| Title |
Phase-Based Response Time Criteria for Architectural Programming of Mobile Hospitals: A Data-Driven Analysis of Disaster Recovery Duration |
| DOI |
https://doi.org/10.5659/JAIK.2026.42.4.53 |
| Keywords |
Disaster Response; Emergency Medical Care; Mobile Hospital; Recovery Rate; Dispatch Criteria Improvement |
| Abstract |
This study proposes a data-driven framework for mobile hospital deployment, addressing the limitations of current qualitative guidelines that
are primarily focused on short-term responses. By analyzing the recovery duration of 117 disasters in Korea from 2014 to 2022, this research
quantifies the temporal characteristics of disaster response. A 6th-order polynomial regression analysis on the recovery rate data identified a
dynamic pattern with distinct inflection points empirically defining the boundaries between acute, subacute and chronic phases. Based on these
findings, a four-phased deployment model?Phase A (0?2h), Phase B (2?72h), Phase C (72?1,488h), and Phase D (≥1,488h)?is proposed.
The analysis identifies Phase B as the most critical period with the highest disaster occurrence(52.14%) and casualty rates (64.97%, excluding
COVID-19) demanding a strategic concentration of advanced medical resources within this 2 to 72 hour time-frame. This time-based
framework offers a quantitative foundation for enhancing national disaster response policies and provides a practical roadmap for the phased
operation of rapid response mobile hospitals. |