Accelerated Assessment of Critical Infrastructure in Aiding Recovery Efforts During Natural and Human-made Disaster


연구 분야: Infrastructure



학회: SIGSPATIAL '21: Proceedings of the 29th International Conference on Advances in Geographic Information Systems


초록

Relief and recovery from disasters (both natural and human-made) require a coordinated approach across several federal and state government agencies. In order to achieve optimal resource allocation and deployment of first responders, accurate and timely assessment of the impact and extent of destruction are the cornerstones to any recovery effort. Ideally, this knowledge should be gathered and shared within the first 0-24 hours (termed as "Acute Phase" by the U.S. CDC guideline) for informed decision-making. But achieving this poses significant challenges for the data collection and data harmonization processes, particularly when voluminous data are being generated from diverse and distributed sources during the disaster responses. To this end, this work developed a scalable and efficient workflow to dynamically collect and harmonize crowd-sourced geographic multi-modal data, and then assess critical infrastructure (CI) damaged during disaster events. We demonstrate the application of our framework with two real-world experiences in addressing post-disaster recovery efforts - for the Bahamas (Natural - due to Hurricane Dorian, 2019) and Beirut (Human-made - due to explosion caused by the ammonium nitrate stored in a warehouse, 2020). We have illustrated that a coordinated effort is needed for planning as well as for execution to achieve informed decision making.


Author Profile
Gautam Malviya Thakur

Human Dynamics Section Geospatial Science and Human Security Division Oak Ridge National Laboratory USA

Andorra
Author Profile
Kelly M Sims

Human Dynamics Section Geospatial Science and Human Security Division Oak Ridge National Laboratory USA

Andorra
Author Profile
Chantelle Rittmaier

Human Dynamics Section Geospatial Science and Human Security Division Oak Ridge National Laboratory USA

Andorra

📄 논문 정보

발행 연도 2021년
인용수 0
출판 국가 Andorra
사이트 ACM
좋아요 수 0

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