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Scawthorn
- 1. Emerging Trends, Best Practices and Lessons Learned in ICT-Enabled Disaster Risk Management Session 1 Discussant Charles Scawthorn, S.E. Professor (ret.), Kyoto University, Japan Disaster Risk Management in the Information Age October 8-9, 2008
- 2. Loss Estimation – foundation for all mitigation Existing NH Loss Estimation Software: may well have good technical foundations, but are not open source users can’t ‘get under the hood’, don’t trust results inflexible – can’t quickly adapt to new needs, data slow uptake are not being used not doing the job EXTREMUM
- 3. Open Source software movement Natural hazards mitigation Earthquake Wind Flood… Cost justification loss estimation
- 4. Open Risk-related Software Risk Engine E p(D H) p(H E ) HAZARD p(H E ) VULNERABILITY p(D H)
- 6. Data-related seismic risk management tasks Pre-disaster Inventory of buildings at risk Screen for potential seismic risk Prioritize risk-mitigation efforts Emergency planning Response Prioritize inspections Safety inspection, rough cost est. Recovery Manage repairs—permitting, etc. ROVER ShakeCast HAZUS ATC-20i
- 7. Windows Mobile smartphones OS similar to Windows XP Phone, camera, PIM, browser, other Windows apps Keyboard, stylus, touchscreen, bluetooth Cost ~$500; ~$200 with phone plan 4+ GB storage
- 8. ROVER ROVER (Rapid Observation of Vulnerability and Estimation of Risk)
- 9. Photo tab Use built-in smartphone camera 2 MPix+ Server adds a watermark
- 10. Soil tab A-F scale, like IBC Soft soil tends to amplify motion Server can add soil from built-in global USGS map
- 11. Scoring tab Choose possible building type Click on relevant features “ Risk score” calculated below S ≥ 2 is good S < 2 implies need for detailed evaluation
- 12. Real Time
- 13. usgs