Higher-Order Network Representations and Modeling Methods for Transportation Resilience

Editors

Description

This special issue focuses on the development and application of higher-order network representations and advanced modeling methods to enhance our understanding of transportation resilience. Traditional transportation network models often fail to capture the complex, multi-way interactions and higher-order dependencies that characterize modern transportation systems. This special issue invites contributions that leverage higher-order network approaches, such as hypergraphs and simplicial complexes, to better represent the intricate relationships between transportation components and improve resilience analysis and management.

We welcome papers that present novel theoretical frameworks, empirical studies, computational methods, and practical applications of higher-order network representations in transportation contexts. Contributions may address how these advanced representations can help identify vulnerabilities, enhance system robustness, and support decision-making for more resilient transportation infrastructure.

Potential topics

• Higher-order network representations (e.g., hypergraphs, simplicial complexes) for transportation systems
• Modeling methods that capture complex interactions and dependencies in transportation networks
• Applications of higher-order networks to transportation resilience
• Resilience assessment and enhancement strategies using advanced network representations
• Interdependencies between transportation and other critical infrastructure networks
• Temporal and dynamic aspects of higher-order transportation networks
• Data collection and empirical studies on higher-order structures in transportation systems
• Computational methods and algorithms for analyzing higher-order transportation networks