EGU General Assembly 2022
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

A Novel Decision Support Environment for Risk Informed Urban Planning in Tomorrow’s Cities 

John McCloskey1, Mark Pelling2, Gemma Cremen3, Carmine Galasso3, Ramesh Guragain4, and Vera Bukachi5
John McCloskey et al.
  • 1University of Edinburgh, Grant Institute, School of Geosciences, Edinburgh, United Kingdom of Great Britain – England, Scotland, Wales (
  • 2Mark Pelling, Department of Geography, Kings College London
  • 3University College London
  • 4National Society for Earthquake Technology
  • 5Kounkuey Design Initiative

This talk introduces the United Kingdom Research and Innovation (UKRI) Global Challenge Research Fund (GCRF) Urban Disaster Risk Hub, the “Tomorrow’s Cities” project. Working internationally, the ultimate goal of the Hub is to reduce disaster risk for the poor and most marginalised in tomorrow’s cities by facilitating a transition from reactive crisis management to proactive risk-informed, people-centred, and pro-poor urban planning and design. Against a backdrop of ever-increasing human populations, urbanisation, social inequality, and climate change, this ambition is critically time-sensitive.

This talk specifically discusses the development of a state-of-practice decision support environment (DSE) that advances beyond the limits of current conventional risk models by placing knowledge co-production at the heart of risk-informed decision-making. Through a democratisation of the concept of risk, we explore understandings of risk that recognise the life experiences of the poor and most marginalised social groups. The DSE explicitly incorporates these diverse understandings to enable the iterative assessment of different policies, urban plans, and interventions in terms of their disaster-related impacts on future economic, environmental, and social objectives cooperatively agreed with relevant stakeholders. These assessments are underpinned by interdisciplinary open-source tools and processes that include: state-of-the-art physics-based multi-hazard and physical vulnerability models, innovative methods for harmonising physical and social sciences, and rigorous capacity-strengthening and knowledge exchange strategies.

How to cite: McCloskey, J., Pelling, M., Cremen, G., Galasso, C., Guragain, R., and Bukachi, V.: A Novel Decision Support Environment for Risk Informed Urban Planning in Tomorrow’s Cities , EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12300,, 2022.