TY  - JOUR
N1  - This version is the author accepted manuscript. For information on re-use, please refer to the publisher?s terms and conditions.
ID  - discovery10103831
AV  - public
EP  - 12
JF  - Sustainable Cities and Society
N2  - The awareness about environmental complexity involves real-time knowledge and demands urban planning initiatives. Knowledge is multiform, multi-agent and mirrors environmental complexity. Problems characterizing urban sustainability particularly claim non-expert knowledge, being informal, puzzling, uncertain, incomplete, hard to be handled, formalized, modelled. This study utilizes Fuzzy cognitive maps to explore such complexity and support multiagent decisions. It concerns the scenario-building process of the new plan of Taranto (Italy), a paradigmatic example of decaying industrial area, heavily characterized by social fragmentation and environment degradation. This approach aims at structuring environmental problems, modelling future strategies and contributing to build a multi-agent decision support system for complex urban planning contexts.
VL  - 46
PB  - ELSEVIER SCIENCE BV
Y1  - 2019/04//
A1  - Pluchinotta, I
A1  - Esposito, D
A1  - Camarda, D
UR  - https://doi.org/10.1016/j.scs.2018.12.030
TI  - Fuzzy cognitive mapping to support multi-agent decisions in development of urban policymaking
KW  - Fuzzy Cognitive Maps
KW  -  Decision support systems
KW  -  Urban policy
KW  -  Environmental complex systems
KW  -  Participatory approach
KW  -  Policy Making
ER  -