California, June 10: Facebook has introduced disaster maps feature for providing critical information during natural disasters. The website will offer location density maps, movement maps and safety check maps that will help aid search and rescue efforts. Facebook will share this information with UNICEF, Red Cross and Red Crescent Societies and the World Food Programme.
Facebook`s Disaster maps that use aggregated, de-identified Facebook data to help organizations address the critical gap in information they often face when responding to natural disasters. Many of these organizations worked with us to identify what data would be most helpful and how it could be put to action in the moments following a disaster.
Based on trusted organizations’ feedback we are providing multiple types of maps during disaster response efforts, which will include aggregated location information people have chosen to share with Facebook, said social networking giant.
Public Policy Research Manager of Facebook, Molly Jackman said, we believe that our platform is a valuable source of information that can help response organizations serve people more efficiently and effectively. Ultimately, we hope this data helps communities have the information they need to recover and rebuild if disaster strikes.
Location density maps show where people are located before, during and after a disaster. We can compare this information to historical records, like population estimates based on satellite images. Comparing these data sets can help response organizations understand areas impacted by a natural disaster.
Movement maps illustrate patterns of movement between different neighborhoods or cities over a period of several hours. By understanding these patterns, response organizations can better predict where resources will be needed, gain insight into patterns of evacuation, or predict where traffic will be most congested.
Safety Check maps are based on where our community uses Safety Check to notify their friends and family that they are safe during a disaster. We are using this de-identified data in aggregate to show where more or fewer people check in safe, which may help organizations understand where people are most vulnerable and where help is needed.