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In this paper, we present a methodology based on a multiobjectiveoptimization suggesting which facility to implement, in which location, and atwhich time. In this context, we define a new elicitation procedure to handleDecision Makers (DMs) preferences with an intrinsic and more general interestthat goes beyond the specific decision problem. In particular, the user'spreferences are elicited by conjugating the deck of cards method with theordinal regression approach allowing the DM to provide preference informationin terms of ranking and pairwise comparing with regard to the intensity ofpreference of some solutions of the optimization problem. Then, the score ofthe reference solutions obtained through the deck of the cards method is usedas a basis for an ordinal regression procedure that, to take into accountinteraction between criteria, represents DM's multicriteria preferences bymeans of a value function expressed in terms of a Choquet Integral. Theobtained value function is then used to define a multiobjective optimizationproblem. The new feasible solutions obtained by the resolution of theoptimization problem are proposed to the DM to verify his appreciation andcollect further new preference information to iterate the interaction procedureending when the DM is satisfied of the proposed solution. We apply ourmethodology to a real world problem to handle the planning procedure of asustainable Ecovillage in the province of Turin (Italy). We consider a set offacilities to be distributed in a given space in a proper temporal sequencethat we conveniently formulated in terms of the space time model introduced byBarbati et al. (2020). We interact with the President of the cooperative owningthe Ecovillage to detail what facilities of the Ecovillage should be selectedamong the proposed ones, where they should be located, and when they should beplanned.

A new Ordinal Regression procedure for Multiple Criteria Decision Aiding: the case of the space time model for a sustainable Ecovillage