Pluchinotta, I;
Esposito, D;
Camarda, D;
(2019)
Fuzzy cognitive mapping to support multi-agent decisions in development of urban policymaking.
Sustainable Cities and Society
, 46
, Article 101402. 10.1016/j.scs.2018.12.030.
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Abstract
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.
| Type: | Article |
|---|---|
| Title: | Fuzzy cognitive mapping to support multi-agent decisions in development of urban policymaking |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.scs.2018.12.030 |
| Publisher version: | https://doi.org/10.1016/j.scs.2018.12.030 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Fuzzy Cognitive Maps, Decision support systems, Urban policy, Environmental complex systems, Participatory approach, Policy Making |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10103831 |
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