Abstract
In the field of spatial planning, the role of knowledge resulting from a cognitive bottom-up approach is increasing. In a “cognitive planning” approach the environment represents a biological and cultural expression of the relationship between population, activities and places. Yet defining an appropriate model to represent the different cognitive frames and interests arising from this complex relationship is difficult. In this context, investigating on knowledge representation is of great importance, today augmented using intelligent cognitive tools and models. This work shows a case-based approach based combining traditional participatory techniques with knowledge elicitation and exchange support for bottom-up spatial planning. Specifically, a scenario-building approach has been implemented in an ICT-based environment that has allowed a widespread data collection on an extended sample of citizens. Visions and strategic actions proposed by the citizens involved have been formalized through formal data analyses, so becoming useful material to test the effectiveness of strategies proposed in a decision-support system architecture. The methodology was applied on an experimental basis during the knowledge-building phase of public participation for the new Master plan of the city of Brindisi (Italy).
Authors’ attribution: The paper has been carried out by authors as a common research work. Nonetheless, the introduction was written by D. Borri; Sect. 2 was written by D. Camarda; Sects. 3 and 6 were written by S. Santoro; Sect. 4 has written by S. Santoro and D. Esposito; Sect. 5 was written by D. Esposito.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ackerman MS, Halverson CA (1998) Considering an organization’s memory. In: Proceedings of CSCW, pp 39–48
Batty M (2013) Big data, smart cities, and city planning. Dialogues Hum Geogr 3(3):274–279
Bloodgood JM, Chilton MA (2012) Performance implications of matching adaption and innovation cognitive style with explicit and tacit knowledge resources. Knowl Manag Res Prac 10(2):106–117
Camarda D (2010) Beyond citizen participation in planning: multi-agent systems for complex decision making. In Nunes Silva C (ed) Handbook of research on e-planning: ICTs for urban development and monitoring. IGI Global, Hershey PA, pp 195–217
Camarda D (2018) Building sustainable futures for post-industrial regeneration: the case of Taranto, Italy. Urban Res Prac 11(3):275–283
Concilio G, De Liddo A (2017) Making decision in open communities: collective actions in the public realm. Group Decis Negot 26(5):847–856
Forester J (1999) The deliberative practitioner. The MIT Press, Cambridge MA
Fox NJ (2011) Boundary objects, social meanings and the success of new technologies. Sociology 45(1):70–85
Friedmann J (1987) Planning in the public domain. Princeton University Press, Princeton
Healey P (1997) Collaborative planning: shaping places in fragmented societies. McMillan, London
Jungk R, Mullert N (1996) Future workshop: how to create desirable futures. Institute for Social Inventions, London
Khakee A, Barbanente A, Camarda D, Puglisi M (2002) With or without? Comparative study of preparing participatory scenarios using computer-aided and traditional brainstorming. J Future Res 6:45–64
Lichfield N, Barbanente A, Borri D, Khakee A, Prat A (eds) (1998) Evaluation in Spatial Planning: facing the challenge of complexity. Kluwer, Dordrecht
Pluchinotta I, Esposito D, Camarda D (2019) Fuzzy cognitive mapping to support multi-agent decisions in development of urban policymaking. Sustain Cities Soc 46
Rabino G, Caglioni M (eds) (2009) Planning, complexity, and new ICT. Firenze, Alinea
Riehmann P, Hanfler M, Froehlich B (2005) Interactive sankey diagrams. In: Proceedings—IEEE symposium on information visualization, Info Vis, pp 233–240. https://doi.org/10.1109/infvis.2005.1532152
Santoro S, Pluchinotta I, Pagano A, Pengal P, Cokan B, Giordano R (2019) Assessing stakeholders’ risk perception to promote nature based solutions as flood protection strategies: the case of the Glinščica river (Slovenia). Sci Tot Environ 655:188–201. ISSN 0048-9697
Schmidt K, Bannon L (1992) Taking CSCW seriously: supporting articulation work. CSCW 1(1):4–40
Simon H (1947) The administrative behavior. McMillan, New York
Soman KP, Diwakar S, Ajay V (2006) Insight into data mining: theory and practice. Prentice-Hall of India Pvt. Ltd, New Delhi
Star SL, Griesemer JR (1989) Institutional ecology, ‘translations’ and boundary objects: amateurs and professionals in Berkeley’s museum of vertebrate zoology, 1907-39. Soc Stud Sci 19(3):387–420
Zadeh L (2012) Computing with words: principal concepts and ideas. Springer, Berlin
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Santoro, S., Esposito, D., Camarda, D., Borri, D. (2021). A Hybrid Approach for the Acquisition and Analysis of Distributed Knowledge on Spatial Planning: The Case Study of the Master Plan for Brindisi (Italy). In: La Rosa, D., Privitera, R. (eds) Innovation in Urban and Regional Planning. INPUT 2021. Lecture Notes in Civil Engineering, vol 146. Springer, Cham. https://doi.org/10.1007/978-3-030-68824-0_21
Download citation
DOI: https://doi.org/10.1007/978-3-030-68824-0_21
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-68823-3
Online ISBN: 978-3-030-68824-0
eBook Packages: HistoryHistory (R0)