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Geodata influencing land market and sustainable development

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The suitability of a land plot in a real estate market could be identified as a good investment because the land plot is deemed as popular. This activity is important for economic growth, who is one of the sustainable development goals. Mostly, all research in this field is focused on sustainability as well as the opinions of professionals. However, this field should be explored from another side which is based on real geodata. Criteria and its weight are very important in decision support systems. The correct criteria can help in selection of the best real estate object for an investment, but it is not only useful but also and a challenging task that has not yet been solved. The methods of research are data graphical analysis, correlation, decision supporting systems, etc. The research aims at determining the significance of the connections and using them as the criteria in the selected decision supporting method. In addition, it will be determined which decision supporting method defines the most suitable object for investment. These new criteria are proposed for operation in the land use models. Furthermore, it has been identified as one criterion, which is significant in the urban and agrarian territories. Also it turned out, that the land plot is the most active when it is as far from a densely built-up residential territory as possible and as close to a school, and when the land plot is as large as possible.
Rocznik
Strony
3--17
Opis fizyczny
Bibliogr. 43 poz., rys., tab.
Twórcy
  • National Land Service under the Ministry of Agriculture, Gedimino pr. 19, Vilnius, Lithuania Vytautas Magnus University, K.Donelaiˇcio g. 58, Kaunas, Lithuania
Bibliografia
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  • [5] Ciegis, R., Ramanauskiene˙, J. and Startiene, G. (2009). Theoretical Reasoning of the Use of Indicators and Indices for Sustainable Development Assessment. Inzinerine Ekonomika-Engineering Economics, 3, 33–40.
  • [6] Dzikevicius, A., Kazlauskas, L. and Bruzg˙e, Š. (2015). Evaluation of factors leading to formation of price – bubbles in the real estate market of Lithuania. Business: theory and practice, 16, 345–352. DOI: 0.3846/btp.2015.544.
  • [7] Gaudešius, R. and Aleknavicius, P. (2015). Agricultural land market activity according to the properties of the land. Agricultural Sciences, (22)3, 163–172. DOI: 10.6001/zemesukiomokslai.v22i3.3157.
  • [8] Giudice, V., Pierfrancesco, P., Francesca, T., Nijkamp, P.J. and Shapira, A. (2019). Real Estate Investment Choices and Decision Support Systems. Sustainability, 11. DOI: 10.3390/su11113110.
  • [9] Guarini, M.R. and Battisti, F. (2016). Application of a multi-criteria and participated evaluation procedure to select typology of intervention to redevelop degraded urban area. Social and Bechavioral sciences, 223, 960–967. DOI: 10.1016/j.sbspro.2016.05.329.
  • [10] Hallstedt, S.I. (2015). Sustainability criteria and sustainability compliance index for decision support in product development. Journal of Cleaner Production, 30, 1–16. DOI: 10.1016/j.jclepro.2015.06.068.
  • [11] Hong, L. (2014). The Dynamic Relationship between Real Estate Investment and Economic Growth: Evidence from Prefecture City Panel Data in China. IERI Procedia, Special issue: International Conference on Applied Computing, Computer Science, and Computer Engineering, 7, 2–7. DOI: 10.1016/j.ieri.2014.08.002.
  • [12] Huang,W. and Ma, H. (2015). Research on the Influence of Real Estate Investment and Economic Growth in China. International Conference on Management Engineering and Management Innovation, 10-11 January 2015 (pp. 235–239). Changsha, China. DOI: 10.2991/icmemi-15.2015.41.
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  • [15] Karim, R. and Karmaker, C.L. (2016). Machine selection by Ahp and Topsis methods. American Journal of Industrial Engineering, 4(1), 7-1.
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  • [29] Mosadeghi, R., Warnken, J., Tomlinson, R. and Mirfendereskc, H. (2015). Comparision of fuzzy –AHP and AHP in a spatial multi-criteria decision making model for urban land-use planning. Computers, environmental and urban systems, 45, 54-65. DOI: 10.1016/j.compenvurbsys.2014.10.001.
  • [30] Mulliner, E. and Maliene, V. (2011). Criteria for Sustainable Housing Affordability. In: Proceedings of the 8th International Conference on Environmental Engineering. Vilnius, Lithuania, 19–20 May 2011, pp. 966–973.
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  • [36] Roshanfekr, S., Tawil, N.M. and Goh, N.A. (2016). Investigation of Sustainable Housing Criteria. MATEC Web of Conferences, 66, 00096. DOI: 10.1051/matecconf/20166600096.
  • [37] Said, R., Majid, R., Alias, A. and Adnan, Y.M. (2016). Sustainable housing affordability in sabah. Journal of the Malaysian Institute of Planners, 5, 65–76.
  • [38] Salehi, A. and Izadikhah, M. (2014). A novel method to extend SAW for decision-making problems with interval data. Decision Science Letters, 3, 225–236. DOI: 10.5267/j.dsl.2013.11.001.
  • [39] Saraff, A.Z., Mohaghar A. and Bazargani, H. (2013). Developing Topsis method using statistical normalization for selecting knowledge management strategies. Journal of Industrial Engineering and Management, 6(4), 860–875. DOI: 10.3926/jiem.573.
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  • [41] Tang, J., Zhu, H., Jia, F. and Zheng, X. (2019). Urban Sustainability Evaluation under the Modifed TOPSIS Based on Grey Relational Analysis. International journal of environmental research and public health, 16 (256). DOI: 10.3390/ijerph16020256.
  • [42] Tumelionis, A. (2013). Topicalities of Comparative Method Calculations. From: Outlines of Property Theory and Practice 2013. Lithuanian Association of Property Valuers, Vilnius University, Faculty of Economics. Steponas Deveikis. – Vilnius: LTVA, 38-54.
  • [43] Zhang, Y.J., Li, A.J. and Fung, T. (2012). Using GIS and Multi-criteria decision analysis for conflict resolution in land use planning. Environmental Science, 13, 2264–2273. DOI: 10.1016/j.proenv.2012.01.215.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-84301e0e-827e-4f80-b94e-1bef1b703622
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