FORMATION OF THE INTELLECTUAL SYSTEMS FOR THE TERRITORIAL DEVELOPMENT OF LAND ADMINISTRATION IN THE COASTAL REGIONS

Author:

Bieliatynskyi Andrii1,Mingming Wen2,Chang Liu3,Mamonov Kostyantyn4,Dymchenko Olena5

Affiliation:

1. School of Civil Engineering, North Minzu University, 204 Wenchang Road, 750021 Yinchuan, NingXia, P.R. China

2. Institute of Management, Guangdong Ocean University, 74780 Zhanjiang, Guangdong, China

3. Institute of Electronics and Information Engineering, Guangdong Ocean University, 74780 Zhanjiang, Guangdong, China

4. Department of Land Administration and Geoinformation Systems, O.M. Beketov National University of Urban Economy, 17 Marshal Bazhanov Str., 61002 Kharkiv, Ukraine

5. Department of Entrepreneurship and Business Administration, O.M. Beketov National University of Urban Economy, 17 Marshal Bazhanov Str., 61002 Kharkiv, Ukraine

Abstract

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.

Publisher

Vilnius Gediminas Technical University

Subject

Management, Monitoring, Policy and Law,Nature and Landscape Conservation,Environmental Engineering

Reference27 articles.

1. Dovbysh, A. S. (2009). Fundamentals of designing intelligent systems. https://essuir.sumdu.edu.ua/handle/123456789/1407

2. EDU Blog. (2017). Artificial intelligence: History and prospects. https://edublog.com.ua/blog/id1306053891/posts/moi-publikatsii/istoriya-rozvytku-shtuchnoho-intelektu

3. Everest-AI-Review. (2018). AI: Key areas and prospects for application. https://www.everest.ua/ai-platform/analytics/ai-klyuchovi-sferi-ta-perspektivi-zastosu/

4. Intellective systems and technologies. (2021). https://khai.edu/ua/specialties/kompyuterni-nauki/41/

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3