Abstract: This paper introduces a constrained linear optimization model to help guide expenditure of government funds for regional hurricane risk management and to provide insight into some of the complexities involved in designing ...

Abstract: Much of the project scheduling literature treats task durations as deterministic. In reality, however, task durations are subject to considerable uncertainty, and that uncertainty can be influenced by the resources assigned. ...

Abstract: This paper introduces the multihazard optimization-based probabilistic scenario (multihazard OPS) method to create an ensemble of multihazard scenarios that can be used for efficient evaluation of spatially distributed ...

Abstract: When critical infrastructure system services are disrupted, households typically respond by reducing, delaying, or relocating their demand (e.g., delaying laundry), or augmenting supply (e.g., using a generator). ...

Abstract: In February 2021, a winter storm brought snow, ice, and freezing temperatures, which caused severe interruptions in the electric power and water supply systems in Texas and surrounding areas. In this paper, we use survey ...

Abstract: This paper introduces a computational framework that can be used to identify hurricane risk management solutions based on the operation of the system as a whole. The framework represents interactions among multiple types ...

Abstract: Insurance and retrofit are potentially effective but underutilized mechanisms to manage natural disaster risk (Mileti 1999). This project uses a North Carolina case study of residential buildings in North Carolina that ...

Abstract: This paper presents an optimization model and solution procedure for planning investments in gas distribution networks for residential customers. The situation can be considered a capital budgeting problem under uncertainty. ...

Abstract: This paper introduces an approach to evaluate the performance of a previously