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Bottom-Up Processes for Culture-Led Urban Regeneration Scenarios

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Computational Science and Its Applications – ICCSA 2019 (ICCSA 2019)

Abstract

The research explored the potentialities of an integrated approach to identify the preferable culture-led urban regeneration scenarios for Catanzaro (Italy). Through a process of knowledge of the urban contest it was possible to identify and analyse transformation also through shared values, as constitutive elements of the vision of the place; through these, it was possible to interact and understand the transformations in progress by developing an intervention strategy that can guide and support a process of culture-led regeneration. The Multi-Criteria and multi-group assessment was carried out through the Analytic Network Process (ANP) method, which allow to support the design of shared and transparent planning and design choices, according to a bottom-up approach. The decision-making process, in its different phases and results, allows making explicit the components that significantly influence the local transformations and that could guide the interaction between the different involved stakeholders towards a shared common vision.

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Acknowledgements

The authors are gratefully to all stakeholder who kindly participated at network.

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Conceptualization, methodological approach and software: Lucia Della Spina; collection, elaboration of the data, cognitive framework: Claudia Giorno, Ruggiero Galati Casmiro; writing-review, editing and supervision: Lucia Della Spina.

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Correspondence to Lucia Della Spina .

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Della Spina, L., Giorno, C., Galati Casmiro, R. (2019). Bottom-Up Processes for Culture-Led Urban Regeneration Scenarios. In: Misra, S., et al. Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science(), vol 11622. Springer, Cham. https://doi.org/10.1007/978-3-030-24305-0_8

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  • DOI: https://doi.org/10.1007/978-3-030-24305-0_8

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