Characterizing Uncertainty in City-Wide Disaster Recovery through Geospatial Multi-Lifeline Restorat

• 作 者: Andrew Deelstra David Bristow
• 机 构: Department of Civil Engineering,University of Victoria,Victoria,BC V8P 5C2,Canada
• 出 处: 国际灾害风险科学学报（英文版）
• 发表日期: 2020年6期
• 关键词: City-wide earthquake recovery Disaster loss and impact assessment Multi-infrastr

Restoring lifeline services to an urban neigh-borhood impacted by a large disaster is critical to the recovery of the city as a whole.Since cities are comprised of many dependent lifeline systems,the pattern of the restoration of each lifeline system can have an impact on one or more others.Due to the often uncertain and complex interactions between dense lifeline systems and their indi-vidual operations at the urban scale,it is typically unclear how different patterns of restoration will impact the overall recovery of lifeline system functioning.A difficulty in addressing this problem is the siloed nature of the knowl-edge and operations of different types of lifelines.Here,a city-wide,multi-lifeline restoration model and simulation are provided to address this issue.The approach uses the Graph Model for Operational Resilience,a data-driven discrete event simulator that can model the spatial and functional cascade of hazard effects and the pattern of restoration over time.A novel case study model of the District of North Vancouver is constructed and simulated for a reference magnitude 7.3 earthquake.The model comprises municipal water and wastewater,power distri-bution,and transport systems.The model includes 1725 entities from within these sectors,connected through 6456 dependency relationships.Simulation of the model shows that water distribution and wastewater treatment systems recover more quickly and with less uncertainty than elec-tric power and road networks.Understanding this uncer-tainty will provide the opportunity to improve data collection,modeling,and collaboration with stakeholders in the future.