Formation of the intellectual systems for the territorial development of land administration in the coastal regions

    Andrii Bieliatynskyi Affiliation
    ; Wen Mingming Affiliation
    ; Liu Chang Affiliation
    ; Kostyantyn Mamonov Affiliation
    ; Olena Dymchenko Affiliation


It is essential to create the quantitative basis for decision taking on increasing the efficiency of land administration in the coastal regions as an important factor of ensuring development at the regional level. The analysis of the existing scientific research showed lack of unity in theoretical and methodological approaches to defining the territorial development of land administration in the coastal regions, which has been characterized as a combination of spatial, urban planning, investment and environmental factors, the interrelation of which results in achieving a new condition of land management compared to the past, accounting for the social, institutional, managerial peculiarities and the level of communication between the stakeholders operating in the field of land administration in the regions.

Keyword : intelligent systems, land administration in coastal regions, territorial development, factors, integral index

How to Cite
Bieliatynskyi, A., Mingming, W., Chang, L., Mamonov, K., & Dymchenko, O. (2022). Formation of the intellectual systems for the territorial development of land administration in the coastal regions. Journal of Environmental Engineering and Landscape Management, 30(3), 424–432.
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Oct 14, 2022
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Dovbysh, A. S. (2009). Fundamentals of designing intelligent systems.

EDU Blog. (2017). Artificial intelligence: History and prospects.

Everest-AI-Review. (2018). AI: Key areas and prospects for application.

Gromov, Yu., Ivanova, O., Alekseev, V., Belyaev, M., Shvets, D., & Eliseev, A. (2013). Intelligent information systems and technologies. FGBOU VPO “TSTU”.

Intellective systems and technologies. (2021).

Izbachkov, Yu., Petrov, V., Vasiliev, A., & Telina, I. (2005). Information systems: A textbook for universities.

Karpenko, V. (2011). Hypothetical future of universal artificial intelligence. Philosophy of Science: Traditions and Innovations, 1(3), 57–64.

Kravtsiv, V. (2015). Territorial development and regional policy in Ukraine: Challenges and priorities of Ukraine. State Institution Institute of Regional Research named after M.I. Dolishniy of NAS of Ukraine.

Luger, G. (2004). Artificial intelligence: Strategies and methods for solving complex problems. Williams Publishing House.

Lutsenko, E. (2004). Intelligent information systems. KubGAU.

Makarenko, S. (2009). Intelligent information systems.

Mamonov, K. (2018b). Theoretical approaches to determining the territorial development of land use in the region. Technical Sciences: V. Vernadsky Tavriya National University, 68(6), 212–216.

Mamonov, K. (2018а). International experience in ensuring the territorial development of land use in the region. Municipal Economy, 146, 225–231.

Mamonov, K. (2019a). Methodological approach to the integral assessment of the regional lands use territorial development. Geodesy and Cartography, 45(3), 110–115.

Mamonov, K. (2019b). Territorial development of land use in the region: definition, evaluation and directions of transformations. FOP Panov AM.

Mamonov, K. (2020a). Territorial development of land use in the region: directions and features of evaluation. O.M. Beketov National University of Urban Economy.

Mamonov, K., Wen, M., & Kondratyuk, I. (2020b). Formation of investment inactiveness of the territories: experience of coastal regions of China. Priazovsky Economic Bulletin, 2(19), 171–176.

Matviychuk, A. (2011). Possibilities and prospects of creating artificial intelligence. Bulletin of the NAS of Ukraine, 12, 36–51.

Newell, A. (1980). Physical symbol system. Cognitive Science, 4, 135–183.

Radiosvoboda. (2019). Life in another dimension: Artificial intelligence and its impact on humanity.

Raghavan, N. (2018). How AI is driving digital transformation.

Sharov, S. (2015). The current state of development of intelligent information systems. Actual Problems of Higher Pedagogical Education, 130.

Streltsov, R. (2010). Artificial intelligence in education. DonNTU.

Suslova, I. A. (2008). Methods of teaching students of computer specializations using intelligent information systems. Russian State Vocational Pedagogical University.

World Economic Forum. (2016). Our shared digital future responsible digital transformation – Board briefing.

Yeroshkina, O. (2009). Territorial natural and economic differences as an objective basis for the territorial division of labor and regional development.

Zhelnin, M. E., Kudinov, V. A., & Belous, E. S. (2012). The role and place of expert systems in education. Scientific Notes: Electronic Scientific Journal of Kursk State University, 2(22).