Risk Management Platform Research Articles

Research on high-rise building risk identification and safety risk factor analysis

High-rise building is the trend of the future construction industry and the symbol of the continuous development of urbanization in China. However, safety accidents often occur during the construction of high-rise buildings, which bring people property losses, and sometimes even endanger the safety of life. Therefore, in order to effectively reduce the construction safety accident rate and improve the level of risk management, the construction of high-rise building safety risk focus on and research. This paper first analyzes the construction characteristics of high-rise buildings and accident types. According to the accident cause theory and hazard identification method, the major hazard sources in high-rise building construction are identified. Finally, this paper analyzes the construction of high-rise building risk factors. This paper can provide a theoretical basis for the construction of high-rise building safety risk assessment system, and provide a scientific and reliable risk management platform for the relevant units, so as to improve the safety awareness and risk management level of construction personnel.

Architecture and Development Framework for a Web-Based Risk Assessment and Management Platform Developed on WordPress to Address Opioid Overdose.

The number of overdose-related fatalities continues to reach historic levels across Canada, despite ongoing efforts by authorities. To reduce mortality, a clinical trajectory ranging from preventative measures to crisis intervention, skill training to treatment, and risk assessment to risk management needs to be supported. The web-based Risk Assessment and Management Platform (RAMP) was developed to realize this concept and to empower people who use drugs through an integrated tool that allows them to better understand and manage their risk of overdose. This paper outlines the architecture and development of RAMP, which is built on the WordPress platform. WordPress components are mapped onto a 3-tier architecture that consists of presentation, application, and database layers. The architecture facilitates the development of a modular software that includes several features that are independent in functionality but interact with each other in an integrated platform. The relatively low coupling and high coherence of the features may reduce the cost of maintenance and increase flexibility of future developments. RAMP's architecture comprises a user interface, conceptual framework, and backend layers. The RAMP front end effectively uses some of the WordPress' features such as HTML5, CSS, and JavaScript to create a mobile, friendly, and scalable user interface. The RAMP backend uses several standard and custom WordPress plug-ins to support risk assessment and monitoring, with the goal of mitigating the impacts and eliminating risks together. A rule-based decision support system has been hard-coded to suggest relevant modules and goals to complement each user's lifestyle and goals based on their risk assessment. Finally, the backend uses the MySQL database management system and communicates with the RAMP framework layer via the data access layer to facilitate a timely and secure handling of information. Overall, RAMP is a modular system developed to identify and manage the risk of opioid overdose in the population of people who use drugs. Its modular design uses the WordPress architecture to efficiently communicate between layers and provide a base for external plug-ins. There is potential for the current system to adopt and address other related fields such as suicide, anxiety, and trauma. Broader implementation will support this concept and lead to the next level of functionality.

Interface Design for Cybersecurity Risk Quantification with Monte Carlo Simulation

This paper explores Zscaler Risk360, an innovative cybersecurity risk management platform that quantifies cyber risks financially, using Monte Carlo Simulation. Risk360 stands out by converting complex cybersecurity data into financial risk metrics, offering organizations a clear understanding of their cyber vulnerabilities in monetary terms. This approach facilitates informed decision-making, resource optimization, and effective stakeholder communication. The paper briefly discusses the platform’s methodology, including risk score calculation and financial impact analysis, and notes its reliance on data quality and adaptability to new threats as challenges. It concludes with potential future enhancements, such as AI and ML integration, underscoring Risk360’s role in evolving cybersecurity risk management

Unified Analytics Platform for Compliance, Risk Management and Route Optimization in Logistics

Unified Analytics Platform for Compliance, Risk Management and Route Optimization in Logistics

Self-Healing Electronics for Prognostic Monitoring of Methylated Circulating Tumor DNAs.

