Cities are complex, dynamic and adaptive systems that are in continuous evolution. This trend is influenced by causal relationships that occur between the social, political, economic and environmental dimensions that are at the basis of the urban system. Starting from these circum- stances, investigating and evaluating the city as a complex and adaptive system has become a fundamental issue in the context of urban transformation and regeneration operations. These are complex and dynamic processes both in temporal and spatial scale that are characterised by a multiplicity of variables, objectives and interests. For these characteristics, they represent particular decision problems described by an high level of uncertainty espe- cially related to the appraisal of their possible future impacts on the social, economic and environmental dimensions. Currently, in the fields of urban studies a promising approach is represented by the Fuzzy Cognitive Maps (FCMs). The peculiarity of this technique is the ability both to describe and analyse the functioning of complex systems through a cognitive map and to simulate their possible evolution, starting from the current conditions. For this reason, the technique of FCMs has been applied to study and analyse complex systems, related to those domains characterised by a high level of uncertainty, such as cities and their transformation processes. This paper shows the application of an integrated evalu- ation approach based on the FCMs technique to two dif- ferent urban regeneration processes. The article aims to underline both the strenghts of this technique, focusing on its ability to represent and manage the complexity of urban regeneration processes, and the critical aspects to identify the elements that to be developed in the future researche

Fuzzy cognitive maps: A dynamic approach for urban regeneration processes evaluation / Bottero, M.; Datola, G.; Monaco, R.. - In: VALORI E VALUTAZIONI. - ISSN 2036-2404. - STAMPA. - 2019:23(2019), pp. 77-90.

Fuzzy cognitive maps: A dynamic approach for urban regeneration processes evaluation

Bottero M.;Datola G.;Monaco R.
2019

Abstract

Cities are complex, dynamic and adaptive systems that are in continuous evolution. This trend is influenced by causal relationships that occur between the social, political, economic and environmental dimensions that are at the basis of the urban system. Starting from these circum- stances, investigating and evaluating the city as a complex and adaptive system has become a fundamental issue in the context of urban transformation and regeneration operations. These are complex and dynamic processes both in temporal and spatial scale that are characterised by a multiplicity of variables, objectives and interests. For these characteristics, they represent particular decision problems described by an high level of uncertainty espe- cially related to the appraisal of their possible future impacts on the social, economic and environmental dimensions. Currently, in the fields of urban studies a promising approach is represented by the Fuzzy Cognitive Maps (FCMs). The peculiarity of this technique is the ability both to describe and analyse the functioning of complex systems through a cognitive map and to simulate their possible evolution, starting from the current conditions. For this reason, the technique of FCMs has been applied to study and analyse complex systems, related to those domains characterised by a high level of uncertainty, such as cities and their transformation processes. This paper shows the application of an integrated evalu- ation approach based on the FCMs technique to two dif- ferent urban regeneration processes. The article aims to underline both the strenghts of this technique, focusing on its ability to represent and manage the complexity of urban regeneration processes, and the critical aspects to identify the elements that to be developed in the future researche
2019
File in questo prodotto:
File Dimensione Formato  
11 _ BOTTERO et al..pdf

non disponibili

Descrizione: pdf articolo valori e valutazioni
Tipologia: 2a Post-print versione editoriale / Version of Record
Licenza: Non Pubblico - Accesso privato/ristretto
Dimensione 31.66 MB
Formato Adobe PDF
31.66 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2777946