Logo image
Predicting delay in residents’ decisions on defending v. evacuating through antecedents of decision avoidance
Journal article   Peer reviewed

Predicting delay in residents’ decisions on defending v. evacuating through antecedents of decision avoidance

I.M. McNeill, P.D. Dunlop, T.C. Skinner and D.L. Morrison
International Journal of Wildland Fire, Vol.24(2), pp.153-161
2015
url
Link to Published Version *Subscription may be requiredView
url
Free to Read *No subscription requiredView

Abstract

In the event of a wildfire, Australian residents of wildfire-prone areas have a choice to defend their home or evacuate early. However, rather than deciding on and preparing for one of these fire-responses ahead of time, most residents delay deciding on defending v. evacuating (e.g. they wait and see instead). Recent research has shown that delaying this decision is associated with reduced levels of preparedness for both responses and on the day of a fire, an increased risk to life and property. The current study empirically examined what predicts this decision delay regarding one’s fire-response by measuring two personality traits and several decision-related factors. A longitudinal survey study of residents of multiple wildfire-prone areas in Western Australia showed that the strongest predictor of delaying their decision to defend v. evacuate was a lack of difference in perceived values of defending v. evacuating. These findings have important implications for the design of interventions to reduce the risks associated with such delay. For one, agencies could utilise residents’ value base to reduce decision delay. Alternatively, they could focus on the formation of proper contingency plans and stress the necessity to prepare well for both defending and evacuating.

Details

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

Source: InCites

Metrics

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Citation topics
1 Clinical & Life Sciences
1.154 Assisted Ventilation
1.154.360 Procalcitonin
Web Of Science research areas
Veterinary Sciences
ESI research areas
Plant & Animal Science
Logo image