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Wenying Ji

As seen in: Wiley Online Library, MDPI
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Articles

Sparse sensing to dense assessment: Incorporating spatial autocorrelation for assessing flood impacts

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By Yudi Chen, Management Nanjing, Astronautics Nanjing, Wenying Ji
| Wiley Online Library Verified
REFERENCES , , , , & (2013). Low-probability flood risk modeling for New York City. Risk Analysis, 33(5), 772–788. , & (2018). Post-disaster infrastructure recovery: Prediction of recovery rate using historical data. Reliability Engineering and System Safety, 169, 209–223. , & (2015). An innovative multi-agent search-and-rescue path planning approach. Computers and Operations Research, 53, 24–31. , & (2018). Tropical cyclone report: Hurricane Harvey. National Ocean and Atmospheric Administration.
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Leveraging Machine Learning and Simulation to Advance Disaster Preparedness Assessments through FEMA National Household Survey Data

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By Zhenlong Jiang, Yudi Chen, Ting-Yeh Yang, Wenying Ji
| MDPI
Open AccessArticle by 1, 2, 3, 4, 5 and 1,* 1 Department of Systems Engineering and Operations Research, George Mason University, Fairfax, VA 22030, USA 2 Department of Management Science and Engineering, College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China 3 College of Engineering and Computing, George Mason University, Fairfax, VA 22030, USA 4 Department of Civil, Environmental, and Infrastructure Engineering, George Mason...
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Robustness of Stakeholder Response Networks for Infrastructure System Protection

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By Yitong Li, Wenying Ji
| ascelibrary.org
Downloaded 0 times Technical Papers Abstract During disasters, maintaining the functionality of infrastructure systems requires effective and efficient stakeholder collaboration.
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