Abstract
The focus of the regional resilience analysis is to promote risk mitigation and disaster management strategies that reduce the spatial extent and duration of service disruption of infrastructure subject to external stressors. Three significant challenges in regional resilience analysis are to (1) develop infrastructure component recovery models, while considering all factors affecting the recovery; (2) integrate the component recovery into a workable infrastructure recovery schedule, while considering the prevalent constraints to implement the recovery; and (3) develop a computationally manageable approach for the recovery modeling. This chapter presents a novel multi-scale approach to model the physical recovery and time-varying performance of infrastructure. In addition to facilitating the recovery modeling of large-scale infrastructure, the multi-scale approach enables developing a recovery schedule that is feasible to implement and easy to communicate. For a developed recovery schedule, the performance analysis models the recovery of disrupted services in terms of resilience metrics. The chapter illustrates the multi-scale approach through a large-scale problem for the post-disaster recovery modeling of infrastructure in Shelby County, Tennessee.
| Original language | English (US) |
|---|---|
| Title of host publication | Routledge Handbook of Sustainable and Resilient Infrastructure |
| Publisher | Taylor and Francis |
| Pages | 529-552 |
| Number of pages | 24 |
| ISBN (Electronic) | 9781351392778 |
| ISBN (Print) | 9781138306875 |
| DOIs | |
| State | Published - Jan 1 2018 |
ASJC Scopus subject areas
- Economics, Econometrics and Finance(all)
- Business, Management and Accounting(all)
- Social Sciences(all)