This thesis demonstrated a personalised, map-based warning approach to provide effective wildfire warnings to the public. Theoretical and empirical studies were conducted to identify appropriate content, representations, and interactive design for developing a webGIS based warning tool. By providing empirically tested visual information, the proposed method has the potential to substantially improve public response to warnings. Whilst focused primarily on Australia , this design can be extended for application in other countries by accounting for local contexts. The holistic user-centred approach adopted in this research also provides systematic methodological guidance for designing effective map-based warnings for other hazards.
|Qualification||Doctor of Philosophy|
|Award date||15 Dec 2016|
|Publication status||Unpublished - 2016|