Abstract
This chapter aims at providing concrete reflections about the use of the Multiple Criteria Decision Analysis (MCDAs) in urban and territorial decision processes. The reflections provided by this chapter come from a critical analysis of different case studies faced by the Turin research group (Politecnico di Torino, InterUniversity Department DIST) composed by the authors, in some case in collaboration with other academics. Over the last decade in fact, the authors applied a number of MCDA to case studies of different nature in order to provide answers to decision-making problems in urban and territorial planning realms, towards a sustainable development. Specifically, the case studies analysed in this chapter refer to seven contexts: (i) infrastructural transport planning strategies; (ii) location of undesirable facilities; (iii) strategic urban planning; (iv) urban energy retrofitting; (v) real estate investments; (vi) cultural adaptive reuse of abandoned buildings; and (vii) environmental systems. The aforementioned case studies cover different geographical scales of intervention (local, national and transnational) offering here the opportunity to reflect around the use of MCDA as Analytic Network Process (ANP), ANP and Spatial Decision Support Systems (SDSS), Dominance Based Rough-Sets Approach (DRSA), Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH), Preference Ranking Organization METHod for Enrichment of Evaluations (PROMETHEE), CATegorization by Similarity-Dissimilarity (CAT-SD) and Elimination Et Choix Traduisant La Realité (ELECTRE). The applications presented show that the MCDA can be a useful support to the decision-makers in order to structure the decision process in exam, characterized by a plurality of stakeholders with different interests, powers and goals. In particular, starting from the case studies, the authors highlight the applicability and the decision-making relevance of the different MCDA.
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
Similar content being viewed by others
References
Abastante, F., & Lami, I. M. (2013). An analytical model to evaluate a large scale urban design competition. Geoingegneria Ambientale Mineraria (GEAM), 139, 27–36.
Abastante, F., & Lami, I. M. (2018). An integrated assessment framework for the requalification of districts facing urban and social decline. Green Energy and Technology, 535–545. https://doi.org/10.1007/978-3-319-78271-3_42.
Abastante, F., Bottero, M., Greco, S., & Lami, I. M. (2012). A dominance-based rough set approach model for selecting the location for a municipal solid waste plant. Geoingegneria Ambientale Mineraria (GEAM), 137, 43–54.
Abastante, F., Gunther, F., Lami, I. M., Masala, E., Pensa, S., & Tosoni, I. (2014). Analytic network process, interactive maps and strategic assessment: The evaluation of Corridor24 alternative development strategies. In I. M. Lami (Ed.), Analytical decision-making methods for evaluating sustainable transport in European corridors (pp. 205–232). Cham: Springer International Publishing AG.
Angilella, S., Greco, S., & Matarazzo, B. (2010a). Non-additive robust ordinal regression: A multiple criteria decision model based on the Choquet integral. European Journal of Operational Research, 201(1), 277–288.
Angilella, S., Greco, S., & Matarazzo, B. (2010b). The most representative utility function for non-additive robust ordinal regression. In E. Hullermeier, R. Kruse, & F. Hoffmann (Eds.), Proceedings of IPMU 2010, IPMU 2010 (220–257), LNAI 6178. Heidelberg: Springer.
Angilella, S., Bottero, M., Corrente, S., Ferretti, V., Greco, S., & Lami, I. M. (2016). Non-additive robust ordinal regression for urban and territorial planning: An application for siting an urban waste landfill. Annals of Operations Research, 245(1–2), 427–456.
Bana e Costa, C. A., & Chargas, M. P. (2004). A career choice problem: An example of how to use MACBETH to build a quantitative value model based on qualitative value judgments. European Journal of Operational Research, 153, 323–333.
Bana e Costa, C. A., De Corte, J. M., & Vansnick, J. C. (2010). MACBETH: Measuring attractiveness by a categorical based evaluation technique. In J. J. Cochran (Ed.), Encyclopedia of operations research and management science. New York: Wiley.
