A Conceptual Framework of Predictive Analytics Solution for Urban Flood Pattern Occurrences in Kuala Lumpur

Abstract

Urban flood is a global issue. As the capital city of Malaysia, Kuala Lumpur is one of the city in the world, where a series of occurrences of urban flood have been recorded over the past years. Since the era of Big Data, the possibility to analyse complex data coming from heterogeneous sources to predict and do flood forecasting has been given a different perspective and hope for another way to minimize the impact of flood, especially in urban area. Big Data Analytics (BDA) is one of the key enabler technologies in Malaysia National Policy Revolution Industry 4.0(4iR), hence, urban flood prediction can provide greater value to the Malaysian Government in order to create sustainable development environment for the Malaysian Citizen.