Outline of State of the Art of Simulating Post-Disaster Recovery

1. Abstract
  • Overview of what’s included in paper including key results
2. Introduction
  • General discussion on post-disaster recovery
  • Why is recovery simulation necessary?
  • Summary of what’s covered in the paper including the type of recovery simulation models discussed
3. Empirically-Based Statistical Models
  • Based on regression against empirical data (discuss different approaches/techniques for regression)
  • Relevant papers
    • Peacock and Zhang, 2010
    • Wu and Lindell, 2004
    • Elliott, 2014
    • Nejat and Ghosh, 2016 (focusses on predicting decisions)
    • Nojima et al, 2001
    • Isumi and Shibuya, 1985 (Uses differential equation)
    • Liu et al, 2007 (power outage)
    • Nateghi et al, 2011(2 regression methods, 3 machine learning methods)
  • Napa Earthquake Case Study (New work by Kang, Burton, Miles)
4. Agent-Based Models
  • General discussion of agent-based models
  • General discussion of how agent-based models can be used to model recovery
  • Relevant papers
    • Nejat, 2012
      • Focusses on homeowner’s dynamic interaction
      • Multi-agent system simulation model
    • Miles and Chang (2003, 2013)
      • Conceptual model (Objects/Attributes/Behaviors/Relationships between objects), Functional model(Interaction)
    • Grinberger and Felsenstein (2014a, 2014b, 2015)
      • Similar to Prof. Miles’ work but focusses on policy effects
5. Stochastic Simulation Models
  • General discussion of stochastic simulation models
  • General discussion of how stochastic simulation models can be used to model recovery
  • Relevant papers
    • Burton et al, 2015(Time-based)
    • Iervolino and Giorgio, 2015(Markov chain)
    • Burton, 2016(Upcoming published conference paper)
    • Kozin and Zhou, 1991(Discrete state, discrete time Markov process)
    • Zhang, 1992(Markov process, lifeline restoration)
  • Napa Earthquake Case Study (New Work by Kang, Burton and Miles
6. Discrete Event Simulation Models
  • General discussion of discrete event simulation models
    • Matloff 2008
      • Activity-oriented DES(Definition/Methodology)
      • Process-oriented DES(Definition/Methodology)
    • Banks 2010(Book: Discrete Event System Simulation)
  • General discussion of how discrete event simulation models can be used to model recovery (can incorporate elements of stochastic simulation)
  • Relevant papers
    • Xu et al 2007(determine how to schedule inspection, damage assessment, and repair tasks so as to optimize the post-earthquake restoration of the electric power system)
    • Cagnan and Davidson (2004, 2006)
    • Huling and Miles (2016)
7. Network Models
  • General discussion of network models
  • General discussion of how agent-based models can be used to model recovery
  • Relevant papers
    • Cagnan and Davidson, 2004 (Simply introduces of all methods including network approach)
    • Nojima and Kameda, 1992 (Uses tree structure)
    • Hoshiya et al, 1982 (Uses network approach to simulate water supply restoration)
8. Discussion
  • Add single figure that writes the entire paper.
  • Discussion needs to include advantages and disadvantages of each method depending on the context (housing, business, lifelines etc.).
  • Discussion also needed to include the limitation of all the methods.
9. Conclusion

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