A Multi-level Relational Risk Assessment Model for Secure E-Government Projects

2011 ◽  
pp. 153-181
Author(s):  
Dionysis Kefallinos ◽  
Maria A. Lambrou ◽  
Efstathios D. Sykas
Keyword(s):  
Risk Assessment ◽  
Assessment Tool ◽  
Assessment Model ◽  
Wide Range ◽  
Technical Risk ◽  
Government Project ◽  
Risk Areas ◽  
Multi Level ◽  
Relational Risk ◽  
Secure Implementation

In this chapter, the authors propose a model for a risk assessment tool directed towards and tailored specifically for e-government projects. The authors’ goal is to cover the particular threats pertinent to the e-government project context and provide an interface between the broader philosophy of IT governance frameworks and the technical risk assessment methodologies, thus aiding in the successful and secure implementation and operation of e-government infrastructures. The model incorporates a wide range of applicable risk areas, grouped into eleven levels, as well as seven accompanying dimensions, assembled into a checklist-like matrix, along with an application algorithm and associated indices, which an evaluator can use to calculate risk for one or for multiple interacting projects.

A Multi-Level Relational Risk Assessment Model for Secure E-Government Projects

2012 ◽  
pp. 390-418
Author(s):  
Dionysis Kefallinos ◽  
Maria A. Lambrou ◽  
Efstathios D. Sykas
Keyword(s):  
Risk Assessment ◽  
Assessment Tool ◽  
Assessment Model ◽  
Wide Range ◽  
Technical Risk ◽  
Government Project ◽  
Risk Areas ◽  
Multi Level ◽  
Relational Risk ◽  
Secure Implementation

In this chapter, the authors propose a model for a risk assessment tool directed towards and tailored specifically for e-government projects. The authors’ goal is to cover the particular threats pertinent to the e-government project context and provide an interface between the broader philosophy of IT governance frameworks and the technical risk assessment methodologies, thus aiding in the successful and secure implementation and operation of e-government infrastructures. The model incorporates a wide range of applicable risk areas, grouped into eleven levels, as well as seven accompanying dimensions, assembled into a checklist-like matrix, along with an application algorithm and associated indices, which an evaluator can use to calculate risk for one or for multiple interacting projects.

scholarly journals An Alternative Risk Assessment Model of Urban Waterlogging: A Case Study of Ningbo City

2021 ◽  
Vol 13 (2) ◽  
pp. 826
Author(s):  
Meiling Zhou ◽  
Xiuli Feng ◽  
Kaikai Liu ◽  
Chi Zhang ◽  
Lijian Xie ◽  
...  
Keyword(s):  
Risk Assessment ◽  
High Risk ◽  
Assessment Model ◽  
Risk Assessments ◽  
Risk Assessment Model ◽  
Risk Area ◽  
The North ◽  
Coastal Cities ◽  
Risk Areas ◽  
The City

Influenced by climate change, extreme weather events occur frequently, and bring huge impacts to urban areas, including urban waterlogging. Conducting risk assessments of urban waterlogging is a critical step to diagnose problems, improve infrastructure and achieve sustainable development facing extreme weathers. This study takes Ningbo, a typical coastal city in the Yangtze River Delta, as an example to conduct a risk assessment of urban waterlogging with high-resolution remote sensing images and high-precision digital elevation models to further analyze the spatial distribution characteristics of waterlogging risk. Results indicate that waterlogging risk in the city proper of Ningbo is mainly low risk, accounting for 36.9%. The higher-risk and medium-risk areas have the same proportions, accounting for 18.7%. They are followed by the lower-risk and high-risk areas, accounting for 15.5% and 9.6%, respectively. In terms of space, waterlogging risk in the city proper of Ningbo is high in the south and low in the north. The high-risk area is mainly located to the west of Jiangdong district and the middle of Haishu district. The low-risk area is mainly distributed in the north of Jiangbei district. These results are consistent with the historical situation of waterlogging in Ningbo, which prove the effectiveness of the risk assessment model and provide an important reference for the government to prevent and mitigate waterlogging. The optimized risk assessment model is also of importance for waterlogging risk assessments in coastal cities. Based on this model, the waterlogging risk of coastal cities can be quickly assessed, combining with local characteristics, which will help improve the city’s capability of responding to waterlogging disasters and reduce socio-economic loss.

