1. Innovative spatial data applications for disaster risk reduction and response Abhas K. Jha Sector Manager, Transport, Urban and DRM, East Asia and the Pacific The World Bank

2. Accurate maps and spatial data are essential tools in disaster response where better information saves lives

3. Within 22 days of Typhoon Haiyan > 1,500 OpenStreetMap volunteers from 82 countries 4.2 millions of changes 448,797 buildings 34,713 roads 7,857 residential areas 4,060 rivers Before and After courtesy of Google Earth and DigitalGlobe

4. Open information being used by the governments

5. Accurate maps and spatial data are essential tools in for climate resilience and disaster risk reduction

8. Disaster Risk Management Community EngagementGIS Building Resilience with Better Decisions at the Local Level

9. Questions from Disaster Managers: “In the event of a flood, how many critical facilities are likely to be affected? “ “In the event of a volcano, how many people may need to be evacuated and many how many resources such as water shelter toilets … may be needed?” “In the event of a typhoon with storm surge which roads are likely to be flood?”

10. Questions from Disaster Managers: “In the event of a flood, how many critical facilities are likely to be affected? “ “In the event of a volcano, how many people may need to be evacuated and many how many resources such as water shelter toilets … may be needed?” “In the event of a typhoon with storm surge which roads are likely to be blocked?”

14. Questions from Disaster Managers: “In the event of a typhoon with storm surge which roads are likely to be flood?” What would a GIS specialist think: “Load vector or raster layers, Process spatial join of layer 1 on layer 2, Dissolve on attribute X in Layer 2 Render dissolve layer with binned styling”

15. Accurate maps and spatial data are essential for resilience But where does the data come from?

16. The Promise of Crowdsourcing and Participatory Mapping -- Incomplete coverage Lack of validation, assumed lack of accuracy Low capacity in government to manage participatory process

17. The Promise of Crowdsourcing and Participatory Mapping ++ Direct engagement with communities Highly localized information Focus on the poor and vulnerable

19. OpenStreetMap Results in Lubao,Pampanga Empowerment of Municipal Planning and Development Coordinators Mapping of commercial, residential and public buildings and roads

20. What about official data? … how is it best shared and accessed?

22. Applications of open data technologies that allow us to answer multi sectoral questions like: “What are the effects of flooding on public transportation in Metro Manila and where should the city prioritize mitigation measures?”

23. Abhas K. Jha @abhaskjha www.worldbank.org/eapdisasters