We will develop a world-class science platform relevant to political decision-makers responsible for housing, transport, employment and urban development in the world's biggest mega-city region, the Pearl River Delta Greater Bay Area. This platform integrates work on inequality indicators and predicting future land use and transport developed in western Europe in London and the Randstad with related work in Shenzhen and Guangzhou, producing a system that will use state-of-the-art simulation models, big data from routine transport, and new ways of using information technology for participatory governance. We argue that such a platform is essential for the very largest cities which are qualitatively different from smaller cities. The platform developed here would be a world first. The 21st century will be dominated by very large urban agglomerations, qualitatively different from those big cities that our contemporary analytical understanding and models of governance are able to handle. The growth of these mega-city regions is heavily influenced by the fusion of existing cities as well as by rapid continental scale migration. This growth is generating severe problems of social segregation, connectivity, mobility, and income inequalities that require new and powerful methods of analytical understanding such as those being developed using real-time 'big' data sources and new information technologies. We propose to develop the platform for prediction and urban governance using the Pearl River Delta 'Greater Bay Area' mega-city region as a demonstrator, bringing sustainability indicators and simulation models from the Greater London and urban Holland (the Randstad) regions to inform the development of an urban data and simulation platform relevant to designing and testing scenarios for new modes of transport and the alleviation of socio-economic inequalities in the Bay Area. These problems, we believe, will be key to mega-city regions during the rest of this century. The project will: (1) integrate already developed Land Use Transportation Interaction (LUTI) models for London and the Randstad with ongoing cellular development and transport models for the Greater Bay Area, (2) develop new indicators for measuring spatial efficiency and equity, (3) develop analytics to inform innovative policy analysis and governance, and (4) demonstrate these tools in association with planning agencies and government across the region. CASA (The Centre for Advanced Spatial Analysis) in University College London (UCL) will coordinate and lead the project and the consortium of seven partners will be based on the GIS group at Birkbeck University of London (BBK), the Geocomputation group at King's College London (KCL), the School of Business and Economics, Vrije Universiteit Amsterdam (VUA), the Geomatics Department and Smart Cities Institute at Shenzhen University (SZU), the Shenzhen Institute of Research and Innovation in the The University of Hong Kong (HKU-SIRI) at Shenzhen, and the Department of Geography at Sun Yat-sen University (SYSU).