Chapter 4. Information technologies in scenario-based modeling of post-conflict territory remediation: from express sanitation to sustainable recovery
Keywords:
digital management, traditional remediation (TR), green remediation (GR), complementarity, invasion, scenario modeling, geographic information systems (GIS), machine learning (ML), multi-criteria analysis (MCDA), optimization algorithms, express sanitation, sustainable recovery
Synopsis
The study presents a comprehensive analysis of the application of information technologies in scenario modeling of remediation of post-conflict territories, within the sample of three regions of Ukraine, affected to different degrees and scales by military activity (Kherson, Zaporizhzhia, Kharkiv regions), as a practical case. A hybrid integrated model has been developed by the author and proposed for implementation, combining geographic information systems (GIS), machine learning (ML), optimization algorithms, and other tools of modular deployment of digital infrastructure. The developed remediation model is based on the principle of complementarity, combining traditional and green methods depending on the scenario. Such flexibility ensures the adoption of the most well-founded managerial decisions and accelerates the transition to sustainable recovery. In the study, gradient boosting algorithms and Online ML were used for the purpose of providing predictive modeling and dynamic response in real-time mode. A comparative analysis of remediation scenarios was carried out using digital modeling, KPIs, and predictive algorithms. The results of the modeling confirm the high relevance and practical significance of the triad ML+GIS+IoT, and also demonstrate the viability of the modular remediation system. The author proposed using matrices of validity of digital components and heat maps, which will allow the justified selection of digital solutions; forecasting the risks of their implementation, as well as forming strategies for their phased implementation.
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Copyright (c) 2025 Bohdan Cherniavskyi ________________________________________ How to Cite: Cherniavskyi, B.; Cherniavska, T. (Ed.) (2025). Information technologies in scenario-based modeling of post-conflict territory remediation: from express sanitation to sustainable recovery. Ecological systems modeling. Tallinn: Scientific Route OÜ, 74-95. https://doi.org/10.21303/978-9908-9706-6-0.ch4
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