Jul 2026· 2026 IEEE 27th China Conference on System Simulation Technology and its Applications (CCSSTA)· pp. 702-706· 0 citations· 7 references
Abstract
In major disaster-induced mass casualty events, medical evacuation (MEDEVAC) serves as a key factor in determining casualty survival rates. To overcome the limitations of prior studies—particularly in constraint quantification and practical dispatching — we propose a multi-commodity flow model for MEDEVAC based on a time–space network. Using a state– time expanded network, our model integrates injury severity levels, time windows, asset capacity and type, facility heterogeneity, and route dependencies. We formulate a mixed-integer linear programming (MILP) model and develop a rolling-horizon branch-and-price algorithm. Case study results show an evacuation rate of 81.38% and an average waiting time of 77.81 minutes, demonstrating improved efficiency and resource utilization. This serves as a theoretical foundation for quantitative decision-making and dynamic scheduling of medical evacuation in major disasters.
This paper studies the scheduling optimization in casualty transportation after large-scale natural disasters, with a particular focus on the impact of injury heterogeneity on dispatch decisions. By considering different deprivation cost functions, we quantify the economic value of the pain endured by casualties before...
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Modern urban areas are characterized by high population density, complex transportation networks, and limited road capacity, which complicate evacuation during emergencies and increase the risk of congestion, panic, and casualties. A pressing scientific and practical challenge is the development of formalized mathemati...
L. Demeubayeva, T. Mazakov, Sholpan Jomartova et al.· Bulletin of the National Eng...· 0 citations
In the critical domain of emergency response, rapid building evacuation and rescue are often hindered by complex layouts and dynamic hazards such as fire spread, toxic smoke, structural instability, and unpredictable occupant behaviour. To address the challenge of optimizing rescue sweep strategies, this paper establis...
Qihao Chen· Journal of Frontiers in Tech...· 0 citations
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A bi-objective two-stage stochastic optimization model that jointly determines permanent facility hardening and scenario-dependent evacuation decisions and moderate movement along the Pareto frontier can substantially reduce disruption impacts at limited additional expected cost is developed.
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By implementing a proactive reserve scheduling mechanism, distribution networks (DNs) can optimize emergency resource deployment to improve fault recovery resilience. To address the limitations of existing pre-disaster preparation strategies that only consider limited resources, this paper proposes a proactive scheduli...
