An Approximate Dynamic Programming Approach to Community Recovery Management (Extended Abstract)

by   Saeed Nozhati, et al.

The functioning of interdependent civil infrastructure systems in the aftermath of a disruptive event is critical to the performance and vitality of any modern urban community. Post-event stressors and chaotic circumstances, time limitations, and complexities in the community recovery process highlight the necessity for a comprehensive decision-making framework at the community-level for post-event recovery management. Such a framework must be able to handle large-scale scheduling and decision processes, which involve difficult control problems with large combinatorial decision spaces. This study utilizes approximate dynamic programming algorithms along with heuristics for the identification of optimal community recovery actions following the occurrence of an extreme earthquake event. The proposed approach addresses the curse of dimensionality in its analysis and management of multi-state, large-scale infrastructure systems. Furthermore, the proposed approach can consider the cur-rent recovery policies of responsible public and private entities within the community and shows how their performance might be improved. A testbed community coarsely modeled after Gilroy, California, is utilized as an illustrative example. While the illustration provides optimal policies for the Electrical Power Network serving Gilroy following a severe earthquake, preliminary work shows that the methodology is computationally well suited to other infrastructure systems and hazards.


Near-optimal planning using approximate dynamic programming to enhance post-hazard community resilience management

The lack of a comprehensive decision-making approach at the community-le...

An approximate dynamic programming approach to food security of communities following hazards

Food security can be threatened by extreme natural hazard events for hou...

A Modified Approximate Dynamic Programming Algorithm for Community-level Food Security Following Disasters

In the aftermath of an extreme natural hazard, community residents must ...

Decision Automation for Electric Power Network Recovery

Critical infrastructure systems such as electric power networks, water n...

Infrastructure Recovery Curve Estimation Using Gaussian Process Regression on Expert Elicited Data

Infrastructure recovery time estimation is critical to disaster manageme...

PS-Sim: A Framework for Scalable Simulation of Participatory Sensing Data

Emergence of smartphone and the participatory sensing (PS) paradigm have...