Machine learning methods for quantitative structure-property relationship modeling

Tese de doutoramento, Informática (Bioinformática), Universidade de Lisboa, Faculdade de Ciências, 2014

Fear and Urban Planning in Ordinary Cities: From Theory to Practice

The paper complements Abu-Orf's theory about violent settings by setting out a theory of fear in urban planning in ordinary urban contexts around three arguments: spatialization of fear; (modernist) spatialities and the encounter and political economies of urban fear. The three theoretical arguments are used to re-frame the planning history of Chelas, an affordable housing district in Lisbon, Portugal, and debate the way fear shapes, and is shaped in turn by, planning practice. Confirming that (growing) fear in ordinary urban contexts is not just an effect of the contemporary organization of cities, the paper argues for a theorization of fear that combines global (hegemonic) and a local (discursive/contingent) perspectives in the theorization of urban fear, and advocates for the need to put fear, and its capacity to create a crisis in urban policy, at the heart of planners' agendas.