Shifting to a Monetized Quantitative Approach for Risk Analysis Using Property Damages

2019 ◽  
Author(s):  
Amin Ganjidoost ◽  
Karl Ivan San Luis ◽  
Craig Daly
2020 ◽  
Vol 5 (4) ◽  
pp. 551-559
Author(s):  
Suci Hariyati ◽  
Fazli Syam BZ

The purpose of this study was to determine the effect of internal control structures, governance, and financial risk analysis on the effectiveness of credit distribution to savings and loan cooperatives in Aceh Besar District. The data used in this study are primary data using a quantitative approach. This study uses purposive sampling method in determining the sample, and there are 10 cooperatives that become samples that meet the criteria.Based on the research results, it shows that the structure of internal control, governance, and financial risk analysis together has a significant effect on the effectiveness of lending. The magnitude of the influence of internal control, governance and financial risk analysis on the effectiveness of lending was 63.8%. The internal control structure has a significant effect on the effectiveness of lending. Governance does not have a significant effect on the effectiveness of lending. Financial risk analysis has no significant effect on the effectiveness of lending


Author(s):  
Jens Braband

The European Railway Agency (ERA) has the challenging task of establishing common safety targets and common safety methods throughout Europe. In this context, the harmonization of risk analysis methods is also discussed. The purpose of this paper is to present a new semi-quantitative approach for the risk analysis of technical systems and the means by which compliance with legal and regulatory requirements can be demonstrated. As a particular reference, a new German pre-standard, which lays out requirements for semi-quantitative approaches, is taken into account.


Author(s):  
Tal Ben-Gera ◽  
Jiabo He ◽  
Xiang Liu

This paper investigates the influence of rail age, annual traffic density, and inspection frequency on broken-rail-caused train derailment risk. First, we estimate the probability of a broken-rail-caused train derailment based on a sequence of stochastic processes including rail defect formation, growth, detection and the likelihood that a broken rail causes a derailment. In addition to derailment frequency, we also estimate derailment severity, which is measured by the average number of railcars derailed per train derailment, based on FRA-reportable train derailment data. The preliminary risk analysis model provides a quantitative approach to understand broken rail risk, and potentially aid in development of effective ways to mitigate derailment risk.


2010 ◽  
Vol 58 (S 01) ◽  
Author(s):  
J Schönebeck ◽  
B Reiter ◽  
O Haye ◽  
D Böhm ◽  
M Ismail ◽  
...  

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