Dilini Rajapaksha, Kacper Sokol, Jeffrey Chan, Flora Salim, Mukesh Prasad, & Mahendra Samarawickrama. (2023). Analysing Donors’ Behaviour in Non-profit Organisations for Disaster Resilience. In V. L. Thomas J. Huggins (Ed.), Proceedings of the ISCRAM Asia Pacific Conference 2022 (pp. 258–267). Palmerston North, New Zealand: Massey Unversity.
Abstract: With the advancement and proliferation of technology, non-profit organisations have embraced social media platforms to improve their operational capabilities through brand advocacy, among many other strategies. The effect of such social media campaigns on these institutions, however, remains largely underexplored, especially during disaster periods. This work introduces and applies a quantitative investigative framework to understand how social media influence the behaviour of donors and their usage of these platforms throughout (natural) disasters. More specifically, we explore how on-line engagement – as captured by Facebook interactions and Google search trends – corresponds to the donors’ behaviour during the catastrophic 2019–2020 Australian bushfire season. To discover this relationship, we analyse the record of donations made to the Australian Red Cross throughout this period. Our exploratory study reveals that social media campaigns are effective in encouraging on-line donations made via a dedicated website. We also compare this mode of giving to more regular, direct deposit gifting.
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Maël Arnaud, Carole Adam, & Julie Dugdale. (2017). The role of cognitive biases in reactions to bushfires. In eds Aurélie Montarnal Matthieu Lauras Chihab Hanachi F. B. Tina Comes (Ed.), Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management (pp. 85–96). Albi, France: Iscram.
Abstract: Human behaviour is influenced by many psychological factors such as emotions, whose role is already widely recognised. Another important factor, and all the more so during disasters where time pressure and stress constrain reasoning, are cognitive biases. In this paper, we present a short overview of the literature on cognitive biases and show how some of these biases are relevant in a particular disaster, the 2009 bushfires in the South-East of Australia. We provide a preliminary formalisation of these cognitive biases in BDI (beliefs, desires, intentions) agents, with the goal of integrating such agents into agent-based models to get more realistic behaviour. We argue that taking such “irrational” behaviours into account in simulation is crucial in order to produce valid results that can be used by emergency managers to better understand the behaviour of the population in future bushfires.
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Lyuba Mancheva, Adam Carole, & Dugdale Julie. (2019). Multi-agent geospatial simulation of human interactions and behaviour in bushfires. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: Understanding human behaviour and interactions in risk situations may help to improve crisis management
strategies in order to avoid the worst scenarios. In this paper we present a geospatial agent-based model and
simulation of human behaviour in bushfires. We have modelled the social interactions between different actors
involved in bushfires such as firefighter, police, emergency centre managers and civilians. We use the Belief,
Desire and Intention (BDI) architecture to model realistic human behaviour, and the FIPA-ACL standard to
model the communications. We use geospatial data to represent the environment in a realistic way. We show
how the model has been implemented and how we have unified the communications model and the BDI
architecture. Finally, we compare the processing time of two implementations of our model representing a 2D
simple and a 3D GIS environment.
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