Inspired by the same modeling and mathematical laws used to predict the spread of pandemics, researchers at Texas A&M University have created a model to accurately forecast the spread and recession process of floodwaters in urban road networks. With this new approach, researchers have created a simple and powerful mathematical approach to a complex problem.
Download the table below > Human factors
|Conceptual compilation of the results collected in 2018 2019 during Fire-in workshops about Human factors|
|I. HIGH FLOW OF RESPONSE IN HOSTILE ENVIRONMENT||II. HIGH IMPACT, LOW FREQUENCY EMERGENCIES|
III. MULTI AGENCY / MULTI-LEADERSHIP
|IV. HIGH LEVEL OF UNCERTAINTY|
|Use technology to assess risks and|
minimize responders engagement
Forecast and simulate complex scenarios
|Technological tools to|
support data sharing
|Get a clear|
picture of the risk
Subgroups and specific characteristics.
Train tolerance to frustration boosting
1. Responders and Policy makers: