Quantitatively Representing Nonlinear Disaster Recovery
提出一种定量刻画灾后恢复过程的新技术，能更准确地表示非线性恢复行为，支持比较不同恢复方案，并以纽约市飓风桑迪后的电力恢复为例展示应用。
ABSTRACT This article provides a new technique for quantitatively characterizing the progress of recovery operations in the aftermath of a disaster event. The approach extends previous research on measuring dynamic, or adaptive, disaster resilience by developing a robust approach for characterizing nonlinear disaster recovery. In doing so, it enables a more accurate mathematical representation of different categories of recovery behavior and provides support for a much broader application of existing theory. Because the new approach inherits the ability to compare the relative behavior of multiple scenarios simultaneously, it also can serve as the basis for analytically comparing the expected performance of different plans for recovery operations. Practical application of the technique is demonstrated and discussed in the context of recovering electrical power after Hurricane Sandy struck the New York metropolitan area.