Territorial Impact Assessment (TIA) is still a ʼnew kid on the block’ on the panorama of policy evaluation methodologies. In synthesis, TIA methodologies are thematically holistic and 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.
CITATION STYLE
Medeiros, E. (2023). Data and Modelling for the Territorial Impact Assessment (TIA) of Policies. In Handbook of Computational Social Science for Policy (pp. 177–194). Springer International Publishing. https://doi.org/10.1007/978-3-031-16624-2_9
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