Multi-categorical Risk Assessment for Urban Critical Infrastructures

Author(s):  
Sandra König ◽  
Stefan Schauer ◽  
Stefan Rass
Risk Analysis ◽  
2018 ◽  
Vol 38 (6) ◽  
pp. 1279-1305 ◽  
Author(s):  
Benjamin Donald Oakes ◽  
Lars-Göran Mattsson ◽  
Per Näsman ◽  
Andrés Alayón Glazunov

Author(s):  
Panayiotis Kotzanikolaou ◽  
Marianthi Theoharidou ◽  
Dimitris Gritzalis

Assessing risk in information and communication infrastructures is a challenging topic due to the complexity of critical infrastructures (CIs) and of the various dependencies between such infrastructures. This chapter discusses the basic concepts of risk assessment for CIs. Moreover, it describes a recently proposed methodology for criticality assessment. The main goal of this methodology is to assess the risk of an infrastructure (or a sector of critical infrastructures), taking into account the dependencies between CIs and/or sectors. The methodology is compatible with current information systems practices. The basic characteristic of the presented methodology is that it attempts to capture both organization-oriented and society-oriented consequences of possible security events, a feature which is not always embedded in mainstream information security risk assessment methodologies.


Author(s):  
Daniela Frazão ◽  
José Sobral

BACKGROUND: Human error has been studied for large decades with special application to critical infrastructures and processes where the impact of such errors can induce severe or catastrophic consequences. In this sense it is of utmost importance to extend this type of analysis to other fields as medicine. OBJECTIVE: This study proposes a semi-quantitative human error risk assessment methodology, including the analysis of the so-called Performance Shaping Factors (PSFs), in order to contribute to health services improvement. METHODS: A questionnaire including the considered PSFs is answered in order to determine the impact of each PSF and its influence on human error. It allows performing a Human Error Risk Assessment (HERA) for both the patient (HERAp) and the quality of the service (HERAq). RESULTS: The results show the PSFs with the highest impact factor. After applying corrective measures, it is possible to observe the impact on the reduction of the risk for patient and for the quality of the service. CONCLUSIONS: The application of the methodology with the inclusion of the impact of PSFs allows minimizing or mitigating failure modes with greater risk as well as increasing patient safety and promoting a better quality of medical procedures.


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