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Geodesign in Salvador Metropolitan Region: Regional Planning Based on Reproducible and Defensible Criteria

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Computational Science and Its Applications – ICCSA 2022 Workshops (ICCSA 2022)

Abstract

As a contribution to the meeting IGC – International Geodesign Collaboration, a group of 14 Brazilian universities developed a case study about Trees for Metropolitan Regions. One of them, and the last one developed, was about the Salvador Metropolitan Region. Being the last one, it was an opportunity to apply the observations collected during the previous experiments, in order to arrive to a framework based on reproducible and defensible criteria. The main improvements were new scripts to support decision making about the fulfillment of SDGs (Sustainable Development Goals) developed as WPS (Web Processing Service), and the composition of the groups (people from the area and not from the area). The results were analyzed according to the thematic, priority and locational assertiveness. From the collection of ideas, 67.9% were considered quite good and 23.2% were considered good. The indexes of the thematic and priority assertiveness were very high (96.4% and 89.2%), while the locational assertiveness was 73.2%. In face to these numbers, it was possible to affirm that the results were very good. It was an academic experiment, but the process of geodesign can be considered by the public administration in the regional plan that is under development.

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Acknowledgements

The authors thank CNPq support through the project 401066/2016-9 and FAPEMIG PPM-00368-18.

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Correspondence to Ana Clara Mourão Moura .

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Moura, A.C.M., Freitas, C.R., Cavalcanti, S.S. (2022). Geodesign in Salvador Metropolitan Region: Regional Planning Based on Reproducible and Defensible Criteria. In: Gervasi, O., Murgante, B., Misra, S., Rocha, A.M.A.C., Garau, C. (eds) Computational Science and Its Applications – ICCSA 2022 Workshops. ICCSA 2022. Lecture Notes in Computer Science, vol 13379. Springer, Cham. https://doi.org/10.1007/978-3-031-10545-6_10

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  • DOI: https://doi.org/10.1007/978-3-031-10545-6_10

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