Barbier, E. (1987). The concept of sustainable economic development. Environmental Conservation, 14(2), 101–110.
Becchio, C., Bottero, M., Corgnati, S., & Dell’Anna, F. (2017). A MCDA-based approach for evaluating alternative requalification strategies for a Net-Zero Energy District (NZED). In C. Zopounidis & M. Doumpos (Eds.), Multiple criteria decision making. Application in energy and management (pp. 189–211). Berlin: Springer.
Bottero, M., & Lami, I. M. (2010). Analytic network process and sustainable mobility: An application for the assessment of different scenarios. Journal of Urbanism, 3, 275–293.
Bottero, M., Ferretti, V., Figueira, J. R., Greco, S., & Roy, B. (2015). Dealing with a multiple criteria environmental problem with interaction effects between criteria through an extension of the Electre III method. European Journal of Operational Research, 245(3), 837–850.
Bottero, M., Angilella, S., Corrente, S., Ferretti, V., Greco, S., & Lami, I. M. (2016). An application of the NAROR for the management of a real estate portfolio. European conference on operational research EURO 2016 (Poznan, 3–6 July 2016).
Brans, J. P. (1982). L’ingénierie de la décision. Elaboration d’instruments d’aide à la décision. Methode PROMETHEE. Instruments et Perspectives Davenir (pp. 183–214). Quebec: Universite Laval.
Brans, J. P., Mareschal, B., & Vincke, P. (1984). PROMETHEE: A new family of outranking methods in multicriteria analysis. Operational Research, 84, 447–490.
Brans, J. P., Mareschal, B., & Vincke, P. (1986). How to select and how to rank projects: The PROMETHEE method. European Journal of Operational Research, 24(2), 228–238.
Bruntland, G. (Ed.). (1987). Our common future. Oxford: Oxford University Press.
Corrente, S., Greco, S., Kadzinski, M., & Słowi’nski, R. (2013). Robust ordinal regression in preference learning and ranking. Machine Learning, 93(2–3), 381–422.
Corrente, S., Greco, S., Kadzinski, M., Słowi’nski, R. (2014). Robust ordinal regression. Wiley Encyclopedia of Operations Research and Management Science, (pp. 1–10). Hoboken, US: Wiley
Costa, A. S., Figueira, J. R., & Borbinha, J. (2018). A multiple criteria nominal classication method based on the concepts of similarity and dissimilarity. European Journal of Operational Research, 271(1), 193–209.
Costa, A. S., Lami, I. M., Greco, S., Figueira, J. R., & Borbinha, J. (2019). A multiple criteria approach dening cultural adaptive reuse of abandoned buildings. In M. H. S. Geiger & A. de Almeida (Eds.), Multiple criteria decision-making and aiding – Cases on decision-making methods and models with computer implementations (pp. 193–218). Cham, Switzerland: Springer.
De Magalhaes, C. (2015). Urban Regeneration. In International encyclopedia of the social & behavioral sciences. Amsterdam: Elsevier.
Faludi, A. (Ed.). (1973). A reader in planning theory (Urban and regional planning series 5). New York: Pergamon Press.
Figueira, J., & Roy, B. (2002). Determining the weights of criteria in the ELECTRE type methods with a revised Simos’ procedure. European Journal of Operational Research, 139, 317–326.
Figueira, J., Greco, S., & Ehrgott, M. (Eds.). (2005). Multiple criteria decision analysis. State of the art survey. New York: Springer.
Figueira, J., Greco, S., & Roy, B. (2009). Electre methods with interaction between criteria: An extension of the concordance index. European Journal of Operational Research, 199, 478–495.
Figueira, J., Greco, S., & Słowi’nski, R. (2010). Building a set of additive value functions representing a reference preorder and intensities of preference: GRIP method. European Journal of Operational Research, 195(2), 460–486.
