Indexing

Abstract: Multimodal transportation networks constitute critical infrastructure systems facing increasing vulnerability to large-scale disruptions from natural disasters, infrastructure failures, and cascading breakdowns. This paper presents a comprehensive examination of dynamic resilience optimization approaches for multimodal transportation networks under extreme disruption scenarios. The study synthesizes recent advances in mathematical modeling, optimization algorithms, and resilience quantification frameworks enabling integrated recovery strategies across interconnected transportation modes. Key methodological approaches include column-and-row generation heuristics, entropy-weighted TOPSIS decision frameworks, simulated annealing algorithms, and network science-based recovery sequencing. Analysis reveals that integrated multimodal recovery strategies significantly outperform mode-specific sequential approaches, reducing passenger travel time by up to 40% and improving network functionality restoration by 22-45%. The paper identifies critical research gaps in real-time adaptive optimization, cross-modal coordination mechanisms, and scalability challenges for metropolitan-scale networks. Findings demonstrate that resilience-based optimization frameworks incorporating temporal dynamics, resource constraints, and multi-objective criteria provide superior performance compared to traditional restoration approaches. This synthesis contributes to advancing theoretical foundations and practical implementation strategies for enhancing transportation system resilience.

Keywords: multimodal transportation networks, resilience optimization, disruption management, network recovery.

Title: Dynamic Resilience Optimization in Multimodal Transportation Networks under Large-Scale Disruptions

Author: Oghenerunor Angel Ederewhevbe

International Journal of Recent Research in Civil and Mechanical Engineering (IJRRCME)

ISSN 2393-8471

Vol. 13, Issue 1, April 2026 - September 2026

Page No: 1-9

Paper Publications

Website: www.paperpublications.org

Published date: 20-May-2026