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Community Branding (Co-Bra): A Collaborative Decision Making Process for Urban Regeneration

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Computational Science and Its Applications – ICCSA 2017 (ICCSA 2017)

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Abstract

The paper introduces a methodology for a learning and negotiation process that supports urban regeneration, combining management models and multi-criteria/multi-group evaluation methods. The purpose concerns the urban regeneration issue in an interdisciplinary complex decisional context where Place Branding, Community Planning, Community Impact Evaluation, and Place Marketing interplay in a decision-making process named “Community Branding (Co-Bra)”. The processing of data and information elaborated by PROMETHEE (Preference Ranking Organisation METHod for Enrichment Evaluations) is crucial for providing the decision-maker with a ranking of alternatives based on preference degrees. Starting from the analysis carried out for Matera ECoC 2019, the case study of Pisticci (MT), the third-largest town in Basilicata (Italy), tested the methodological approach. The choice of a multidimensional approach, focused on the recognition of social, economic and cultural resources, provides strategies of enhancement of cultural heritage and community network by a “community hub”, called “PLUS – Pisticci Laboratorio Urbano Sostenibile” (Pisticci Sustainable Urban Lab).

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Acknowledgements

This study has been supported by CNR IRISS of Naples, Department of Architecture (DiARC) of Federico II University of Naples, but also by local organisations and administrations in Basilicata region. In particular, authors are very grateful to “Imbianchini di bellezza”, PLUS association, P-stories, Open story lab, “Legambiente circolo Pisticci”, Lucania Film Festival, Allelammie, Teatro Lab, AVIS, University of Basilicata, Pisticci Municipality and Basilicata region.

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Cerreta, M., Daldanise, G. (2017). Community Branding (Co-Bra): A Collaborative Decision Making Process for Urban Regeneration. 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_52

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