Abstract
The Community impact evaluation (CIE) is a multi-actor methodology of evaluation: its goal is to identify the convenience of actions/projects, as part of urban policies, according to the Social preferable expressed by different members of the community affected by the policy itself. It traces a methodological approach for the preparation of a social report distributed in the plan’s policies. His first methodological application was developed as Planning Balance Sheet in the early sixties, in order to give an answer to the need to overcome the Cost-benefit analysis limit constituted by the failure to evaluate the distributive effects of interventions. Lichfield [1] distinguishes between different social categories those involved in an active way (promoters) or passive (users) in the implementation of an intervention, in different ways. These different modes of involvement are defined by the nature of the different advantages of which each group can enjoy and disadvantages that each group can undergo. They play an active role of the producers, who participate in the implementation of the intervention. instead play a “passive” users, who do not participate in the production process. A first way to determine the distribution effects is therefore to build many budgets disaggregated as there are groups affected by the policy of recovery. If the benefits and costs identified for each social group were all liquidated the procedure would be to build a series of indicators of economic convenience. (Net Present Value and Internal Return Rate) estimated budget for the costs benefits of all the groups involved [2].
To widen the scope you can start by analyzing the advantages and disadvantages not monetizable affecting every social group. The paper illustrates the result of a social supported simulation of future hypothesis of reuse of a monumental site, by the application of a matrix modelled CIE approach.
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Acknowledgements
Authors wish to acknowledge the support provided by colleagues of the MITO Lab of the Polytechnic of Bari. Furthermore, even if the paper is the result of a common reasoning, the various parts have been written with this sequence: the introduction (and conclusions) have been written by Pierluigi Morano. The second and the Third Paragraph is due to the effort of Francesco Tajani and the fourth paragraph is due to the effert of Carmelo M. Torre.
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Torre, C.M., Morano, P., Tajani, F. (2017). Experimenting CIE and CBA in Urban Restoration. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science(), vol 10406. Springer, Cham. https://doi.org/10.1007/978-3-319-62398-6_45
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