Document Type



Master of Science (MS)


Engineering Management

First Advisor's Name

Shabnam Rezapour

First Advisor's Committee Title

Committee chair

Second Advisor's Name

Shih-ming (Ted) Lee

Second Advisor's Committee Title

Committee member

Third Advisor's Name

Mohammadhadi Amini

Third Advisor's Committee Title

Committee member


Road network restoration, Disaster response, Online optimization, Interdependent operations

Date of Defense



The goal of this thesis is to study two barriers of efficient road network restoration, namely, the lack of debris information and the lack of coordination among the restoration operations. We develop an integrative online optimization model with a model-based data diffusion component to coordinate three restoration-interdependent operations in the disaster response phases such as damage assessment, road recovery, and relief distribution. The model developed for the damage assessment operation controls the debris data diffusion speed in the integrative framework. This data is periodically shared with an online model developed to prioritize the recovery process for blocked roads. Road prioritization is done in a way to make the highest acceleration in the relief distribution operation. The integrative framework is tested on the road network of Miami-Dade and its performance is compared with an online heuristic benchmark mimicking the performance of the Federal Emergency Management Agency.





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