Quantifying Directional Dependencies from Infrastructure Restoration Data
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DOI:
10.1193/013015eqs015m
Publication Date:
2015-12-02T22:46:59Z
AUTHORS (2)
ABSTRACT
Lifeline utilities and critical infrastructures are becoming increasingly interactive dependent on one another for normal operation. With a natural disaster or disruptive event, these dependencies can be studied under stressed conditions. To replicate events inform future simulations, such quantified in both magnitude direction. This paper builds recent efforts by proposing new dependency index methodology that gives importance to the direction of between coupled equally weighting multiple may realized across variety lag times. The effectiveness this is presented as case study 22 February 2011 earthquake experienced Christchurch, New Zealand. Dependencies range infrastructure couplings, which provide insight into application results requirement integration with qualitative studies accurately interdependency models.
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