Using passive anonymous mobile positioning data & aggregation analytics to enhance tool-sets for flood relief agencies

Abstract

After a natural flood disaster, relief agencies need to know where influenced individuals are located, what things are required, and who is protected. This data is incredibly tough and often difficult to get through traditional data gathering strategies [1] in an opportune way. This study can give bits of knowledge in near-real time to help relief agencies to facilitate their work and fill pivotal holes in information amid disasters. Utilizing mobile positioning data and aggregation data analytics we can design a better solution for relief agencies with the goal that they could plan the activities better. This study explains about the data analytics of Location, displacement and population density of the affected area with comparison to its historical data of few weeks that can predict good quality results and tools to handle the response phase of flood disaster. This investigation clarifies the advancement of Cellular Network Coverage, Power, Displacement, and Safety check diagramsbased upon data aggregation analytics on Mobile positioning data of the cellular phone we carry. This study encourages agencies to address the critical gap in information they frequently face when reacting to cataclysmic events. Study graphs give data about where populaces are found, how they are travelling, and where they are feeling themselves safe amid a cataclysmic event. We can impart these accumulated bits of knowledge to relief agencies so that they have the data they need to help communities recuperate and revamp if debacle strikes. Likewise this will also help to assist them in satisfying the necessities of migrating, food, shelter, electricity, water and other fundamental needs of the people in question.