@article {bnh-3916,
	title = {Review of literature on decision support systems for natural hazard risk reduction: current status and future research directions},
	journal = {Environmental Modelling \& Software},
	volume = {96},
	year = {2017},
	month = {10/2017},
	pages = {378-409},
	chapter = {378},
	abstract = {<p><span>Natural hazard risk is largely projected to increase in the future, placing growing responsibility on decision makers to proactively reduce risk. Consequently, decision support systems (DSSs) for natural hazard risk reduction (NHRR) are becoming increasingly important. In order to provide directions for future research in this growing area, a comprehensive classification system for the review of NHRR-DSSs is introduced, including scoping, problem formulation, the analysis framework, user and organisational interaction with the system, user engagement, monitoring and evaluation. A review of 101 papers based on this classification system indicates that most effort has been placed on identifying areas of risk and assessing economic consequences resulting from direct losses. However, less effort has been placed on testing risk-reduction options and considering future changes to risk. Furthermore, there was limited evidence within the reviewed papers on the success of DSSs in practice and whether stakeholders participated in DSS development and use.</span></p>},
	doi = {10.1016/j.envsoft.2017.06.042},
	url = {http://www.sciencedirect.com/science/article/pii/S1364815216311239},
	author = {Jeffrey Newman and Holger Maier and Graeme Riddell and Aaron Zecchin and James Daniell and Andreas Schafer and Hedwig van Delden and Bijan Khazai and Michael O{\textquoteright}Flaherty and Charles Newland}
}
