Abstract
In recent years, the applicative approach to smart governance in urban planning field has increasingly involved the decision-making processes of public administrations and has helped to solve economic, social and environmental challenges of cities. This approach has in fact allowed administrations to understand how changes are taking place in the territory and in real time, through big data, e-governance and city dashboards. However, the literature underlines the lack of decision-making models on which an agreement had been recognized for the organization and management of new projects on an urban scale. This need involves (1) understanding clearly the needs of all actors involved in a project (public or private financiers, public administration, control offices and stakeholders), (2) making optimal decisions w.r.t. the selected criteria, (3) providing a hedge against unexpected data changes. The main applicative goal is to have a full awareness of how much every single change means in economic, logistical and time lag terms. To this end, the authors investigate the viability of Decision Trees to support decision-making processes for urban planning.
This paper is the result of the joint work of the authors. ‘Abstract’, ‘A decision tree for the case of “via Roma”’ and ‘Discussion and Conclusion’ were written jointly by all authors. Giulia Desogus wrote ‘Introduction’. Alfonso Annunziata wrote ‘Decision Tree Models applied to Urban Governance: Problem Identification and Construction’. Claudio Crobu wrote ‘Guidelines on the construction of decision trees’. Chiara Garau, Mauro Coni, and Massimo Di Francesco coordinated and supervised the paper.
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Acknowledgments
This study was supported by the agreement with the Municipality of Cagliari – Strategic and Territorial Planning Service (CUP code: G22C20000080006 - CIG ZEA2E99622) entitled “Innovative methods for participatory urban planning in the drafting of the MUP in adaptation to the RLP and the HSP. Preparation of the preliminary environmental report in the SEA process. Study of the infrastructural structure in the light of the new forms of mobility in line with the drafting SUMPS”. This study was developed within the Interdepartmental Center of the University of Cagliari “Cagliari Accessibility Lab”.
This study was also supported by the MIUR through the project “WEAKI TRANSIT”: WEAK-demand areas Innovative TRANsport Shared services for Italian Towns (Project protocol: 20174ARRHT_004; CUP Code: F74I19001290001), financed with the PRIN 2017 (Research Projects of National Relevance) programme. We authorize the MIUR to reproduce and distribute reprints for Governmental purposes, notwithstanding any copyright notations thereon. Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors, and do not necessarily reflect the views of the MIUR.
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Garau, C., Desogus, G., Annunziata, A., Coni, M., Crobu, C., Di Francesco, M. (2021). Smart Governance Models to Optimise Urban Planning Under Uncertainty by Decision Trees. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science(), vol 12956. Springer, Cham. https://doi.org/10.1007/978-3-030-87010-2_41
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