Abstract
The way in which risk maps are used in decision support processes for spatial planning at local scale is critical to helping decision makers in the definition of a prevention strategy to minimize risks. This paper presents a spatial decision support system that is developed to assist spatial planning by integrating the risk management component at municipal level. For the development of the RiskOTe tool, a semi-quantitative risk assessment model was used that assumes risk management to be comprehensive with respect to the type of hazard, vulnerability and risk minimization measures. In this paper, the components for the development of the spatial decision support system are identified, described and implemented using the municipality of Oeiras, in Portugal, as case study. The use of the system allowed the generation of multiple scenarios and outcomes. The results demonstrate that decision-making on the transformation of land uses by integrating risk analysis can be supported on a solid basis of information obtained from a spatial decision support system.
Highlights
Model-based Decision Support Systems (DSSs) have been used for many years and in different domains
In the domain of disaster risk reduction, Newman et al [1] states that the development and use of decision support systems is increasingly important, mainly because natural hazards are having a significant impact on communities and economies; losses due to natural disasters are expected to increase into the future; risk reduction is broadly recognized as being more effective than response and recovery and risk reduction and residual risk affect communities and the natural environment in multiple ways, with complexity and uncertainty in causal processes driving hazard impacts
It was possible to conceptually define a spatial decision support system to help spatial planning actors in aggregating risk analysis and risk governance using the components of knowledge, model management, database management, interface management and relevant stakeholders
Summary
Model-based Decision Support Systems (DSSs) have been used for many years and in different domains. The overall aim of the EU-funded research project “Applied multi Risk Mapping of Natural Hazards for Impact Assessment” (ARMONIA), was to develop a new approach to producing integrated multi-risk maps in order to achieve more effective spatial planning procedures in areas within Europe that are prone to natural disasters [18] In this context, Menoni et al [19] developed a framework and decision support tool to ensure that planning decisions are fully informed about the multiple hazards affecting particular areas of land, the vulnerability of different land uses and populations (taking account of the main social factors) and the options that are available to mitigate the risks.
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