Review of Empirical Quantitative Data Use in Lifeline Infrastructure Restoration Modeling

Author:

Martell Matthew1ORCID,Miles Scott B.2,Choe Youngjun3ORCID

Affiliation:

1. Ph.D. Student, Dept. of Industrial and Systems Engineering, Univ. of Washington, Seattle, WA 98195. ORCID: .

2. Affiliate Associate Professor, Dept. of Human Centered Design and Engineering, Univ. of Washington, Seattle, TX 77840.

3. Assistant Professor, Dept. of Industrial and Systems Engineering, Univ. of Washington, Seattle, WA 98195 (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Social Sciences,General Environmental Science,Civil and Structural Engineering

Reference115 articles.

1. ATC (Applied Technology Council). 2016. “Critical assessment of lifeline system performance: Understanding societal needs in disaster recovery.” Accessed October 15 2020. https://nvlpubs.nist.gov/nistpubs/gcr/2016/NIST.GCR.16-917-39.pdf.

2. Post-disaster infrastructure recovery: Prediction of recovery rate using historical data

3. Proportional hazards models of infrastructure system recovery

4. Assessing uncertainty in extreme events: Applications to risk-based decision making in interdependent infrastructure sectors

5. Research Objects: Towards Exchange and Reuse of Digital Knowledge

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