Greco, S., Matarazzo, B., & Słowiński, R. (2001). Rough sets theory for multicriteria decision analysis. European Journal of Operational Research, 129, 1–47.
Greco, S., Matarazzo, B., & Słowiński, R. (2008a). Dominance-based rough set approach to interactive multiobjective optimization. In J. Branke, K. Deb, K. Miettinen, & R. Słowiński (Eds.), Multiobjective optimization, LNCS (Vol. 5252, pp. 121–155). Heidelberg/New York: Springer-Verlag Berlin.
Greco, S., Mousseau, V., & Słowinski, R. (2008b). Ordinal regression revisited: Multiple criteria ranking using a set of additive value functions. European Journal of Operational Research, 191(2), 416–436.
Healey, P. (2007). Urban complexity and spatial strategies. Towards a relational planning for our times. London/New York: Routledge.
Lami, I. M. (2014). Evaluation tools to support decision-making process related to European corridors. In I. M. Lami (Ed.), Analytical decision-making methods for evaluating sustainable transport in European corridors (pp. 85–102). Cham: Springer International Publishing AG.
Lami, I. M. (2019). The context of urban renewals as a ‘Super-Wicked’ problem. In F. Calabrò, L. Della Spina, & C. Bevilacqua (Eds.), New metropolitan perspectives. ISHT 2018. Smart innovation, systems and technologies (Vol. 100, pp. 249–255). Cham: Springer.
Lami, I. M., Abastante, F., Bottero, M., Masala, E., & Pensa, S. (2014). A MCDA and data visualization framework as a problem structuring method (PSM) to address transport projects. Euro Journal of Decision Processes (EJDP), Special ISSUE on Problem Structuring, 2(3–4), 281–312.
Mondini, G. (2008). Il progetto di sostenibilità . In P. Lombardi (Ed.), Riuso edilizio e rigenerazione urbana. Innovazione e partecipazione. Torino: Celid.
Munda, G. (2005). Social multi-criteria evaluation for urban sustainability policies. Land Use Policy, 23, 86–94.
Pensa, S., Masala, E., & Lami, I. M. (2013). Supporting planning processes by the use of dynamic visualization. In S. Geertman, F. Toppen, & J. Stillwell (Eds.), Planning support Systems for Sustainable Urban Development (pp. 451–467). Berlin Heidelberg: Springer.
Roy, B. (1993). Decision science or decision-aid science? European Journal of Operational Research, 66(2), 184–203.
Roy, B., & Bouyssou, D. (1993). Aide Multicritére à la Décision: Méthodes et cas. Paris: Economica.
Roy, B., & Slowinski, R. (2013). Question guiding the choice of a multicriteria decision aiding method. EURO Journal on Decision Processes, 1(1), 69–97.
Ruegg, J. (1994). Formes du PPP. In J. Ruegg, S. Decoutère, & N. Mettan (Eds.), Le partenariat public-privé. Presses Polytechniques et universitaires Romandes (pp. 79–98). Lausanne.
Saaty, T. L. (2005). Theory and applications of the analytic network process. Pittsburgh: RWS Publications.
Secchi, B. (1984). Il racconto urbanistico. Torino: Einaudi.
Simon, H. A. (1960). The new science of management decision. New York: Harper and Brothers.
Vincke, J. P., & Brans, J. P. (1985). A preference ranking organization method. The PROMETHEE method for MCDM. Management Science, 31, 641–656.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Lami, I.M., Bottero, M., Abastante, F. (2021). Multiple Criteria Decision Analysis to Assess Urban and Territorial Transformations: Insights from Practical Applications. In: Rezaei, J. (eds) Strategic Decision Making for Sustainable Management of Industrial Networks. Greening of Industry Networks Studies, vol 8. Springer, Cham. https://doi.org/10.1007/978-3-030-55385-2_6
Download citation
DOI: https://doi.org/10.1007/978-3-030-55385-2_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-55384-5
Online ISBN: 978-3-030-55385-2
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)