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  • RISK‑ORIENTED GEOPORTAL DECISION SUPPORT SYSTEM FOR TERRITORIALLY DISTRIBUTED ORGANIZATIONAL SYSTEMS

    А.М. Bershadsky , S.А. Yamashkin
    278-297
    2026-07-07
    Abstract ▼

    The article discusses the development of a risk-oriented geoportal decision support system for territorially distributed organizational systems (TDOS). The aim of the work is to develop an architecture and a formalized model that integrates spatial data, risk structures, key performance indicators (KPIs), and management action options within a unified analytical framework. The relevance is due to the fact that classical DSS and geoportals fragmentarily cover the tasks of TDOS management due to the lack of integration of spatial analysis with risk cascading models, which leads to inconsistency of decisions and increased territorial vulnerability. The methodological foundation includes the formalization of "object-risk-indicator-impact" relationships, the construction of directed influence graphs, and mechanisms for the propagation of risk effects across the territory and management levels. A multi-layered architecture of the geoportal platform is proposed, including subsystems for spatial data collection, risk analytics, KPI dashboards, and scenario modeling. The technical implementation is based on open geoportals of the Russian Geographical Society and a unified spatial data repository. As a pilot area, the regional management system for development and natural resource use of the Republic of Mordovia was studied, where a prototype of the risk-oriented module was implemented. The article demonstrates the ability to visualize the distribution of natural and man-made risks, assess integral territorial vulnerability indices, and select priority management scenarios. The results of implementation at EM-KAT LLC showed a reduction in energy consumption. The application of the system in the Main Directorate of the Ministry of Emergency Situations for the Republic of Mordovia made it possible to optimize territorial management and increase risk predictability. The proposed approach ensures holistic and reproducible management of territorially distributed systems, increasing their resilience to local and transitive impacts, decision-making transparency, and the efficiency of interdepartmental coordination

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