With the changing external environment, infrastructure construction projects are facing extreme disasters with increasing frequency. To effectively prevent, respond to, and adapt to extreme disaster risks and achieve success in infrastructure construction projects, it has become an industry consensus to improve emergency resilience. From a multidisciplinary perspective, with emergency management and resilience as the basic theoretical support, this study constructs an emergency resilience evaluation indicator system for infrastructure construction projects under extreme disasters based on the pressure state response adaptation model. The analytic hierarchy process and fuzzy comprehensive evaluation method were used to link qualitative and quantitative analysis, and an evaluation approach was proposed for emergency resilience of infrastructure construction projects under extreme disasters. Moreover, the emergency resilience evaluation approach was validated using a mega railroad construction project in China. The evaluation results can provide a targeted reference for improving the emergency resilience of infrastructure construction projects and reducing the risk of extreme disasters.
机构:
NASA Ames Res Ctr, Intelligent Syst Div HX5 LLC, Moffett Field, CA 94035 USANASA Ames Res Ctr, Intelligent Syst Div HX5 LLC, Moffett Field, CA 94035 USA
Andrade, Sequoia R.
Hulse, Daniel E.
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机构:
NASA Ames Res Ctr, Intelligent Syst Div, Moffett Field, CA 94035 USANASA Ames Res Ctr, Intelligent Syst Div HX5 LLC, Moffett Field, CA 94035 USA
机构:
NASA Ames Res Ctr, Intelligent Syst Div HX5 LLC, Moffett Field, CA 94035 USANASA Ames Res Ctr, Intelligent Syst Div HX5 LLC, Moffett Field, CA 94035 USA
Andrade, Sequoia R.
Hulse, Daniel E.
论文数: 0引用数: 0
h-index: 0
机构:
NASA Ames Res Ctr, Intelligent Syst Div, Moffett Field, CA 94035 USANASA Ames Res Ctr, Intelligent Syst Div HX5 LLC, Moffett Field, CA 94035 USA