A Bayesian network-based risk assessment framework for the impact of climate change on infrastructure

Tao Wang, Xiaoming Wang

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationConstruction Research Congress 2016
Subtitle of host publicationOld and New Construction Technologies Converge in Historic San Juan - Proceedings of the 2016 Construction Research Congress, CRC 2016
PublisherAmerican Society of Civil Engineers
Pages1353-1361
Number of pages9
ISBN (Electronic)9780784479827
DOIs
Publication statusPublished - 2016
Externally publishedYes
EventConstruction Research Congress 2016: Old and New Construction Technologies Converge in Historic San Juan - San Juan, Puerto Rico
Duration: 31 May 20162 Jun 2016

Conference

ConferenceConstruction Research Congress 2016
Abbreviated titleCRC 2016
CountryPuerto Rico
CitySan Juan
Period31/05/162/06/16

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