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• The joint revealed and stated preferences model assesses the users' preferences in terms of urban parks. • The discrete choice experiment (DCE) collects data about new park features. • The travel cost method (TCM) examines the correlation between the new park and the existing green areas. • The results guide the choice of decision-makers about the functions to be located. • The integrated approach contributes to determine sustainable urban or peri‑urban park strategies. Inclusive and participatory decision-making is a sustainable option for governments and decision-makers to support real transformation and planning of policies and actions. Investigating and gathering the various views and opinions of stakeholders and citizens is particularly effective because it opens up a range of possibilities in co-constructing the city of the future. Among urban areas requiring planning, Urban Green Infrastructures (UGIs) represent spaces designed to improve the character of neighborhoods, as well as to increase the well-being of users. To achieve these goals, planners should adopt a design approach in which UGIs projects are shaped by local community concerns rather than by market conventions in urban design. Focusing on green recreational areas, this study employs an integrated approach combining Revealed (RP) and Stated Preferences (SP) to investigate citizens' preferences regarding urban parks. In particular, the experiment combines Travel Cost Method (TCM) and Discrete Choice Experiment (DCE) for supporting a requalification project in an ex-industrial area of Turin (Italy). In this way, it was possible to understand which facilities can contribute to increasing the citizens' well-being and the overall efficiency of the UGIs provision and maintenance. The proposed methodology represents an operational and replicable procedure to support different renewal projects in which citizens' opinions are crucial for developing long-term sustainable socio-ecological plans and actions. [ABSTRACT FROM AUTHOR]

In this paper we deal with an urban and territorial planning problem by applying the Non Additive Robust Ordinal Regression (NAROR). NAROR is a recent extension of the Robust Ordinal Regression family of Multiple Criteria Decision Aiding methods to the Choquet integral preference model which permits to represent interaction between considered criteria through the use of a set of non-additive weights called capacity or fuzzy measure. The use of NAROR permits the Decision Maker (DM) to give preference information in terms of preferences between pairs of alternatives with which she is familiar, and relative importance and interaction of considered criteria. The basic idea of NAROR is to consider the whole set of capacities that are compatible with the preference information given by the DM. In fact, the recommendation supplied by NAROR is expressed in terms of necessary preferences, in case an alternative is preferred to another for all compatible capacities, and of possible preferences, in case an alternative is preferred to another for at least one compatible capacity. In the considered case study, several sites for the location of a landfill are analyzed and compared through the use of the NAROR on the basis of different criteria, such as presence of population, hydrogeological risk, interferences on transport infrastructures and economic cost. This paper is the first application of NAROR to a real-world problem, even if not already with real DMs, but with a panel of experts simulating the decision process. [ABSTRACT FROM AUTHOR]

A resilient city includes multiple energy carriers, high-efficiency infrastructure, lower resource demand to decarbonize and sustain the urban system in accordance with the Paris Agreement, the United Nations 2030 Agenda for Sustainable Development, and the various recovery plans following the COVID-19 pandemic period. To achieve these goals, a key role is played by all urban sectors, which can reduce environmental impacts and accelerate the green transition at larger scale. Intervening on a district scale obviously requires the evaluation of different aspects, taking into account both economic and non-economic criteria, as well as different points of view, involving all stakeholders. This paper proposes a multi-step evaluation procedure that extends the European manual-based Cost-Benefit Analysis (CBA) to include the extra-economic benefits and the stakeholders' opinion in the evaluation, according to the COmpoSIte Model for Assessment (COSIMA) method. This is the first application of COSIMA in the urban design sectors (i.e. buildings, water, public lighting, transportation and waste management) where different sustainable measures for a real case study located in Turin (Italy) were compared to define the most suitable transformation scenario according to multiple criteria. The results have shown how invasive scenarios allow achieving the greatest benefits, despite the huge initial costs of realization. • Decarbonizing the urban system is a priority nowadays. • Considering an urban regeneration process all urban sectors is necessary. • COSIMA proposes a standardized approach to evaluate projects at the district level. • The multi-step approach evaluates energy, environmental, social performances. • Sectors considered are residential buildings, water, transport, waste management. [ABSTRACT FROM AUTHOR]