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What can we learn about transitions for sustainability from infrastructure shocks?

Castán Broto, Vanesa; Glendinning, Stephanie; Dewberry, Emma; Walsh, Claire and Powell, Mark (2014). What can we learn about transitions for sustainability from infrastructure shocks? Technological Forecasting and Social Change, 84 pp. 186–196.

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This paper aims to explore the potential for learning from infrastructure shocks to develop strategic visions of infrastructure for the 22nd century. The paper departs from theories of systems innovation, which help understanding infrastructure transitions as socio-technical re-configurations over long periods of time. The paper presents a complementary hypothesis to those theories about the possibility to catalyze systems change during or as a result of infrastructure shocks. According to this hypothesis, this change is possible because shocks enable higher order learning about infrastructure, which is learning involving a critical evaluation of existing principles and their suitability to complex situations.

The hypothesis is examined empirically by studying the association between different types of infrastructure shock and different types of learning that emerge from those shocks using a meta-analysis of published work on infrastructure shocks. The analysis suggests that while there is considerable evidence of organizational and social learning from shocks, the context in which they occur will influence whether or not this is higher order learning. Further research is needed to develop feasible and practical ways to maximize the learning opportunities emerging from infrastructure shocks towards a transition to sustainable and resilient infrastructure.

Item Type: Journal Item
Copyright Holders: 2013 Elsevier Inc.
ISSN: 0040-1625
Project Funding Details:
Funded Project NameProject IDFunding Body
Shock (not) HorrorEP/J005657/1EPSRC (Engineering and Physical Sciences Research Council)
Keywords: infrastructure shocks; sustainability transitions; integrated infrastructure; resilience; social learning
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Engineering and Innovation
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Design and Innovation
Item ID: 37788
Depositing User: Emma Dewberry
Date Deposited: 04 Oct 2013 08:34
Last Modified: 07 Dec 2018 10:16
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