Bayesian networks (BNs) have been increasingly applied to support management and decision-making processes under conditions of environmental variability and uncertainty, providing logical and holistic reasoning in complex systems since they succinctly and effectively translate causal assertions...

Bayesian networks (BNs) have been increasingly applied to support management and decision-making processes under conditions of environmental variability and uncertainty, providing logical and holistic reasoning in complex systems since they succinctly and effectively translate causal assertions...

Bayesian networks (BNs) have been increasingly applied to support management and decision-making processes under conditions of environmental variability and uncertainty, providing logical and holistic reasoning in complex systems since they succinctly and effectively translate causal assertions...

We propose an integrated methodology to evaluate the four possible socio-economic costs namely direct/indirect and tangible/intangible costs due to adverse consequences of flood. Although SERRA is based on full monetization of costs and benefits of risk, it can allow for other methods of...

A conceptual framework integrating different disciplines has been developed to comprehensively evaluate the benefits of risk prevention. Three main innovations are proposed with regards to the state of the art: (1) to include the social capacities of reducing risk, (2) to go beyond the...

As the impacts of climate change are expected to be increasingly disruptive, a growing share of the economic literature moved to modelling approaches to address the interconnectedness of social, economic, and environmental issues. Among them, System Dynamics (SD) stands out as a well-established...