Sustainable mobility and equality in megacity regions: patterns, mechanisms and governance

Project: Research

Project Details

Description

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 a 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 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.
AcronymSIMETRI
StatusFinished
Effective start/end date1/05/1930/04/23

Collaborative partners

  • Vrije Universiteit Amsterdam
  • University College London (UCL) (lead)
  • Birkbeck University of London
  • King's College London
  • Shenzhen University
  • Shenzhen Institute of Research and Innovation, The University of Hong Kong
  • Sun Yat-Sen University

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