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

Abstract

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 methods.

Integrating Sustainability into Major Infrastructure Projects: Four Perspectives on Sustainable Tunnel Development

“…Nevertheless, the current framework could be good inspiration for further development of such a framework with sustainability aspects or an assessment tool for tunnel projects. Further research could revolve around the development and use of decision support systems like multi-criteria decision analysis, see for example [50], and its link to the Q-methodology applied in our research.…”

Multicriteria decision aid for agile methods evaluation using fuzzy PROMETHEE

“…Moreover, it imitates human thinking to make preferences in a finite number of alternatives assessed on the basis of several conflicting criteria . Another advantage would be the ability of the method to support a large number of criteria and alternatives . Afful‐Dadzie et al affirmed that PROMETHEE method is preferred than other outranking MCDA approach because of its robustness in comparing alternatives performances and composite ranking.…”

“…12 Another advantage would be the ability of the method to support a large number of criteria and alternatives. 20 Afful-Dadzie et al 21 affirmed that PROMETHEE method is preferred than other outranking MCDA approach because of its robustness in comparing alternatives performances and composite ranking.…”

Optimizing the Choice of Limestone Deposits for the Production of Portland Cement in Cameroon

“…i The experience observed in the application of this decision support tool; ii The specific data of each deposit obtained by the documentary analysis of the work carried out in this field, observations and existing infrastructures in the country; iii Opinions and suggestions of some actors in the field of industry, research and decision-making in the field of Portland cement [33]. The weights were distributed in such a way that: the chemical composition of the raw materials and the estimated capacity was attributed 20%, the proximity to a qualified clay source, the area of the deposit and the limestone extraction easiness 15%, the accessibility 5% and proximity of an energy source 10%.…”