scholarly journals Risk assessment for rail freight transport operations

2021 ◽  
Vol 23 (3) ◽  
pp. 476-488
Author(s):  
Lucyna Szaciłło ◽  
Marianna Jacyna ◽  
Emilian Szczepański ◽  
Mariusz Izdebski
Keyword(s):  
Risk Assessment ◽  
Statistical Data ◽  
Freight Transport ◽  
Assessment Process ◽  
Railway Transport ◽  
Risk Assessment Process ◽  
Rail Freight ◽  
Emergency Situations ◽  
Railway System ◽  
Risk Areas

The aim of this article is to assess the risk of performance of rail freight transport on the basis of an analysis of identified risk areas based on statistical data on the causes of accidents that occurred on the lines of railway transport in Poland. A critical review of selected scientific studies relating to the risk assessment process for identified areas of the railway system has been undertaken. Based on statistical data, the authors analysed the causes of accidents on railway lines in 2019 in Poland and determined the probability of occurrence of a given cause. In addition, the article calculates the probability of vehicle delays for different emergency situations occurring in the performance of rail freight transport operations. This enabled the authors of the article to carry out a risk assessment of freight train delays on railway lines.

scholarly journals Fields of hazards to rail freight shipment realization

2018 ◽  
Vol 19 (12) ◽  
pp. 994-997
Author(s):  
Lucyna Szaciłło
Keyword(s):  
Risk Assessment ◽  
Continuous Flow ◽  
Risk Evaluation ◽  
Assessment Process ◽  
Atmospheric Conditions ◽  
Risk Assessment Process ◽  
Rail Freight ◽  
Noticeable Increase ◽  
The Common ◽  
Infrastructure Investments

There is a noticeable increase in rail freight shipment in recent years. European Union’s transport policy, infrastructure investments and opportunities given by the New Silk Road, point to new possibilities for development in this field of transport. Commission Implementing Regulation (EU) 402/2013 of 30 April 2013 on the common method for risk evaluation and assessment and repealing Regulation (EC) No 352/2009 distinguishes six stages of proceeding in risk assessment process. Key one among them, regarding this article, is risk assessment and classification. For the cargo to safely reach recipients, conditions allowing for continuous flow of fright needs to be provided. While realizing railway fright shipment, undesirable events can occur, that disrupt the shipment process. This events can be identified on the railway tracks, in the shipment, transhipment and destination points, caused by human actions or atmospheric conditions.

A methodology for e-banking risk assessment using fuzzy logic and Bayesian network

2021 ◽  
Vol 19 (3) ◽  
pp. 101-124
Author(s):  
Ako Rita Erhovwo ◽  
Okpako Abugor Ejaita ◽  
Duke Oghorodi
Keyword(s):  
Risk Assessment ◽  
Fuzzy Logic ◽  
Bayesian Network ◽  
Operational Risk ◽  
Assessment Process ◽  
Exposure Level ◽  
Model Assessment ◽  
Assessment Methodology ◽  
Risk Assessment Process ◽  
Risk Assessment Methodology

Risk assessment methodology in general has been around for quite a while, its prominence in the E-banking field is a fairly recent phenomenon. We are at the point where risk assessments are critical to the overall function of banks. Banks are required to assess the processes underlying their operations against potential threats, vulnerabilities, and their potential impact, which helps in revealing the risk exposure level, and the residual risks. Identifying clearly a risk assessment methodology is often the first step of assessing and evaluating risk associated with an organization operation. This paper presents a risk assessment methodology for Ebanking Operational Risk. The proposed risk assessment methodology consists of four major steps: a risk model, assessment approach, analysis approach and a risk assessment process. The main tool of the proposed risk assessment methodology is the risk assessment process. The assessment process gives detailed explanation with respect to which models or techniques may be applied and how they are expressed. In this paper the risk assessment technique is built upon fuzzy logic (FL) concept and Bayesian network (BN). In fuzzy logic, an element is included with a degree of membership. Bayesian network is an inference classifier that is capable of representing conditional independencies. The Bayesian and fuzzy logic–based risk assessment process gives good predictions for risk learning and inference in the E-banking systems. Keywords: Fuzzy logic, Bayesian network, risk assessment methodology, operational risk, Ebanking

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