Methodologies for planning complex infrastructure under uncertainty

Summary

Infrastructure assets are typically capital intensive investments with long lifetimes - they include both single megaprojects, or resource allocation across multiple options for smaller projects. Megaprojects also have public and private stakeholders and take years to develop and build adding to their complexity/uncertainty. These investment decisions are thus intrinsically made under great uncertainty over the future planning horizon.

This Network will take an interdisciplinary approach to understanding:

  • The state-of-the-art in use of modelling support for infrastructure planning decision making, both in industry and policy practice, and in the research community;
  • Needs of the practitioner community for research and innovation on methodology;
  • Research communities which must be engaged to achieve this, and at a high level the methodologies which might have applied to the challenges elicited from the practitioner community.

A key activity of this Network will be to draw on knowledge and expertise beyond the core project team. This will be achieved through literature review; in-depth discussions with key individuals; an online survey; and two scoping workshops (the first emphasising innovation and capability needs, the second how the research community can help meet these needs).

The topic of this Network may be seen as a cross-cutting integrative activity across the DBB Framework, showing how the different DBB components may be brought together in making important planning decisions.

Funded by
The Centre for Digital Built Britain (CDBB)

Project duration
1 July 2018 - 31 December 2018

Network core team:

Dr Chris Dent (Edinburgh University & Alan Turing Institute) - PI
Dr James Hetherington (Turing Institute)
Professor Gordon Mackerron (Sussex University)
Professor Gordon Masterton (Edinburgh University)
Professor Henry Wynn (LSE)
Dr Hailiang Du and the Durham Energy Institute support team (Durham University)

 

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