Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10071/31826
Autoria: | Medeiros, E. |
Editor: | Eleonora Bertoni Matteo Fontana Lorenzo Gabrielli Serena Signorelli Michele Vespe |
Data: | 2023 |
Título próprio: | Data and modelling for the Territorial Impact Assessment (TIA) of policies |
Título e volume do livro: | Handbook of computational social science for policy |
Paginação: | 177 - 194 |
Referência bibliográfica: | 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 |
ISBN: | 978-3-031-16623-5 |
DOI (Digital Object Identifier): | 10.1007/978-3-031-16624-2_9 |
Palavras-chave: | Territorial Impact Assessment TIA Policies Statistics |
Resumo: | 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. |
Arbitragem científica: | yes |
Acesso: | Acesso Aberto |
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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