Robust post-disaster route restoration
Or Spectrum, 2020•Springer
Route restoration is considered to be a task of foremost priority in disaster relief. In this
paper, we propose a robust optimization approach for post-disaster route restoration under
uncertain restoration times. We present a novel decision rule based on restoration time
ordering that yields optimal restoration sequencing and propose conditions for complexity
reduction in the model and prove probability bounds on the satisfaction of these conditions.
We implement our models in a realistic study of the 2015 Gorkha earthquake in Nepal.
paper, we propose a robust optimization approach for post-disaster route restoration under
uncertain restoration times. We present a novel decision rule based on restoration time
ordering that yields optimal restoration sequencing and propose conditions for complexity
reduction in the model and prove probability bounds on the satisfaction of these conditions.
We implement our models in a realistic study of the 2015 Gorkha earthquake in Nepal.
Abstract
Route restoration is considered to be a task of foremost priority in disaster relief. In this paper, we propose a robust optimization approach for post-disaster route restoration under uncertain restoration times. We present a novel decision rule based on restoration time ordering that yields optimal restoration sequencing and propose conditions for complexity reduction in the model and prove probability bounds on the satisfaction of these conditions. We implement our models in a realistic study of the 2015 Gorkha earthquake in Nepal.
Springer
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