@inproceedings{861,
  author = {Saviz Moghtadernejad and Bryan Adey and J{\"u}rgen Hackl},
  title = {Determination of the Post-disaster Optimal Restoration Intervention Programs for Transportation Infrastructure},
  abstract = {<p>The resilience of the transportation networks to an extreme event can be determined from the level of the service loss, and from the overall time and costs of restoring the networks to their original state. Resultingly, the selection of an optimal post-disaster intervention program can significantly contribute to increasing the resilience of the networks to extreme events. However, the determination of an optimal restoration intervention program is not a trivial task, especially when dealing with large networks. This paper proposes a mathematical model to determine the optimal restoration program for transportation networks, that minimizes the weighted sum of the direct and indirect consequences over the period between the occurrence of the disruptive event and the time the restoration work is complete. This model can be used for real-world networks considering various constraints on available budget and resources.</p>
},
  year = {2020},
  journal = {Proceedings of the Joint International Resilience Conference 2020},
  language = {en},
}