Data on predictive resilience of interdependent water and transportation infrastructures: A sociotechnical approach.

ABSTRACT: Interdependent infrastructure systems are vulnerable to the cascading effect of failures resulting from random failures and natural disasters. The data provided in this work is the processed data used for the proposed resilience assessment framework for interdependent water and transportation networks dealing with both types of failure [1]. The case study is the interconnected networks of water and transportation in Tampa, Florida. The data for the random failure is obtained from the developed algorithmic framework and the land use and social vulnerability data provided by the U.S. Census datasets. We then used a subset of this produced data to construct predictive models for the network resilience to random failures. As for the natural disaster scenario, we focused on hurricane Irma in 20

SUBMITTER: Aslani B 

PROVIDER: S-EPMC8570939 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature