | Adobe PDF | Ver/Abrir |
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