A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
A Bayesian Network-Based Risk Assessment Framework for the Impact of Climate Change on Infrastructure
In the last few decades, global warming and climate change have had great impact on infrastructures. Increasingly frequent extreme weather conditions, such as heat wave, severe cold, floods, and earthquakes, significantly change the construction and operation process of infrastructures. Huge social and economic lost raises the awareness to address and alleviate possible risks resulted from climate change. Proper assessment approach is needed to appropriately evaluate the added risks from climate change. This research discusses the features of climate change risk assessment, and Bayesian Networks method is proven to be an effective tool to construct the assessment model due to its features. This paper proposes to develop a Bayesian Networks-based risk assessment framework to evaluate the impact of climate change on the infrastructures. The risk assessment steps are presented using a case study of high speed railway operation.
A Bayesian Network-Based Risk Assessment Framework for the Impact of Climate Change on Infrastructure
In the last few decades, global warming and climate change have had great impact on infrastructures. Increasingly frequent extreme weather conditions, such as heat wave, severe cold, floods, and earthquakes, significantly change the construction and operation process of infrastructures. Huge social and economic lost raises the awareness to address and alleviate possible risks resulted from climate change. Proper assessment approach is needed to appropriately evaluate the added risks from climate change. This research discusses the features of climate change risk assessment, and Bayesian Networks method is proven to be an effective tool to construct the assessment model due to its features. This paper proposes to develop a Bayesian Networks-based risk assessment framework to evaluate the impact of climate change on the infrastructures. The risk assessment steps are presented using a case study of high speed railway operation.
A Bayesian Network-Based Risk Assessment Framework for the Impact of Climate Change on Infrastructure
Wang, Tao (author) / Wang, Xiaoming (author)
Construction Research Congress 2016 ; 2016 ; San Juan, Puerto Rico
Construction Research Congress 2016 ; 1353-1361
2016-05-24
Conference paper
Electronic Resource
English
A GIS-based framework for high-level climate change risk assessment of critical infrastructure
| DOAJ | 2020
Climate Change Risk Assessment Approaches for Water Infrastructure Planning
| British Library Conference Proceedings | 2012
A Bayesian Network Framework for Post-Earthquake Infrastructure System Performance Assessment
| British Library Conference Proceedings | 2009
Risk-based quantification of the impact of climate change on storm water infrastructure
| Taylor & Francis Verlag | 2018
Climate change, risk and infrastructure policy-making
British Library Online Contents | 2009