RAND aids long-range transportation planning by employing Decision Making under Deep Uncertainty (DMDU) and Robust Decision Making (RDM) methods, which help policymakers evaluate and prepare for a wide array of future scenarios. These approaches enable the identification of strategies that remain effective across diverse and uncertain conditions, thereby enhancing the resilience and adaptability of transportation systems.
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