Technical Risk Assessment of Large-Scale Construction Project Based on Triangle Whitening Weight Function

2014 ◽  
Vol 989-994 ◽  
pp. 5294-5299
Author(s):  
Wei Ma
Keyword(s):  
Risk Assessment ◽  
Weight Function ◽  
Large Scale ◽  
Construction Project ◽  
Scale Construction ◽  
Assessment Model ◽  
Grey Theory ◽  
Risk Assessment Model ◽  
Technical Risk

Technical risk assessment model of large-scale construction project has been established by using triangle whitening weight function of grey theory against the problems of technical risk assessment of large-scale construction project. In the end, through example verification, this model is approved to be feasible and have certain value of reference and utilization in similar problems.

scholarly journals On the Risk Assessment of Terrorist Attacks Coupled with Multi-Source Factors

2018 ◽  
Vol 7 (9) ◽  
pp. 354 ◽  
Author(s):  
Xun Zhang ◽  
Min Jin ◽  
Jingying Fu ◽  
Mengmeng Hao ◽  
Chongchong Yu ◽  
...  
Keyword(s):  
Risk Assessment ◽  
High Risk ◽  
Southeast Asia ◽  
The Philippines ◽  
Assessment Model ◽  
Terrorist Attacks ◽  
Recommendation Algorithm ◽  
Spatial Risk ◽  
Risk Areas ◽  
F Measure

Terrorism has wreaked havoc on today’s society and people. The discovery of the regularity of terrorist attacks is of great significance to the global counterterrorism strategy. In this study, we improve the traditional location recommendation algorithm coupled with multi-source factors and spatial characteristics. We used the data of terrorist attacks in Southeast Asia from 1970 to 2016, and comprehensively considered 17 influencing factors, including socioeconomic and natural resource factors. The improved recommendation algorithm is used to build a spatial risk assessment model of terrorist attacks, and the effectiveness is tested. The model trained in this study is tested with precision, recall, and F-Measure. The results show that, when the threshold is 0.4, the precision is as high as 88%, and the F-Measure is the highest. We assess the spatial risk of the terrorist attacks in Southeast Asia through experiments. It can be seen that the southernmost part of the Indochina peninsula and the Philippines are high-risk areas and that the medium-risk and high-risk areas are mainly distributed in the coastal areas. Therefore, future anti-terrorism measures should pay more attention to these areas.

Terrestrial Ecological Risk Assessment Model of Nuozhadu Reservoir

2013 ◽  
Vol 448-453 ◽  
pp. 838-845
Author(s):  
Li Ping Wang ◽  
Hai Tao Huang ◽  
Jia Shi ◽  
Yan Ke Zhang ◽  
Pu Zhang
Keyword(s):  
Risk Assessment ◽  
Ecological Risk ◽  
Ecological Risk Assessment ◽  
Risk Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Assessment Model ◽  
Human Cognition ◽  
Fuzzy Evaluation ◽  
Large Reservoir ◽  
Multi Level

Large reservoir ecological risk assessment is an important part of ecological environmental protection and improvement. Taking Nuozhadu reservoir in Lancang river basin as an example, a multi-level risk receptor--multiple risk source evaluation index system which can describe the complicated relationship and mechanism of ecological risk is established in terms of recognizing ecological risk sources and receptors of the valley area of terrestrial ecosystems; Considering fuzziness of human cognition on ecological system, diversity and different measure standard of the risk evaluation indicators, the multi-level fuzzy comprehensive evaluation model based on RRM(Relative Risk Model) thought is constructed. Calculation results show that the ecological-risk fuzzy-evaluation score of each receptor and the overall score can be obtained, which can provide important reference for ecological environment improvement of Nuozhadu reservoir area through the comparative analysis.

Development and Implementation of a Liquid Pipeline Quantitative Risk Assessment Model

2014 ◽  
Author(s):  
Jerico Perez ◽  
David Weir ◽  
Caroline Seguin ◽  
Refaul Ferdous
Keyword(s):  
Risk Assessment ◽  
Risk Reduction ◽  
Assessment Tool ◽  
Assessment Model ◽  
Quantitative Risk Assessment ◽  
Pipeline System ◽  
Risk Assessment Model ◽  
Worst Case ◽  
Risk Appetite ◽  
Assessment Results

