Shedding light on avoided disasters: measuring the invisible benefits of disaster risk management using probabilistic counterfactual analysis

• Main Authors: Rabonza, Maricar, Lallemant, David, Lin, Yolanda C., Tadepalli, Sanjana, Wagenaar, Dennis, Nguyen, Michele, Choong, Jeanette, Liu, Celine Jia Ni, Sarica, Gizem Mestav, Widawati, Bernadeti Ausie Miranda, Balbi, Mariano, Khan, Feroz, Loos, Sabine, Lim, Tian Ning
• Other Authors: Asian School of the Environment
• Format: Article
• Language: English
• Published: 2021
• Subjects: Social sciences::Geography::Natural disasters; Engineering::Computer science and engineering::Mathematics of computing::Probability and statistics; Disaster Risk Management; Counterfactual Analysis; Probability Analysis
• Online Access: https://hdl.handle.net/10356/153502; https://www.undrr.org/publication/shedding-light-avoided-disasters-measuring-invisible-benefits-disaster-risk-reduction
• Institution: Nanyang Technological University

The goal of Disaster Risk Management (DRM) is to ensure that society continues to function, thrive, and recover quickly despite shocks arising from natural or human actions; to ensure, in short, that natural hazards do not become disasters. Success in the world of DRM means 'nothing happens,�...