scholarly journals Disclosure risk assessment in statistical data protection

2004 ◽  
Vol 164-165 ◽  
pp. 285-293 ◽  
Author(s):  
Josep Domingo-Ferrer ◽  
Vicenç Torra
2017 ◽  
Author(s):  
Jidong Wu ◽  
Xu Wang ◽  
Elco Koks

Abstract. Exposure is an integral part of any natural disaster risk assessment. As one of the consequences of natural disasters, damage to buildings is one of the most important concerns. As such, estimates of the building stock and the values at risk can assist natural disaster risk management, including determining the damage extent and severity. Unfortunately, only little information about building asset value is readily available in most countries (especially its spatial distributions) including in China, given that the statistical data on building floor area (BFA) is collected by administrative unities in China. In order to bridge the gap between aggregated census statistical buildings floor-area data to geo-coded building asset value data, this article introduces a methodology for a city-scale building asset value mapping using Shanghai as an example. It consists of a census BFA disaggregation (downscaling) by means of a building footprint map extracted from high-resolution remote sensing data and LandScan population density data, and a financial appraisal of building asset values. A validation with statistical data confirms the feasibility of the modelled building storey. The example of the use of the developed building asset value map in exposure assessment of a flood scenario of Shanghai demonstrated that the dataset offers immense analytical flexibility for flood risk assessment. The method used in this paper is transferable to be applied in other cities of China for building asset value mapping.


2021 ◽  
Vol 49 (2) ◽  
Author(s):  
Federico Camerlenghi ◽  
Stefano Favaro ◽  
Zacharie Naulet ◽  
Francesca Panero

2017 ◽  
Vol 5 ◽  
pp. 1253-1258
Author(s):  
Venelin Tsankov Makakov ◽  
Rositsa Todorova Velichkova ◽  
Iskra Sashova Simova ◽  
Detelin Ganchev Marko

Floods continue to be the most economically devastating natural disaster in the world. Worldwide, there are a lot of laws and regulations addressing this problem, as well as different models and approaches developed for flooding risk assessment at different stages of urban planning. The aim of this work is to review the existing measures for prevention of floods that threaten the security of the human population, flora and fauna. The study focuses on the necessary measures which must be implemented to tackle the problem, and early warning of population in emergency and disaster situations in order to reduce damage from floods. Existing statistical data is reviewed and analyzed and, as a consequence, recommendations are proposed.


2002 ◽  
Vol 29 (5) ◽  
pp. 659-665 ◽  
Author(s):  
Christopher D. Webster ◽  
Stephen J. Hucker ◽  
Hy Bloom

Much energy has been expended over recent years in debating the relative merits of actuarial versus clinical approaches to violence risk prediction. Although it has gradually become apparent that scores based on more or less static factors obtainable from the record do indeed associate with outcome violence over years of follow-up, there is no reason to suppose that, at least potentially, dynamic variables do not hold as much or more promise when it comes to projections over weeks or months. Clinicians involved in release decision-making might wish to consider the following, in order of importance: (a) the legal framework within which the decision is being made, (b) the thoroughness with which scientific methods have been applied to the particular case at issue, (c) the precision of the individualized statement of violence risk being offered, (d) the steps which could be taken to reduce that risk, and (e) if available, the individual's violence risk assessment score in relation to already amassed pertinent statistical data.


Author(s):  
Antonio de Paula Pedrosa ◽  
José Cristiano Pereira ◽  
Marcelo Póvoas ◽  
Davi da Fonseca Vieira Junior Marinato ◽  
Matheus Bastos de Almeida Bastos ◽  
...  

Entropy ◽  
2019 ◽  
Vol 21 (3) ◽  
pp. 269 ◽  
Author(s):  
Pengyu Chen

The entropy-weighting method (EWM) and variation coefficient method (VCM) are two typical diversity-based weighting methods, which are widely used in risk assessment and decision-making for natural hazards. However, for the attributes with a specific range of values (RV), the weights calculated by EWM and VCM (abbreviated as WE and WV) may be irrational. To solve this problem, a new indicator representing the dipartite degree is proposed, which is called the coefficient of dipartite degree (CDD), and the corresponding weighting method is called the dipartite coefficient method (DCM). Firstly, based on a large amount of statistical data, a comparison between the EWM and VCM is carried out. It is found that there is a strong correlation between the weights calculated by the EWM and VCM (abbreviated as WE and WV); however, in some cases the difference between WE and WV is big. Especially when the diversity of attributes is high, WE may be much larger than WV. Then, a comparison of the DCM, EWM and VCM is carried out based on two case studies. The results indicate that DCM is preferred for determining the weights of the attributes with a specific RV, and if the values of attributes are large enough, the EWM and VCM are both available. The EWM is more suitable for distinguishing the alternatives, but prudence is required when the diversity of an attribute is high. Finally, the applications of the diversity-based weighting method in natural hazards are discussed.


Dependability ◽  
2018 ◽  
Vol 18 (4) ◽  
pp. 28-35 ◽  
Author(s):  
Yu. P. Pokhabov

Aim. Calculations are an integral part of the development of any complex technical object. Normally, they are subdivided into the calculations to confirm product operability (kinematic, electrical, thermal, strength, hydraulic and pneumatic systems analysis, etc.) and calculations to confirm its dependability (calculation of reliability, longevity, maintainability, storability and other indicators). As it is understood and provided in statutory documents, dependability calculation involves procedures of identification of an object’s dependability indicators using methods based on their calculation using reference information on the object’s components dependability, on the dependability of analog objects, on the properties of the materials and other information available at the time of calculation. However, in the case of development of unique highly vital systems, obtaining statistical data for dependability calculation is impossible due to two conflicting conditions, i.e. the limited number of produced objects and the requirement of high accuracy of the input information. Nevertheless, in the author’s opinion dependability calculations must be performed. The only question is how to calculate the dependability and what such calculation should mean.Methods. In the classic dependability theory, the conventional understanding of probability of no-failure is the frequency of failures in time, yet for unique highly vital systems the failure rate must tend to zero over the entire period of operation (preferably, there should be no failures at all). For this reason the concept of “failure” in the context of unique highly vital systems should probably be interpreted not as an event, i.e. any fact, which as a result of experience can occur or not occur, but as possible risk, i.e. an undesirable situation or circumstance that is characterized by the probability of occurrence and potentially negative consequences. Then, an event in the form of a real or potential failure in operation can be associated with a risk in the form of probability of failure with negative consequences, which in terms of the consequences is equally unacceptable with regard to unique highly vital systems. In this case dependability calculation can be reasonably substituted with risk assessment, a process that encompasses risk identification, risk analysis and comparative risk assessment. Thus, risk assessment enables the achievement of the target dependability directly by substantiating the stability of manifestation of a specific product’s properties and not indirectly through undependability caused by failures of analog products.Results. The paper shows the procedure of risk assessment for unique highly vital systems. Using the example of a mechanical system with actuated parts represented by a spacecraft single-section pivoted rod the risk assessment procedures are shown. The feasibility of risk assessment with the use of design engineering analysis of dependability is demonstrated.Conclusions. It is shown that the absence of statistical data on the dependability of analogs of unique highly vital systems does not prevent dependability calculation in the form of risk assessment. Moreover, the results of such calculations can be a source and guidelines for adopting design and process engineering solutions in the development of products with target dependability indicators. However, legalizing the method of such calculations requires the modifications of the technical rules and regulations to allow for dependability calculation by other means than with the use of statistical data on the failures of analogs.


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