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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References
Meerow, S., Newell, J.P., Stults, M.: Defining urban resilience: A review. Landsc. Urban Plan. 147, 38–49 (2016)
Desouza, K.C., Flanery, T.H.: Designing, planning, and managing resilient cities: A conceptual framework. Cities 25, 89–99 (2013)
Olazabal, M., Pascual, U.: Use of fuzzy cognitive maps to study urban resilience and transformation. Environ. Innov. Societal Transitions 18, 18–40 (2015)
Roberts, P., Hugh, S.: Urban Regeneration: A Handbook. Sage Publication, London (2000)
Bottero, M.: A multi-methodological approach for assessing sustainability of urban projects. Manage. Environ. Qual. Int. J. 26(1), 138–154 (2015)
Colucci, A.: Le città resilienti: approcci e strategie. Università degli studi di Pavia, Pavia (2012)
Holling, C.S.: Resilience and stability of ecological systems. Annu. Rev. Ecol. Syst. 4, 1–23 (1973)
Holling, C.S.: Engineering resilience versus ecological resilience. In: Schulze, P. (ed.) Engineering within Ecological Constraints. The National Academies Press, Washington, DC (1996)
Folke, C., Carpenter, S. R., Walker, B., Scheffer, M., Chapin, T., Rockström J.: Resilience thinking: integrating resilience, adaptability and transformability. Ecol. Soc. 15(4) (2010). http://www.ecologyandsociety.org/vol15/iss4/art20/
Holling, C.S., Gunderson, L.H.: Panarchy: Understanding Transformations in Human and Natural Systems. Island Press, Washington DC (2002)
Kosko, B.: Fuzzy cognitive maps. Int. J. Man Mach. Stud. 24, 65–75 (1986)
Axelrod, R.: Structure of Decision: The Cognitive Maps of Political Elites. Princeton University Press, Princeton (1976)
Papageorgiou, E.I., Salmeron, J.L.: A review of fuzzy cognitive maps research during the last decade. IEEE Trans. Fuzzy Syst. 21(1), 69–79 (2013)
Özesmi, U., Özesmi, S.: A participatory approach to ecosystem conservation: fuzzy cognitive maps and stakeholder group analysis in Uluabat Lake, Turkey. Environ. Manage. 31(4), 518–531 (2003)
Ozemi, U., Ozemi, S.L.: Ecological models based on people knowledge: A multy – step fuzzy cognitive mapping approach. Ecol. Model. 176, 43–64 (2004)
Misthos, L.S., Messaris, G., Damigos, D., Menegaki, M.: Exploring the perceived intrusion of mining into the landscape using the fuzzy cognitive mapping approach. Ecol. Eng. 101, 60–74 (2017)
Jetter, A.: Fuzzy cognitive maps for engineering and technology management: what works in practice? In: PICMET Proceedings (2006)
Jetter, A., Schweinfort, W.: Building scenarios with fuzzy cognitive maps: an exploratory study of solar energy. Futures 43, 52–66 (2010)
Jetter, A.J., Kok, K.: Fuzzy cognitive maps for futures studies – a methodological assessment of concepts and methods. Futures 61, 45–57 (2014)
Kok, K.: The potential of fuzzy cognitive maps for semi-quantitative scenario development, with an example from Brazil. Glob. Environ. Change 19, 122–133 (2008)
Tsadiras, A.K.: Comparing the inference capabilities of binary, trivalent and sigmoid fuzzy cognitive maps. Inf. Sci. 178, 3880–3894 (2008)
Storti, D.: L’analisi SWOT. In: Working paper. Istituto Nazionale di Economia Agraria, Roma (2009)
Bottero, M., Lami, I., Lombardi, P.: Analytic network process: la valutazione di scenari di trasformazione urbana e territoriale. Alinea, Firenze (2008)
Jones, P.S.: Urban regeneration’s poisoned chalice: is there an impasse in (community) participation-based policy? Urban Stud. 40(3), 581–601 (2003)
Dente, B.: Understanding Policy Decisions. Springer, Heidelberg (2014)
Yang, J.R.: An investigation of stakeholder analysis in urban development projects: Empirical or rationalistic perspectives. Int. J. Project Manage. 32, 838–849 (2014)
Salmeron, J.L., Vidal, R., Mena, A.: Ranking fuzzy cognitive map based scenarios with TOPSIS. Expert Syst. Appl. 39, 2443–2450 (2012)
Blečić, I., Cecchini, A.: Verso una pianificazione antifragile: Come pensare al futuro senza prevederlo. FrancoAngeli editore, Milano (2016)
Gerogiannis, C.V., Maftei, A. V., Papageorgiou, I. E.: Critical success factors on online music streaming services, a case study of applying the fuzzy cognitive maps method. In: Conference paper, pp. 1077–1084 (2016)
Davoudi, S., Shaw, K., Haider, L.J., Quinlan, A.E., Peterson, G.D., Wilkinson, C., et al.: Resilience: A bridging concept or a dead end? “Reframing” resilience: Challenges for planning theory and practice interacting traps: Resilience assessment of a pasture management system in Northern Afghanistan Urban resilience: What does it mean in planning practice? Resilience as a useful concept for climate change adaptation? The politics of resilience for planning: A cautionary note. Plann. Theory Pract. 13(2), 299–333 (2012)
Jones, P.S.: Urban regeneration’s poisoned chalice: is there an impasse in (community) participation-based policy? Urban Stud. 40(3), 581–601 (2003)
Ahern, J.: From fail-safe to safe-to-fail: Sustainability and resilience in the new urban world. Landscape Urban Plann. 100, 341–343 (2011)
Sharif, A.M., Irani, Z.: Exploring fuzzy cognitive mapping for IS evaluation. Eur. J. Oper. Res. 173, 1175–1187 (2006)
Bottero, M., Mondini, G., Oppio, A.: Decision Support Systems for evaluating urban regeneration. Procedia Soc. Behav. Sci. 223, 923–928 (2016)
Monaco, R., Servente, G.: Introduzione ai modelli matematici nelle scienze territoriali. Celid, Torino (2012)
Monaco, R.: A mathematical model for territorial integrated evaluation. In: Brunetta, Smart Evaluation and Integrated Design in Regional Development, Ashgate, Farnham, Surrey (2015)
Murgante, B., Borruso, G.: Smart cities in a smart world. In: Rassia, S.T., Pardalos, P.M. (eds.) Future City Architecture for Optimal Living. Springer Optimization and its Applications, vol. 102, pp. 13–35. Springer, Heidelberg (2015)
Axelrod, R.: Structure of Decision: The Cognitive Maps of Political Elites. Princeton University Press, Princeton (1976)
Acknowledgements
The alternative projects used for the FCMs application are based on the work performed by the students of the multidisciplinary design studio “Architecture and Urban Economics” (professors Mauro Berta, Marta Bottero, Edoardo Piccoli and Francesca Bagliani) in the Master Program in Architecture Construction City at Politecnico di Torino (Italy).
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Bottero, M., Datola, G., Monaco, R. (2017). Exploring the Resilience of Urban Systems Using Fuzzy Cognitive Maps. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science(), vol 10406. Springer, Cham. https://doi.org/10.1007/978-3-319-62398-6_24
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DOI: https://doi.org/10.1007/978-3-319-62398-6_24
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