To the end of 2012, Enbridge Pipelines employed an in-house developed indexed or relative risk assessment algorithm to model its liquid pipeline system. Using this model, Enbridge was able to identify risk control or treatment projects (e.g. valve placement) that could mitigate identified high risk areas. A changing understanding of the threats faced by a liquid pipeline system and their consequences meant that the model changed year over year making it difficult to demonstrate risk reduction accomplished on an annual basis using a relative scoring system. As the development of risk management evolved within the company, the expectations on the model also evolved and significantly increased. For example, questions were being asked such as “what risk is acceptable and what risk is not acceptable?”, “what is the true risk of failure for a given pipe section that considers the likelihood of all threats applicable to the pipeline”, and “is enough being done to reduce these risks to acceptable levels?” To this end, starting in 2012 and continuing through to the end of 2013, Enbridge Pipelines developed a quantitative mainline risk assessment model. This tool quantifies both threat likelihood and consequence and offers advantages over the indexed risk assessment model in the following areas: • Models likely worst case (P90) rupture scenarios • Enables independent evaluation of threats and consequences in order to understand the drivers • Produces risk assessment results in uniform units for all consequence criteria and in terms of frequencies of failure for likelihood • Aggregates likelihood and consequence at varying levels of granularity • Uses the risk appetite of the organization and its quantification allows for the setting of defined high, medium, and low risk targets • Quantifies the amount of risk in dollars/year facilitating cost-benefit analyses of mitigation efforts and risk reduction activities • Grounds risk assessment results on changes in product volume-out and receptor sensitivity • Balances between complexity and utility by using enough information and data granularity to capture all factors that have a meaningful impact on risk Development and implementation of the quantitative mainline risk assessment tool has had a number of challenges and hurdles. This paper provides an overview of the approach used by Enbridge to develop its quantitative mainline risk assessment model and examines the challenges, learnings and successes that have been achieved in its implementation.

CLIMADA: an open-source climate risk assessment model. The latest developments!

2021 ◽  
Author(s):  
Chris Fairless ◽  
Chahan Kropf ◽  
David Bresch
Keyword(s):  
Risk Assessment ◽  
Open Source ◽  
Climate Adaptation ◽  
Assessment Tool ◽  
Regional Climate ◽  
Assessment Model ◽  
Exposure Model ◽  
Population Exposure ◽  
Agricultural Risk ◽  
Adaptation Measures

<p>Do you want to translate your work on extreme weather into human and economic impacts? Do you want to investigate the statistical risk from climate change to your region, country or planet? Do you need to identify vulnerable populations and find the most effective climate adaptation measures?</p><p>The CLIMADA platform (CLIMate ADAptation) is built to support these analyses. The model is an open source, globally consistent, fully probabilistic risk assessment tool. It is designed with both academics and decision-makers in mind and is used in international financial planning, regional climate adaptation projects and impact forecasting.</p><p>CLIMADA combines hazard, vulnerability and exposure data to produce risk assessments, allowing you to supply any (or none) of the data required. The model includes event data for hazards including tropical storm wind and surge, windstorms, earthquake, flood, drought, wildfire and agricultural risk, at different stages of maturity. It includes the LitPop exposure model for estimating economic and population exposure, and impact/vulnerability functions to combine them with hazards. It is suitable for case studies and climate studies.</p><p>In this session we will present the model, highlight recent additions, and discuss our work supporting users in government, industry and the third sector. We want to hear questions from potential new users and collaborators and hope to spark conversations about new data sources, improved methodologies and integrations with other workflows.</p>

scholarly journals Guidance for Health Risk Assessment at Recurrent Mass Gatherings: The Jeddah Tool Framework

2021 ◽  
pp. 1-6
Author(s):  
Kingsley L. Bieh ◽  
Anas Khan ◽  
Ahmed El-Ganainy ◽  
Badriah Alotaibi ◽  
Sujoud Ghallab ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Health Risk ◽  
Risk Reduction ◽  
Health Risk Assessment ◽  
Disaster Risk Reduction ◽  
Assessment Tool ◽  
Disaster Risk ◽  
World Health ◽  
Mass Gatherings ◽  
Wide Range

Abstract A wide range of natural and man-made hazards increases the health risks at mass gatherings (MGs). Building on the Sendai Framework for Disaster Risk Reduction 2015-2030, the World Health Organization (WHO) developed the Health Emergency and Disaster Risk Management (H-EDRM) framework to strengthen preparedness, response, and recovery from health emergencies in the communities and emergency-prone settings, such as MGs. The Jeddah tool is derived from the H-EDRM framework as an all-hazard MG risk assessment tool, which provides a benchmark for monitoring progress made in capacity strengthening over a given period for recurrent MGs. Additionally, it introduces a reputational risk assessment domain to complement vulnerability and capacity assessment matrixes. This paper describes the key elements of the Jeddah tool to improve the understanding of health risk assessment at MGs in the overarching contexts of health emergencies and disaster risk reduction, in line with international goals.

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