An Analysis of Preferences in Housing Demand by Means of a Multicriteria Methodology (AHP). A More Sustainable Approach

被引:2
|
作者
Cervello-Royo, Roberto [1 ]
Segura, Marina [2 ]
Garcia-Perez, Regina [1 ]
Segura-Garcia del Rio, Baldomero [1 ]
机构
[1] Univ Politecn Valencia, Fac Business Adm & Management, Econ & Social Sci Dept, Camino Vera S-N, Valencia 46022, Spain
[2] Univ Complutense Madrid, Financial Econ & Stat Dept, Campus Somosaguas, Madrid 28223, Spain
关键词
preferences; sustainable real estate market; housing demand; housing supply; multicriteria; AHP; public urban policies; AGGREGATED COMPARISON MATRICES; CONSISTENCY;
D O I
10.3390/su13147550
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper examines key aspects of the behavior of housing demand from a sustainable standpoint. Most studies have mainly focused on housing supply, looking at quantitative predictions without considering the qualitative relationship found between housing values and housing demand on a sustainable and microeconomic scale. We used a multicriteria decision methodology (analytic hierarchy process-AHP) for the analysis of preferences in demand, based on the theory of multi-attribute utility of housing, to determine the relative importance of each characteristic of housing and its influence on the decision-making process. For this purpose, we carried out the study over three main groups of stakeholders in the housing market: real estate surveyors, real estate agents, and housing buyers (the latter representing the housing demand). Results show that although there might be some slight discrepancies among the three groups in the decision-making process and the weighting of housing attributes, the three groups agree in most of the process, especially when defining the criteria and the importance that each criterion has on the process of valuation. This study provides important managerial and sustainable implications for the real estate market related to urban public policy, as we highlight which criteria are most preferred.
引用
收藏
页数:16
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