Papagiannis, F, Gazzola, P, Pokutsa, I and Burak, O (2020) An Intelligent Environmental Plan for Sustainable Regionalisation Policies: The Case of Ukraine. Environmental Science and Policy, 108. pp. 77-84. ISSN 1462-9011

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Abstract

This paper introduces an environment-driven, artificial intelligence model for sustainable policymaking in European countries, with a focus on Ukraine. It develops regional clusters using artificial neural networking; then, it dynamically optimises budgeting allocations. It is a hybrid, environment-driven model that clusters regionalised-data using Kohonen’s self-organising map and optimises budget allocations using the simplex-modified distribution method (U-V MODI). Model benefits focus on regional public policies, environmental development, and core-periphery balanced growth. Results reveal an innovative plan that activates the participation of environmental stakeholders in public policymaking, reforms regions based on set sustainability criteria, and optimises regional funding. Keywords: Environmental planning, sustainable public policy, environment-driven regional policies, artificial neural network methodology

Item Type:	Article
Uncontrolled Keywords:	05 Environmental Sciences, 16 Studies in Human Society, 07 Agricultural and Veterinary Sciences
Subjects:	G Geography. Anthropology. Recreation > GE Environmental Sciences G Geography. Anthropology. Recreation > G Geography (General) > G149 Travel. Voyages and travels (General) > G154.9 Travel and state. Tourism
Divisions:	Business & Management (from Sep 19)
Publisher:	Elsevier
Date Deposited:	14 Apr 2020 10:46
Last Modified:	04 Sep 2021 07:29
URI:	https://researchonline.ljmu.ac.uk/id/eprint/12722

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