In the context of cites, a very innovative approach refers to the theory of urban resilience, which is represented by the ability of an urban system to absorb, adapt and respond to stresses and strains, including issues related to sustainability, governance and economic development. The paper aims at exploring the problems related to urban resilience, with specific attention to the use of Fuzzy Cognitive Maps (FCMs) which constitute a recent approach for representing complex systems and for supporting scenario planning and strategic decision making. Starting from a real case related to the regeneration program of the city of Collegno (Italy), the paper illustrates the application of the FCM method for modeling urban resilience dynamics and for exploring future scenarios of transformation

Exploring the resilience of urban systems using fuzzy cognitive maps / Bottero, MARTA CARLA; Datola, Giulia; Monaco, Roberto. - STAMPA. - 10406:(2017), pp. 338-353. ((Intervento presentato al convegno 17th International Conference on Computational Science and Its Applications, ICCSA 2017 tenutosi a ita nel 2017 [10.1007/978-3-319-62398-6_24].

Exploring the resilience of urban systems using fuzzy cognitive maps

BOTTERO, MARTA CARLA;Datola, Giulia;MONACO, Roberto
2017

Abstract

In the context of cites, a very innovative approach refers to the theory of urban resilience, which is represented by the ability of an urban system to absorb, adapt and respond to stresses and strains, including issues related to sustainability, governance and economic development. The paper aims at exploring the problems related to urban resilience, with specific attention to the use of Fuzzy Cognitive Maps (FCMs) which constitute a recent approach for representing complex systems and for supporting scenario planning and strategic decision making. Starting from a real case related to the regeneration program of the city of Collegno (Italy), the paper illustrates the application of the FCM method for modeling urban resilience dynamics and for exploring future scenarios of transformation
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11583/2678450
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