Risk-informed knowledge-based design for road infrastructure in an extreme environment

作者：

Highlights：

• A synthesis framework for multi-hazard risk visualization and examination is illustrated.

• A knowledge extraction model is proposed based on the noisy-BN structures.

• A tail risk examination procedure for extreme disaster scenarios is proposed.

• In extreme environments, the use of risk mitigation measures for a single type ofdisaster event may increase another disaster risk.

摘要

•A synthesis framework for multi-hazard risk visualization and examination is illustrated.•A knowledge extraction model is proposed based on the noisy-BN structures.•A tail risk examination procedure for extreme disaster scenarios is proposed.•In extreme environments, the use of risk mitigation measures for a single type ofdisaster event may increase another disaster risk.

论文关键词：Risk-based design,Knowledge extraction,Multi-hazard risk,Road infrastructure,Extreme environment

论文评审过程：Received 14 May 2020, Revised 31 August 2020, Accepted 1 January 2021, Available online 7 January 2021, Version of Record 8 February 2021.

论文官网地址：https://doi.org/10.1016/j.knosys.2021.106741