Risk as a wicked problem in planning: the role of future non-knowledge
DOI:
https://doi.org/10.6093/1970-9870/11883Keywords:
Planning, Future, Non-Knowledge, Uncertainty, Risk, FatalismAbstract
Dealing with spatial organization, planning and design has to cope with something that is not (not yet or never will be) there. This is a matter of knowledge and of knowledge management, a matter for times to come: so in knowledge management the facet of non-knowledge appears. The research reflections proposed here are connected with activities carried out in the case study of Biccari, a small village in the north of Puglia (Italy), located on the slopes of the Dauni Mountains, between the Apulian plateau and fragile mountain terrains. It involved the University of Sannio and the Polytechnic University of Bari, to provide scientific support aimed at drawing up the town’s master plan (PUG). The territory is affected by an extensive paleolandslide, creating significant hydrogeological risk conditions. Despite this, the local community tends to remove such risk from their perception, showing fatalistic attitudes toward phenomena considered inevitable. The paper explores how to deal with “non-knowledge” in spatial planning, particularly by integrating local risk perceptions and decision-making dynamics into agent-based simulation models developed using NetLogo software. As an exploratory study, it proposes a prototype framework to simulate interactions between institutional decisions, environmental dynamics and community behaviors, with the goal of supporting more adaptive, informed and resilient planning strategies – managing uncertainty as a constitutive element of planning in fragile territories, rather than as a problem to be eliminated.
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References
Aven, T., & Renn, O. (2010). Risk management and governance: Concepts, guidelines and applications, (Vol. 16). Berlin: Springer
Bencardino, M., & Greco, I. (2014). Smart communities. Social innovation at the service of the smart cities. Tema. Journal of Land Use, Mobility and Environment, 39-51. https://doi.org/10.6092/1970-9870/2533
Borgo, S., Borri, D., Camarda, D., & Stufano Melone, M.R. (2021). An ontological analysis of cities, smart cities and their components. In M. Nagenborg, T. Stone, M. González Woge & P. E. Vermaas (Eds.), Technology and the City: Towards a Philosophy of Urban Technologies, 365-387. Cham: Springer. https://doi.org/10.1007/978-3-030-52313-8_18
Borri, D., Camarda, D., & Pluchinotta, I. (2014). Planning for the microclimate of urban spaces: Notes from a multi-agent approach. In Y. Luo (Ed.), Cooperative Design, Visualization, and Engineering (CDVE 2014), Vol. 8683, 179-182. Berlin: Springer. https://doi.org/10.1007/978-3-319-10831-5_27
Borri, D., Camarda, D., Schingaro, N., & Stufano Melone, M.R. (2018). Percorsi cognitivi dello spazio per il supporto decisionale: Alcune note a partire da casi di studio. Archivio di Studi Urbani e Regionali, 123, 117-139. https://doi.org/10.3280/asur2018-123006
Bousquet, F., & Le Page, C. (2004). Multi-agent simulations and ecosystem management: A review. Ecological Modelling, 176(3-4), 313-332. https://doi.org/10.1016/j.ecolmodel.2004.01.011
Brandimonte, M.A. (2004). Psicologia della Memoria. Roma: Carocci
Burton, I., Kates, R.W., & White, G.F. (1993). The Environment as Hazard. New York: Guildford Press
Buurman, J., & Babovic, V. (2016). Adaptation pathways and real options analysis: An approach to deep uncertainty in climate change adaptation policies. Policy and Society, 35 (2), 137-150. https://doi.org/10.1016/j.polsoc.2016.05.002
Camarda, D., Fistola, R., Stufano Melone, M.R., & Zingarelli, E. (2020). Report per il PUG del Comune di Biccari (FG). Bari: Politecnico di Bari.
Casagli, N., Intrieri, E., Tofani, V., Gigli, G., & Raspini, F. (2023). Landslide detection, monitoring and prediction with remote-sensing techniques. Nature Reviews Earth & Environment, 4 (1), 51-64. https://doi.org/10.1038/s43017-022-00373-x
Chatterjee, S., Wiseman, R.M., Fiegenbaum, A., & Devers, C.E. (2003). Integrating behavioural and economic concepts of risk into strategic management: The twain shall meet. Long Range Planning, 36 (1), 61-79. https://doi.org/10.1016/S0024-6301(02)00201-7
Cruden, D.M., & Varnes, D.J. (1996). Landslide types and processes. Transportation Research Board, 247, 36-57
Ferber, J. (1999). Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence. London: Addison-Wesley
Fistola, R., Gaglione, F., & Zingariello, I. (2023). The small smart city: Renewable energy sources in little town of Italy. TeMA - Journal of Land Use, Mobility and Environment, 16 (1), 183-199. https://doi.org/10.6093/1970-9870/9850
Voiron-Canicio C., Garbolino E., Fusco G., Loubier J-C., 2020, Methods and tools in geoprospective, in E. Garbolino and C. Voiron-Canicio (Eds), Ecosystem and Territorial Resilience. A geoprospective approach, Amsterdam : Elsevier, pp. 85-122. doi :10.1016/B978-0-12-818215-4.00009-2.Fusco, G., Garbolino, E., Loubier, J.-C., & Voiron-Canicio, C. (2021). Methods and tools in geoprospective. In E. Garbolino & C. Voiron-Canicio (Eds.), Ecosystem and Territorial Resilience, 85-122. Amsterdam: Elsevier
