The regeneration of the urban peripheral areas is undoubtedly among the most complex issues with which the Public Administrations are currently facing. Different interests, often conflicting, coming from citizens, entrepreneurs and stakeholders, focus on these areas. In the present research a fuzzy multi-criteria decision model is proposed, as support of the Public Administration in the analysis of different scenarios, referred to different temporal moments. The application to four different urban peripheries located in the metropolitan area of Rome (Italy) highlights the potentialities of this model. The representation of the results through a radar diagram and a histogram makes them easily intelligible also by non-expert subjects.
A fuzzy multi-criteria decision model for the regeneration of the urban peripheries / Locurcio, M.; Tajani, F.; Morano, P.; Torre, C. M.. - STAMPA. - 100:(2019), pp. 681-690. (Intervento presentato al convegno Third International Symposium New Metropolitan Perspectives. The integrated approach of Urban Sustainable Development Through the Implementation of Horizon/Europe 2020 (ISTH 2020) tenutosi a Reggio Calabria nel 22-25 maggio 2018) [10.1007/978-3-319-92099-3_76].
A fuzzy multi-criteria decision model for the regeneration of the urban peripheries
Locurcio, M.;Tajani, F.
;Morano, P.;Torre, C. M.
2019-01-01
Abstract
The regeneration of the urban peripheral areas is undoubtedly among the most complex issues with which the Public Administrations are currently facing. Different interests, often conflicting, coming from citizens, entrepreneurs and stakeholders, focus on these areas. In the present research a fuzzy multi-criteria decision model is proposed, as support of the Public Administration in the analysis of different scenarios, referred to different temporal moments. The application to four different urban peripheries located in the metropolitan area of Rome (Italy) highlights the potentialities of this model. The representation of the results through a radar diagram and a histogram makes them easily intelligible also by non-expert subjects.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
