@article {bnh-3845,
	title = {Reducing the risk of house loss due to wildfires},
	journal = {Environmental Modelling and Software},
	volume = {67},
	year = {2015},
	month = {05/2015},
	pages = {12-25},
	chapter = {12},
	abstract = {<p><span>Wildfires will continue to reach people and property regardless of management effort in the landscape. House-based strategies are therefore required to complement the landscape strategies in order to reduce the extent of house loss. Here we use a Bayesian Network approach to quantify the relative influence of preventative and suppressive management strategies on the probability of house loss in Australia. Community education had a limited effect on the extent to which residents prepared their property hence a limited effect on the reduction in risk of house loss, however hypothetically improving property preparedness did reduce the risk of house loss. Increasing expenditure on suppression resources resulted in a greater reduction in the risk of loss than preparedness. This increase had an interaction effect with increasing the distance between vegetation and the houses. The extent to which any one action can be implemented is limited by social, environmental and economic factors.</span></p>},
	doi = {10.1016/j.envsoft.2014.12.020},
	url = {http://www.sciencedirect.com/science/article/pii/S1364815214003776?via\%3Dihub},
	author = {Trent Penman and Ann E. Nicholson and Ross Bradstock and Luke Collins and Sandra H. Penman and Owen Price}
}
