arXiv (OAI Expanded)
open access
Assessing transport resilience to heavy rainfall: An integrated modelling framework with metrics
Road passenger transport faces acute disruption risks from flash flooding from heavy rainfall. To capture system complexity and dynamics for assessing its flood resilience, this study (a) proposes performance metrics to quantify disruption impacts from physical, operational, environmental, social, a
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- ResiliFlow: An Open Transport World Model for Infrastructure Perception and Disaster Resilience#659266
- ResiliFlow: An Open Transport World Model for Infrastructure Perception and Disaster Resilience#657130
- Uncertainty Analysis in Multi‐Sector Systems: Considerations for Risk Analysis, Projection, and Planning for Complex Systems#1175314
- Risk evaluation and analysis of the hydrological response of the Barranco de la Muerte (Zaragoza) during flash floods using numerical simulation#171103
- Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps#1050836
Record · ID 1123372
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive