Abstract
Purpose
Understanding and predicting the behaviours of households within a community is a key concern for fire services as they plan to deliver effective and efficient public services. In this paper, an agent-based modelling approach is used to deepen understandings of changing patterns of behaviour within a community. The paper aims to discuss this issue.
Design/methodology/approach
This “Premonition” model draws on historical data of fire incidents and community interventions (e.g. home safety checks, fire safety campaigns, etc.) collated by South Yorkshire Fire and Rescue, UK, to unpack patterns of changing household behaviours within the region.
Findings
Findings from simulations carried out using the Premonition model, show that by targeting close-knit groups of connected households, the effectiveness of preventative interventions and utilisation of associated resources is enhanced. Furthermore, by repeating these interventions with the same households over time, risk factors within the wider area are further reduced.
Originality/value
The study thus shows that annual repeat visits to fewer and more targeted high-risk postcodes increase the overall reduction in risk within an area, when compared with a scattered coverage approach using one-off (i.e. not repeat) household visits within a postcode.
Subject
Management Science and Operations Research,Safety Research
Reference43 articles.
1. Modeling human decisions in coupled human and natural systems: review of agent-based models;Ecological Modelling,2012
2. Bain, G., Lyons, M. and Young, A. (2002), “The Bain report: the future of the fire service: reducing risk, saving lives”, Office of the Deputy Prime Minister, London.
3. Interpreting futures through the multi-level co-evolution of organizational practices;Futures,2011
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