Gumbrecht, H.U. (2014). Our Broad Present: Time and Contemporary Culture. New York: Columbia University Press
Guzzetti, F., Gariano, S.L., Peruccacci, S., Brunetti, M.T., Marchesini, I., Rossi, M., & Melillo, M. (2020). Geographical landslide early warning systems. Earth-Science Reviews, 200, 102973. https://doi.org/10.1016/j.earscirev.2019.102973
Jungk, R., & Mullert, N. (1996). Future Workshop: How to Create Desirable Futures. London: Institute for Social Inventions
Koutalakis, C. (2004). Environmental compliance in Italy and Greece: The role of non-state actors. Environmental Politics, 13 (4), 754-774. https://doi.org/10.1080/0964401042000274359
Marchau, V.A.W.J., Walker, W.E., Bloemen, P.J.T.M., & Popper, S.W. (Eds.). (2019). Decision Making under Deep Uncertainty: From Theory to Practice. Cham: Springer. https://doi.org/10.1007/978-3-030-05252-2
Murphy, K.J. (2025). Agent‐based models in applied ecology: Designing data‐informed simulations for wildlife conservation and management. Ecosphere, 16 (9), e70342. https://doi.org/10.1002/ecs2.70342
Monnin, A. (2018). Digitality, (un)knowledge, and the ontological character of non-knowledge. In A. Bernard, M. Koch & M. Leeker (Eds.), Non-Knowledge and Digital Cultures, 105-121. Lüneburg: Meson Press. https://doi.org/10.25969/MEDIAREP/1607
Occelli, S., & Rabino, G. (2006). Cognitive modeling of urban complexity. In J. Portugali (Ed.), Complex Artificial Environments, 219-233. Berlin Heidelberg: Springer. https://doi.org/10.1007/3-540-29710-3_14
Renn, O. (2017). Risk Governance: Coping with Uncertainty in a Complex World. London: Routledge
Rice, H. (2024). Fatalism. In E.N. Zalta & U. Nodelman (Eds.), The Stanford Encyclopedia of Philosophy (Summer 2024 Edition). https://plato.stanford.edu/archives/sum2024/entries/fatalism
Rittel, H.W.J., & Webber, M.M. (1973). Dilemmas in a general theory of planning. Policy Sciences, 4 (2), 155-169. https://doi.org/10.1007/bf01405730
Salvati L., Gargiulo Morelli V., Weijnen M., van Bueren E., Wenzler I., & De Reuver, M. (2013). Towards Intelligently - Sustainable Cities? TeMA - Journal of Land Use, Mobility and Environment, 6 (1), 73-86. https://doi.org/10.6092/1970-9870/1496
Santoro, S., Mastrodonato, G., & Camarda, D. (2024). Group Model Building to Assess Local Knowledge of Nature Based Solution Implementation. In A. Marucci, F. Zullo, L. Fiorini & L. Saganeiti (Eds.), Innovation in Urban and Regional Planning, 635-646. Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-54096-7_55
Schreinemachers, P., & Berger, T. (2011). An agent-based simulation model of human–environment interactions in agricultural systems. Environmental Modelling & Software, 26 (7), 845-859. http://dx.doi.org/10.1016/j.envsoft.2011.02.004
Schubert, D. (2019). Cities and plans: The past defines the future. Planning Perspectives, 34 (1), 3-23. https://doi.org/10.1080/02665433.2018.1541758
Scott, R. (2018). Group Model Building: Using Systems Dynamics to Achieve Enduring Agreement. Singapore: Springer Nature. https://doi.org/10.1007/978-981-10-8959-6
Stufano Melone, M.R., & Rabino, G. (2014). The creative side of the reflective planner. Updating the Schön’s findings. TeMA-Journal of Land Use, Mobility and Environment. https://doi.org/10.6092/1970-9870/2550
Stufano Melone, M.R., Borgo, S., Camarda, D., & Borri, D. (2019). Heterogeneous knowledge for sustainable planning: Notes from ontology-based experimentations. In X.S. Yang, N. Dey & A. Joshi (Eds.), Third IEEE Conference on Smart Trends in Systems Security and Sustainablity (WorldS4), 43-47. London: Research Publishing Services
Stufano Melone, M.R., & Camarda, D. (2022). About non-knowledge in knowledge management for planning: Towards an applied ontological approach. TeMA-Journal of Land Use, Mobility and Environment, 15 (1), 79-87. https://doi.org/10.6093/1970-9870/8297
Taleb, N.N. (2012). Antifragile: Things that Gain from Disorder. New York: Random House
Weyns, D., Omicini, A., & Odell, J. (2007). Environment as a first class abstraction in multiagent systems. Autonomous Agent and Multi-Agent Systems, 14, 5-30. https://doi.org/10.1007/s10458-006-0012-0
Wooldridge, M. (2002). An Introduction to Multi-Agent Systems. London: Wiley
Wooldridge, M. (2012). Bad equilibria (and what to do about them). Paper presented at the 20th European Conference on Artificial Intelligence (ECAI 2012), Montpellier, France
Wulf, C. (2018). Unknowing and silent knowledge as a challenge: Iconic, performative, and material perspectives. In A. Bernard, M. Koch & M. Leeker (Eds.), Non-Knowledge and Digital Cultures, 126-143. Lüneburg: Meson Press
Yaprak S., Yildirim Ömer, & Susam, T. (2017). UAV-based agricultural planning and landslide monitoring. TeMA - Journal of Land Use, Mobility and Environment, 10 (3), 325-338. https://doi.org/10.6092/1970-9870/5278
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