Complexity, Planning and Urbanism

Cities are characteristically complex. For tackling the issues of tomorrow, developing understandings and approaches are required today.

Complexity, Planning and Urbanism (CPU) develops new theoretical approaches and computational tools using a complexity science framework (systems, self-organisation, emergence, intelligence, structural change, adaptation) for the design, management, governance and understanding of future cities related to climate change, citizen participation, development strategies, resilient interventions, policy making and urban morphology.

Computational methods are used to expand the realms of static design methods and theory by enabling a temporal and dynamic process. Research activity is essential to the development of new approaches. Our research is transdisciplinary and currently spans Future Cities, Smart Cities, the Internet of Things, agile governance and cities as complex adaptive systems.

Research Themes

Complexity Theories of Cities

Adaptation, Evolution, and Emergence

Complexity Modelling

Data-driven Urban Simulation, Visualisation, and Participation

Procedural Design Science

Computational Philosophy and Procedural Design

Speculative Urban Futures

Probabilities and Projections of Future Cities

Our Work

Projects

  • SASSI: A Systems Approach to Sustainable Sanitation Challenges in China

    The overall aim of this interdisciplinary project is to enhance our understanding of the complex human-environment interactions in sanitation systems and their sustainability outcomes in rapidly developing countries. This can contribute knowledge and best practices to improve human well-being, which is the overall focus of the Sustainable Development agenda.

  • MaaS Prototype for TfGM – DEAS NetworkPlus

    This project developed a DEAS focused prototype model for Mobility-as-a-Service (MaaS) integration in Greater Manchester (GM).

  • Project Synergy

    The aim of this project is to further develop innovative technologies for connected autonomous vehicles to accelerate adoption of driverless vehicles and allied technologies in the UK. This project will introduce innovative technologies to operate connected autonomous cars in a platoon formation from Stockport directly to the arrivals terminal at Manchester Airport.

Networks

  • Data and Cities as Complex Adaptive Systems

    DACAS is an ESRC funded Strategic Network. It was part of the Urban Transformations (UT) program coordinated between 2015 and 2020 by Professor Michael Keith from the University of Oxford, showcasing research on cities. The UT portfolio included over 120 research projects that engaged with the challenges and opportunities of an increasingly urban world.

Partners