Artificial Intelligence and Data Science
Online ISSN : 2435-9262
A Decision Support Framework Using the Model Context Protocol for Enhancing BCP Effectiveness in Social Welfare Facilities
Shiori KuboPang-jo Chun
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JOURNAL OPEN ACCESS

2026 Volume 7 Issue 1 Pages 358-367

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Abstract

In social welfare facilities, ensuring the effectiveness of Business Continuity Planning (BCP) is a critical challenge because a large number of residents require special assistance during disasters. Disaster response is highly context-dependent, and human and temporal constraints change dynamically over time. As a result, preparing BCPs solely as static planning documents are insufficient to adequately anticipate flexible responses to evolving disaster conditions. In this study, a decision support framework based on the Model Context Protocol is developed to support BCP-based decision-making under varying disaster conditions and staffing constraints. The proposed framework generates action scenarios that account for staff mobilization constraints caused by disasters and visualizations, along a temporal axis, phases in which decision-making demands intensify as well as operational tasks that become difficult to execute, thereby enabling prior examination and consideration of such situations. Through a case study focusing on a storm surge disaster at a social welfare facility, this study demonstrates that the framework can identify decision-making bottlenecks and planning challenges that are difficult to capture using conventional BCP documents alone.

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© 2026 Japan Society of Civil Engineers
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