Title: Abuja Mobile Big Data Analytics Initiatives
Location: Abuja
Categories: None
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Population: None | HDI: 0,0 | Annual budget: None | Expenditure per capita: None | Source of the socio-economic indicators: None
Abuja

Date Published: 30 Avril 2018 08:22



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igeria is currently the No 8 in the World in terms of mobile connections with 154 million active mobile subscribers, generating enormous amounts of data in the mobile networks - data that can be put to use for the development of the country's communities. Mobile location data is the data exhaust left over when mobile subscribers connect to mobile networks. Each event on the network is located within the coverage area of an antenna – holding information about the time and location of the user event. There can be hundreds of these location events per subscriber per day. In Estonia, mobile phone data has been used for over 10 years for various use cases – for population, commuting, tourism, and other statistics. The use of mobile phone data is supported by international organisations like UNSD, ITU, OECD, GSMA, among others.Cities authorities (local governments) throughout Nigeria lack verifiable data to function efficiently. In the same vein, the presence of improved data could be a catalyst for social and economic growth as individuals and governments alike, stand to gain from new products and services developed from its further application in key sectors such as public security, health, education, tourism, to mention a few. By processing existing data generated by mobile phone subscribers, this project will address the above challenges facing Abuja city administrators by producing population and mobility. Even more important to the economy of the city, the spin off effect in terms of new jobs and businesses will lead to a reduction in existing poverty and inequality levels. Mobile phone location data is the first method that allows for measurements of de facto population – day-time and dynamic population counts. De facto population statistics allows governments, municipalities, urban and transportation planners, and many other users to answer the questions like: how many people are in the location at particular time, compare de facto population of different locations, what is the breakdown of these people, their home area, etc

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