scholarly journals An interactive web-GIS tool for risk analysis: a case study in the Fella River basin, Italy

2016 ◽  
Vol 16 (1) ◽  
pp. 85-101 ◽  
Author(s):  
Z. C. Aye ◽  
M. Jaboyedoff ◽  
M. H. Derron ◽  
C. J. van Westen ◽  
H. Y. Hussin ◽  
...  

Abstract. This paper presents a prototype of an interactive web-GIS tool for risk analysis of natural hazards, in particular for floods and landslides, based on open-source geospatial software and technologies. The aim of the presented tool is to assist the experts (risk managers) in analysing the impacts and consequences of a certain hazard event in a considered region, providing an essential input to the decision-making process in the selection of risk management strategies by responsible authorities and decision makers. This tool is based on the Boundless (OpenGeo Suite) framework and its client-side environment for prototype development, and it is one of the main modules of a web-based collaborative decision support platform in risk management. Within this platform, the users can import necessary maps and information to analyse areas at risk. Based on provided information and parameters, loss scenarios (amount of damages and number of fatalities) of a hazard event are generated on the fly and visualized interactively within the web-GIS interface of the platform. The annualized risk is calculated based on the combination of resultant loss scenarios with different return periods of the hazard event. The application of this developed prototype is demonstrated using a regional data set from one of the case study sites, Fella River of northeastern Italy, of the Marie Curie ITN CHANGES project.

2015 ◽  
Vol 3 (6) ◽  
pp. 4007-4057 ◽  
Author(s):  
Z. C. Aye ◽  
M. Jaboyedoff ◽  
M. H. Derron ◽  
C. J. van Westen ◽  
H. Y. Hussin ◽  
...  

Abstract. This paper presents a prototype of an interactive web-GIS tool for risk analysis of natural hazards, in particular for floods and landslides, based on open-source geospatial software and technologies. The aim of the presented tool is to assist the experts (risk managers) in analysing the impacts and consequences of a certain hazard event in a considered region, providing an essential input to the decision making process in the selection of risk management strategies by responsible authorities and decision makers. This tool is based on the Boundless (OpenGeo Suite) framework and its client side environment for prototype development, and it is one of the main modules of a web-based collaborative decision support platform in risk management. Within this platform, the users can import necessary maps and information to analyse areas at risk. Based on provided information and parameters, loss scenarios (amount of damages and number of fatalities) of a hazard event are generated on-the-fly and visualized interactively within the web-GIS interface of the platform. The annualized risk is calculated based on the combination of resultant loss scenarios with different return periods of the hazard event. The application of this developed prototype is demonstrated using a regional data set from one of the case study sites, Fella River of North Eastern Italy, of the Marie Curie ITN CHANGES project.


2019 ◽  
Vol 49 (12) ◽  
Author(s):  
Seyit Hayran

ABSTRACT: In this study, risk perception of wheat producers in Turkey was examined based on a case study conducted in Bitlis Province. The data set used in the study was obtained from 157 farmers randomly. Factor analysis was employed to classify risk sources and management strategies, and then multiple regression was used to investigate the relationship between farmers perceptions and some characteristic. Results of this study have shown that economic-based risks were perceived more strongly by farmers. Farmers’ also used more than one risk management strategy to minimize the impact of the risks they face. So, in order to ensure social and economic sustainability and predictability in wheat production and wheat market, the government should be considered preventive policy instruments and interventions to prevent fluctuations in input and output prices.


Author(s):  
Tobias Götze ◽  
Marc Gürtler

AbstractReinsurance and CAT bonds are two alternative risk management instruments used by insurance companies. Insurers should be indifferent between the two instruments in a perfect capital market. However, the theoretical literature suggests that insured risk characteristics and market imperfections may influence the effectiveness and efficiency of reinsurance relative to CAT bonds. CAT bonds may add value to insurers’ risk management strategies and may therefore substitute for reinsurance. Our study is the first to empirically analyse if and under what circumstances CAT bonds can substitute for traditional reinsurance. Our analysis of a comprehensive data set comprising U.S. P&C insurers’ financial statements and CAT bond use shows that insurance companies’ choice of risk management instruments is not arbitrary. We find that the added value of CAT bonds mainly stems from non-indemnity bonds and reveal that (non-indemnity) CAT bonds are valuable under high reinsurer default risk, low basis risk and in high-risk layers.


