Abstract
The term peripheralization indicates a process that can generate social, physical, and environmental degradation in urban areas. In the light of the new urban geography and the socio-economic trends taking place globally, there is a risk that the typical decay of a peripheral condition may affect city in their entirety, regardless of spatial proximity to its centre. Then, regeneration interventions should be targeted primarily at areas with a significant peripheralization risk, understood as a combination of potential degradation factors. Consequently, the decision-makers’ choice of the best design alternative should be informed by the knowledge of pre-existing vulnerability levels, and oriented towards the solution that maximizes their reduction. This is possible when the planning of interventions in the most vulnerable areas, through Urban Regeneration Programs, is able to take into account the results of the project alternatives economic evaluation. Such an approach constitutes the main novelty of the study. So, the aim of the work is to provide a decision support model for the evaluation of urban regeneration interventions effectiveness in areas of high peripheralization risk. To this end, the contribution defines a set of mitigation indicators and the assessment of the most effective design alternative through analytic hierarchy process (AHP). The proposed model was applied to an area of Marcianise Municipality, in Campania Region (Italy).
Highlights
Since the 1990s, in developed countries, including Italy, there has been a phase of experimentation with tools to combat the degradation of urban areas supported by public funding, known as the season of ‘complex programmes’
The objective of this paper is to provide a decision support model for evaluating the effectiveness of urban regeneration programs in areas with a high peripheralization risk
The research proposes a decision support tool based on the analytic hierarchy process (AHP) method to evaluate the effectiveness of urban regeneration interventions envisaged in areas where the levels of peripheralization risk are significant
Summary
Since the 1990s, in developed countries, including Italy, there has been a phase of experimentation with tools to combat the degradation of urban areas supported by public funding, known as the season of ‘complex programmes’. The objective of this paper is to provide a decision support model for evaluating the effectiveness of urban regeneration programs in areas with a high peripheralization risk This work proposes a set of mitigation indicators as a useful tool to assess the ability of project actions to reduce vulnerability in social, building, and urban domains and, to mitigate peripheralization risk. Those mitigation indicators are selected by reference to vulnerability indicators already established for the location of priority urban areas, for which regeneration programs are targeted.
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