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Infrastructure decision-making: opening up governance futures within techno-economic modelling

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journal contribution
posted on 2023-06-10, 00:58 authored by Katherine LovellKatherine Lovell, Jim Watson, Ralitsa HitevaRalitsa Hiteva
Techno-economic modelling is an important tool in evidence-building, futures assessment and decision-making in policy for socio-technical systems. However, critical assessment of the fit of sophisticated models into a decision-making context is often hidden or overlooked. Using the case of a national infrastructure systems model, this paper connects conceptions of infrastructure governance to techno-economic modelling assessing future infrastructure performance. Analysis of modelling input to a UK national level infrastructure policy process demonstrates the importance of governance understanding within infrastructure modelling for policy and it highlights the risks of not explicitly considering governance assumptions. Going on to pursue a more integrated approach to infrastructure modelling and governance, socio-technical researchers embedded within a model development research project are able to observe model development, analyse an early policy application, and facilitate discussions and co-development work with modellers. A methodological framework, building on recent transitions research ‘bridging’ socio-technical and techno-economic approaches, for connecting infrastructure governance understanding into techno-economic modelling analyses is presented and its use within this UK infrastructure modelling project is discussed. The integrated approach taken and the methodological framework developed are potential tools for researchers working with techno-economic models to support policy decisions; they show potential for further research on infrastructure futures.

Funding

MISTRAL: Multi-scale Infrastructure Systems Analytics; G1927; EPSRC-ENGINEERING & PHYSICAL SCIENCES RESEARCH COUNCIL; EP/N017064/1

History

Publication status

  • Published

File Version

  • Accepted version

Journal

Technological Forecasting and Social Change

ISSN

0040-1625

Publisher

Elsevier

Volume

174

Article number

a121208

Department affiliated with

  • SPRU - Science Policy Research Unit Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2021-09-15

First Open Access (FOA) Date

2023-03-25

First Compliant Deposit (FCD) Date

2021-09-15

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