1993 ◽  
Vol 115 (3) ◽  
pp. 179-190 ◽  
Author(s):  
M. E. Pate´-Cornell

A probabilistic risk analysis (PRA) framework is used to identify the accident sequence of the 1988 Piper Alpha accident. This framework is extended to include the human decisions and actions that have influenced the occurrences of these basic events, and their organizational roots. The results of this preliminary analysis allow identification of a wide spectrum of possible risk reduction measures, ranging from classical technical solutions such as addition of redundancies, to organizational improvements such as a change in the maintenance procedures. An explicit PRA model is then developed to assess the benefits of some of these safety measures based, first, on the original contribution to the overall risk of the failure modes that these measures are designed to avert, and second, on the degree to which they can reduce the probabilities of these failure modes. PRA can then be used as a management tool, allowing optimization of risk management strategies based both on the qualitative information about causalities provided by the accident, and on the quantitative information about failure probabilities updated in the light of new events. It is shown how PRA can be used to assess, for example, the cost-effectiveness of safety measures designed to decrease the probability of severe fire damage onboard platforms similar to Piper Alpha.


Author(s):  
Tzu Yang Loh ◽  
Mario P. Brito ◽  
Neil Bose ◽  
Jingjing Xu ◽  
Natalia Nikolova ◽  
...  

The maturing of autonomous technology has fostered a rapid expansion in the use of Autonomous Underwater Vehicles (AUVs). To prevent the loss of AUVs during deployments, existing risk analysis approaches tend to focus on technicalities, historical data and experts’ opinion for probability quantification. However, data may not always be available and the complex interrelationships between risk factors are often neglected due to uncertainties. To overcome these shortfalls, a hybrid fuzzy system dynamics risk analysis (FuSDRA) is proposed. The approach utilises the strengths while overcoming limitations of both system dynamics and fuzzy set theory. Presented as a three-step iterative framework, the approach was applied on a case study to examine the impact of crew operating experience on the risk of AUV loss. Results showed not only that initial experience of the team affects the risk of loss, but any loss of experience in earlier stages of the AUV program have a lesser impact as compared to later stages. A series of risk control policies were recommended based on the results. The case study demonstrated how the FuSDRA approach can be applied to inform human resource and risk management strategies, or broader application within the AUV domain and other complex technological systems.


2009 ◽  
Vol 8 (5) ◽  
pp. 949-958 ◽  
Author(s):  
Handan Akcaoz . ◽  
Hatice Kizilay . ◽  
Orhan Ozcatalbas .

2011 ◽  
Vol 16 (6) ◽  
pp. 428-445 ◽  
Author(s):  
Booi Hon Kam ◽  
Ling Chen ◽  
Richard Wilding

PurposeThis paper aims to examine how Chinese apparel retailers manage their production outsourcing risks and why they elect to manage those risks in a particular manner.Design/methodology/approachThe investigation used the case study approach to explore factors driving two Chinese apparel retailers operating in different market environments to manage their production outsourcing risks.FindingsThe selection of production outsourcing risk management strategies hinges on what apparel retailers view as the most important value their products provide to customers. Product values were linked to specific product characteristics as well as the market environment in which the apparel retailers operated. The retailer that regarded product quality as a key value driver was found to place emphasis on manufacturer selection and use of a formal contract for process control. The retailer that viewed newness and variety as a value driver opted to cultivate a strong, committed business relationship based on Guanxi to achieve speed‐to‐market.Research limitations/implicationsAs a case study research, the findings of this study have their limitations in generalisability. Given that one of the retailers did not invoke Guanxi to cultivate a long‐term business relationship with its outsourced manufacturers, the role of Guanxi in outsourcing risk management in China deserves further exploration, as businesses in China become more globalised.Practical implications/valueThis study grounds mainstream outsourcing strategy literature on operational practice through case studies. It highlights the influence of both product characteristics and market environment in dictating the choice of outsourcing risk management strategies in apparel manufacturing.Originality/valueThe study views outsourcing risk management from the perspective of minimizing outsourcing failures, rather than achieving outsourcing success. It reveals that risk management behavior of apparel retailers was linked to the notion of value protection, which varied according to what they considered as their principal product value drivers.


2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Linlin Xie ◽  
Ting Han ◽  
Martin Skitmore

Megaprojects usually involve an alarmingly large number of stakeholders that form a complicated social network and lead to significant relationship risks to client/owners. Therefore, it is necessary to carry out megaproject risk management from a sociological point of view. Based on a case study of the Zhuhai Port, which connects Hong Kong, Zhuhai, and Macao, this paper analyzes the relationship risk between stakeholders and corresponding risk management strategies using social network analysis (SNA). The findings show that stakeholders with a lower density and higher centrality in the network have comparatively a lower relationship risk. Different stakeholders should choose appropriate partners to improve their centrality, reduce the network density to increase their ability to access resources, and enhance their influence and independence in the network. For megaproject client/owners, identifying and monitoring key stakeholders is the key to effective relationship risk governance. The findings provide a number of practical implications for relationship risk management and further demonstrate the importance of stakeholder teamwork, particularly for megaprojects.


Sign in / Sign up

Export Citation Format

Share Document