Framework for estimating cost of infrastructure adaptation to climate change

H. Lee, T. Park, H. Jeong, H. Kim

Research output: Contribution to conferencePaperpeer-review

2 Citations (Scopus)

Abstract

Recently, the effects of global climate changes have become top concerns for governments' decision making regarding infrastructure investments. Extreme weather events that exceed the capacity of existing systems have considerably increased in frequency, and the potential effects of changing trends in temperature and rainfall on infrastructure are difficult to ignore. It is essential for governments to estimate the costs and benefits of adaptation to climate change to properly assess the financial feasibility of infrastructure adaptation strategies. This paper proposes a framework for estimating the economic aspects of infrastructure adaptation to climate change. The framework is composed of three steps of implementation: establishment of alternatives for infrastructure adaptation, performance prediction of infrastructure using future climate scenarios, and asset valuation based on costs and benefits. The first step specifies target assets, their adaptability to climate change, and applicable adaptation technologies. The second step evaluates the effects of climate change on the performance of infrastructure. The last step determines the optimal adaptation strategies among various alternatives based on their net benefits. The framework reasonably incorporates future climate scenarios into the estimation processes for climate change effects and provides a basis for budget allocation for governmental infrastructure investments. The framework is expected to assist government decision makers in establishing adaptation strategies in a rational manner under uncertain future climate change.

Original languageEnglish
Pages548-554
Number of pages7
DOIs
Publication statusPublished - 2013
Event30th International Symposium on Automation and Robotics in Construction and Mining, ISARC 2013, Held in Conjunction with the 23rd World Mining Congress - Montreal, QC, Canada
Duration: 2013 Aug 112013 Aug 15

Other

Other30th International Symposium on Automation and Robotics in Construction and Mining, ISARC 2013, Held in Conjunction with the 23rd World Mining Congress
CountryCanada
CityMontreal, QC
Period13/8/1113/8/15

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Human-Computer Interaction
  • Geotechnical Engineering and Engineering Geology
  • Civil and Structural Engineering

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