DECIDE: An outcome-driven decision support system for urban-regional planning

Altafini, Diego ORCID: https://orcid.org/0000-0002-6559-2372, Pezzica, Camilla ORCID: https://orcid.org/0000-0002-0512-7591, Bleil De Souza, Clarice ORCID: https://orcid.org/0000-0001-7823-1202, Gagarin, Andrei ORCID: https://orcid.org/0000-0001-9749-9706, Rosenberg, Ges, Gunner, Sam and Tryfonas, Theo 2024. DECIDE: An outcome-driven decision support system for urban-regional planning. Presented at: Networks, Markets & People (NMP) International Symposium: Communities, Institutions and Enterprises towards post-humanism epistemologies and AI challenges, Reggio Calabria, Italy, 22-24 May 2024. Published in: Calabrò, Francesco, Madureira, Livia, Carlo Morabito, Francesco and José Piñeira Mantiñán, María eds. Networks, Markets & People: Communities, Institutions and Enterprises Towards Post-humanism Epistemologies and AI Challenges. Lecture Notes in Networks and Systems , vol.4 (1186) Springer, Cham, pp. 91-100. 10.1007/978-3-031-74679-6_9 Item availability restricted.

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Abstract

This position paper argues that outcome-driven Decision Support Systems (DSS) are more appropriate than current data-driven approaches to integrate Multi-Domain Models (MDMs) in the context of sustainable urban-regional planning. This is because, for urban planning, DSS needs to provide fit-for-purpose answers to problems faced by practitioners when managing and designing city features. In fact, planners must cater for imagined scenarios, assessing viable solutions with regards to how they change in accordance with ever-changing constrains, to be able to improve cities towards becoming sustainable and resilient. The authors frame urban-regional planning as a design activity in which complex and interwoven requirements from multiple stakeholders need to be addressed by decisions involving multidomain knowledge. To this end, the paper highlights main characteristics of design activities, and then compares and contrasts data-driven strategies with outcome-driven strategies. This promotes the development of an outcome-driven DSS that better aligns with the needs of planners working with urban-regional development towards enhancing urban livability and addressing territorial inequalities. It then frames the role of data-driven strategies within outcome-driven DSS, showing how the DECIDE project embraces the creation of an outcome-driven DSS with punctual data-driven strategies.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Architecture
Publisher:	Springer, Cham
ISBN:	9783031746789
Funders:	EU HE-MSCA-PF-2022 fellowship, EPSRC
Date of First Compliant Deposit:	19 April 2024
Date of Acceptance:	19 March 2024
Last Modified:	02 Dec 2024 12:10
URI:	https://orca.cardiff.ac.uk/id/eprint/168179

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