Incorporating stakeholders’ knowledge in group decision-making

International audienc

Multiple Criteria Assessment of Insulating Materials with a Group Decision Framework Incorporating Outranking Preference Model and Characteristic Class Profiles

We present a group decision making framework for evaluating sustainability of the insulating materials. We tested thirteen materials on a model that was applied to retrofit a traditional rural building through roof's insulation. To evaluate the materials from the socio-economic and environmental viewpoints, we combined life cycle costing and assessment with an adaptive comfort evaluation. In this way, the performances of each coating material were measured in terms of an incurred reduction of costs and consumption of resources, maintenance of the cultural and historic significance of buildings, and a guaranteed indoor thermal comfort. The comprehensive assessment of the materials involved their assignment to one of the three preference-ordered sustainability classes. For this purpose, we used a multiple criteria decision analysis approach that accounted for preferences of a few tens of rural buildings' owners. The proposed methodological framework incorporated an outranking-based preference model to compare the insulating materials with the characteristic class profiles while using the weights derived from the revised Simos procedure. The initial sorting recommendation for each material was validated against the outcomes of robustness analysis that combined the preferences of individual stakeholders either at the output or at the input level. The analysis revealed that the most favorable materials in terms of their overall sustainability were glass wool, hemp fibres, kenaf fibres, polystyrene foam, polyurethane, and rock wool

A Methodology for the Selection of Multi-Criteria Decision Analysis Methods in Real Estate and Land Management Processes

Real estate and land management are characterised by a complex, elaborate combination of technical, regulatory and governmental factors. In Europe, Public Administrators must address the complex decision-making problems that need to be resolved, while also acting in consideration of the expectations of the different stakeholders involved in settlement transformation. In complex situations (e.g., with different aspects to be considered and multilevel actors involved), decision-making processes are often used to solve multidisciplinary and multidimensional analyses, which support the choices of those who are making the decision. Multi-Criteria Decision Analysis (MCDA) methods are included among the examination and evaluation techniques considered useful by the European Community. Such analyses and techniques are performed using methods, which aim to reach a synthesis of the various forms of input data needed to define decision-making problems of a similar complexity. Thus, one or more of the conclusions reached allow for informed, well thought-out, strategic decisions. According to the technical literature on MCDA, numerous methods are applicable in different decision-making situations, however, advice for selecting the most appropriate for the specific field of application and problem have not been thoroughly investigated. In land and real estate management, numerous queries regarding evaluations often arise. In brief, the objective of this paper is to outline a procedure with which to select the method best suited to the specific queries of evaluation, which commonly arise while addressing decision-making problems. In particular issues of land and real estate management, representing the so-called “settlement sector”. The procedure will follow a theoretical-methodological approach by formulating a taxonomy of the endogenous and exogenous variables of the multi-criteria analysis method

A multiple criteria methodology for prioritizing and selecting portfolios of urban projects

This paper presents an integrated methodology supporting decisions in urban planning. In particular, it deals with the prioritization and the selection of a portfolio of projects related to buildings of some values for the cultural heritage in cities. More precisely, our methodology has been validated to the historical center of Naples, Italy. Each project is assessed on the basis of a set of both quantitative and qualitative criteria with the purpose to determine their level of priority for further selection. This step was performed through the application of the Electre Tri-nC method which is a multiple criteria outranking based method for ordinal classification (or sorting) problems and allows to assign a priority level to each project as an analytical "recommendation" tool. To identify the efficient portfolios and to support the selection of the most adequate set of projects to activate, a set of resources (namely budgetary constraints) as well as some logical constraints related to urban policy requirements have to be taken into consideration together with the priority of projects in a portfolio analysis model. The process has been conducted by means of the interaction between analysts, municipality representative and experts. The proposed methodology is generic enough to be applied to other territorial or urban planning problems. We strongly believe that, given the increasing interest of historical cities to restore their cultural heritage, the integrated multiple criteria decision aiding analytical tool proposed in this paper has significant potential to be used in the future

MULTICRITERIA PRIORITIZATION OF POLICY INSTRUMENTS IN BUILDINGS ENERGY RETROFIT

Improvement of energy-efficiency in residential buildings is a crucial issue in Italy, where 55% of the building stock is older than 40 years and real estate assets are responsible for 33% of primary energy consumption. Consequently, the Italian residential sector offers considerable potential for reducing energy use and GHG emissions, particularly through energy-efficient renovations. Governments can introduce a wide range of policy instruments to encourage households in undertaking energy-efficient renovations: direct financial investments, regulatory instruments (e.g., performance and technology standards), economic and market-based instruments, support information and voluntary actions. Since 2006, the Italian Government has introduced fiscal incentive programs to enhance energy efficiency in residential buildings. During the period 1998-2016 the cost for the Italian Government to due to fiscal incentives (i.e. tax deductions) was extremely high compared to tax revenues. Thus incentives turned out to be excessively costly and not cost-effective. The design and implementation of incentive policies to buildings energy retrofit is a complex process involving a great number of decision variables and actors. Cost-effective incentive policies should prove capacity in stimulating investments, reducing social and environmental costs and promoting innovation. This complexity is exacerbated in the presence of stringent public budget constraints and lack of financial resources. In order to favor the implementation of cost-effective retrofit strategies, the policy maker must take into consideration along with buildings age and construction materials, social costs and benefits, EU and national targets, and environmental concerns. In this context, where multiple objectives need to be pursued, multiple criteria approaches provide a methodological framework to address the complexity of economic, physical, social, cultural and environmental factors which characterize incentive policies. In this paper we propose a multi-criteria decision model to support the policy maker in ranking sustainable incentive policies. In detail, we provide an AHP model for multiple-criteria prioritization of policy instruments to foster investments in energy retrofit of existing buildings