Open AccessDecision-making models using the Analytical Hierarchy Process in the urgency of land consolidation works
Author(s) -
Grzegorz Oleniacz,
Izabela Skrzypczak,
Przemysław Leń
Publication year - 2019
Publication title -
journal of water and land development
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.377
H-Index - 16
eISSN - 2083-4535
pISSN - 1429-7426
DOI - 10.2478/jwld-2019-0072
Subject(s) - analytic hierarchy process , land consolidation , thematic map , consolidation (business) , ranking (information retrieval) , computer science , land use , operations research , hierarchy , management science , agriculture , business , engineering , civil engineering , geography , economics , artificial intelligence , cartography , market economy , accounting , archaeology
Poland is characterized by a number of factors which adversely affect the agricultural economy, so this paper will aim to present the possibilities of using multi-criteria decision-making methods of Analytical Hierarchy Process (AHP) in the analysis of the spatial structure of rural areas. AHP is a widely used tool for making complex decisions based on a large number of criteria, such as, for example, land consolidation works on fragmented agricultural land. The first step is to formulate the decision-making process, then the assessment criteria and the solution variants guided by expert knowledge are determined. A ranking, according to which the order of land consolidation and land exchange works in the studied area should be determined, will be defined by using decision-making models of the AHP method. The basis for calculations will be the weights received for the factors/parameters defined for the five thematic groups. Calculations for individual villages will be made, and then the obtained results will allow creating a ranking for the studied commune, allowing for the effective (in terms of economic and socio-economic) spending of funds for this purpose. The presented method can be successfully used to conduct analogous analyses for any area.