Understanding the construction of metropolitan areas through data analytics: the case of GMCA

Project Details

Lead Supervisor: Dr Nuno Pinto (University of Manchester)
Contact Email: nuno.pinto@manchester.ac.uk
Partners: University of Manchester
External Partners: GMCA Greater Manchester Combined Authority

Start Date: October 2018

Metropolitan areas are functional structures that arise from the interactions of multiple agents, from institutions to business and individual citizens. These interactions occur under a set of different agendas that combine the agents’ behaviours with the policy frameworks in which they operate. Greater Manchester Combined Authority (GMCA) is a new institutional setting with devolved powers and political representation that is the result of decades of combined policies and actions by the ten local authorities and responds to the observable functional economic and social structures within Greater Manchester.

The research aims to develop tools for simulating the functioning of Greater Manchester in terms of its main institutional and economical agents, exploring the complex system and the way the GMCA can respond and deliver policy to promote development. The research will use datasets from multiple domains and levels of analyses, e.g. the institutional framework, the economic development, accessibility and demography. These datasets will be used by an agent-based simulation environment that will incorporate complexity theory concepts to describe and simulate the behaviour of the agents in negotiating their agendas in the context of the design of development policies or infrastructure programmes and also in the construction of the GMCA institutional context.

New data analytics methods will be developed to explore the existing datasets and to create a combined dataset that can be used by the simulation model. These models are expected to be used in policy design and evaluation. Both the input datasets and outputs generated by the models should be designed to be easily integrated in a common data infrastructure that facilitates the use of both data and models in planning processes.

Reference number MN21

Apply online here

Get in touch with the supervisor

Tags: , , ,