Methodology for determining the optimal location of residential buildings using multi-criteria analysis and geoinformation systems
Students Name: Romanovskyi Andrii Doriiovych
Qualification Level: magister
Speciality: Geoinformation System and Technology
Institute: Institute of Geodesy
Mode of Study: full
Academic Year: 2020-2021 н.р.
Language of Defence: англійська
Abstract: Romanovskyi A.D., Babushka A.V. (supervisor). Methodology for determining the optimal location of residential buildings using multi-criteria analysis and geoinformation systems. Master’s thesis. – Lviv Polytechnic National University, Lviv, 2020. Extended abstract Multi-criteria analysis is a methodology of selection of optimal solutions designed on numerous calculations based on selected criteria with different weights of influence on the final result. Criteria weights calculating according to the basic theory of MCA - analytic hierarchy process (AHP) [1]. By pairwise comparison of each selected and scaled assessment criteria, priority vectors (Wj) are determined [2]. The approach of weighted overlay to combine all layers of the input criteria in one result was applied using the Weighted Overlay tool of the special extension Spatial Analyst in the software package ArcGIS. This technique is widely used in geographic information technology [3]. MCA is especially effective for solving spatial planning problems: how to determine the optimal location of industrial facilities, in particular, solar power plants [4,5]; and selecting the optimal location of housing [6,7]. Study object - residential development of the primary market within the administrative boundaries of Lviv. Scope of research - a method of multi-criteria analysis of geospatial data to assess the level of suitability of housing in the study areas. Goal of research - the creation of maps of the suitability city of Lviv for the residence selection. As a result of the master’s thesis, maps of the suitability of the Lviv territories for the residence selection for three categories of the population were created: families with children, students, and seniors. Keywords: multi-criteria analysis, analytic hierarchy process, geographic information systems, Weighted Overlay, optimal housing location. References 1. Saaty, T.L. (1980). The Analytic Hierarchy Process. McGraw-Hill International: New York, NY, USA. 2. Saaty, T.A. (1997). A scaling method for priorities in hierarchical structures. J. Mathem. Psychol., 234–281. 3. Domazetovic, F., Siljeg, A., Loncar, N., & Maric, I. (2019). GIS automated multicriteria analysis (GAMA) method for susceptibility modelling. MethodsX, 6, 2553-2561. 4. Perovych, L. and Kereush, D. (2017). Technology of optimal site selection for solar photovoltaic power plants using GIS and remote sensing techniques. Geodesy, Cartography and Aerial Photography, 86, 73–79. 5. Yankiv-Vitkovska, L., Peresunko, B., Wyczalek, I., & Papis, J. (2020). Site selection for solar power plant in Zaporizhia city (Ukraine). Geodesy and Cartography, 97-116. 6. Albacete, X., Pasanen, K., & Kolehmainen, M. (2012). A GIS-based method for the selection of the location of residence. Geo-spatial Information Science, 15(1), 61-66. 7. Babushka, A., Romanovskyi A. (2020). Application of Multi-Criteria Decision Making to create a map of suitability areas of city Lviv for selection of the location a residence. [Електронний ресурс]. – Режим доступу: https://openreviewhub.org/geoterrace/paper-2020/application-multi-criteria-decision-making-create-map-suitability-areas-city