Romano, DM; Breslin, DA; Dobson, S; (2016) Modelling Connectivity and Co-evolution: The ‘Premonition’ Study of Domestic Fire Risk Behaviours. In: Yamak, Sibel, (ed.) Proceedings of 16th European Academy of Management (EURAM) Conference, 1-3th June 2016, Paris, France. EURAM: Paris, France.

Text Breslinetal2016 v2.pdf - Accepted Version Access restricted to UCL open access staff Download (748kB)

Abstract

In this research we put forward a view of social change as a process in which behaviours coevolve within connected networks of agents. Change is therefore not viewed as an isolated event, but as part of a connected co-evolving system. An Agent-Based Modelling approach has been used to simulate changing household behaviours and associated fire risks within the Sheffield City region. By understanding how patterns of behaviour disseminate and persist in communities, this project seeks to improve the identification of areas at risk within vulnerable social groups. In addition the model will allow South Yorkshire Fire & Rescue to explore different future scenarios and plan intervention strategies to suit. The project will thus allow South Yorkshire Fire & Rescue to explore and better understand key behavioural, social and cultural factors underpinning changing fire risk behaviours over time.

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