Methylated circulating DNAs (ctDNAs) have recently been reported as a promising biomarker for early cancer diagnostics, but limited tools are currently available for continuous and dynamic profiling of ctDNAs and their methylation levels, especially when such assays need to be conducted in point-of-care (POC) scenarios. Here, a self-healing bioelectronic patch (iMethy) is developed that combines transdermal interstitial fluid (ISF) extraction and field effect transistor-based (FET-based) biosensing for dynamic monitoring of methylated ctDNAs as a prognostic approach for cancer risk management. The projection micro-stereolithography-based 3D patterning of an Eutectic Gallium-Indium (EGaIn) circuit with an unprecedented 10µm resolution enables the construction of self-healing EGaIn microfluidic circuits that remain conductive under 100% strain and self-healing under severe destruction. In combination with continuous transdermal ISF sampling of methylated ctDNAs, iMethy can detect ctDNAs as low as 10-16 m in cellular models and is capable of phenotypic analysis of tumor growth in rodent animals. As the first demonstration of a wearable device for real-time in vivo analysis of disease-indicative biomarkers, this proof-of-concept study well demonstrated the potential of the iMethy platform for cancer risk management based on dynamic transdermal surveillance of methylated ctDNAs via a painless and self-administrable procedure.

INTEGRATED DIGITAL PLATFORMS FOR THE DOCUMENTATION AND MANAGEMENT OF CULTURAL HERITAGE AT RISK

Abstract. Research definition of strategies and instruments for the prevention, mitigation, and management of hazards resulting from natural or man-made catastrophes is increasingly experimenting with an integrated approach to the digital documentation and visualisation of the built and cultural heritage. In actuality, recent conflicts and events, as well as the rise in natural disasters in previously unaffected regions, demonstrate the growing interest of governments, public administrations and entities, as well as academics, in the development and preservation of the digital memory of man-made landscapes. However, the management of recent catastrophic events allowed for the development of techniques that today enable the transfer of tools and processes from emergency management to routine management.Based on data from recent earthquakes in northern Italy, the current work describes some outcomes of the development of an integrated digital platform for seismic risk management that aims to integrate historical data from previous seismic events, data from existing databases, integrated digital surveys, carried out using integrated survey techniques, and semantically enhanced BIM-based models. The tool is being created as part of a transnational research cooperation initiative with thirteen partners from nations and regions along the Adriatic Sea. The program's overall goal is to improve cross-border emergency services while also raising their degree of safety and efficacy.

Integrated Maritime Platform for Real-time Disaster Risk Management in Coastal and Port Areas

The analysis of European bodies and agencies in the field of maritime safety management highlights the limited capacity to respond to potential disasters in the coastal and port areas of the Romanian state. Starting from this situation, the PLATMARISC project builds an intervention strategy based on an integrated risk management system that facilitates both multidisciplinary oceanographic research and monitoring and management of potential coastal and port disasters.

Intelligent Risk Management in Construction Projects: Systematic Literature Review

As digitalization leads to the development of the global economy and artificial intelligence stimulates technological innovation, integrating smart management methods into project management is becoming more and more critical to the development of the construction industry. As an influential branch of engineering management, intelligent risk management in the construction field will be a future research direction. Hence, the aim of this study is to find the gaps and future research trends in intelligent risk management field by Systematic Literature Review. In order to achieve these objectives, 436 articles were selected from the WOS and Scopus databases to be analyzed by CiteSpace scientometric software, and the results were classified into collaborative network analysis, co-citation analysis, and public network analysis. From the analysis, China had the highest number of publications, while the United States was the most influential country in this field. The researchers at different institutions in this field have formed research teams despite the lack of collaboration between the authors and their institutions. In co-cited references, the emphasis was on traditional methods and applications of risk analysis, with fewer citations of novel methods. According to the keywords, the clusters of keywords, and the temporal evolution of the keywords, and combining the conceptual model, 5 research gaps areas were discovered. In order to fulfill these challenges and barriers, this study found the future research trends, including: developing digital management platform for intelligent construction management and risk management; building a decision-making system for risk management to find an optimum solution; refining building digital models which would be the basis of digital management platform; identifying and category the characteristic construction risk factors by using machine learning techniques, just like text mining or knowledge graph; building an API to embed decision making system into digital management platform, and the intelligent risk management system in real-time projects to verify its possibility.

Design and Field Implementation of a Low-Cost, Open-Hardware Platform for Hydrological Monitoring

Hydrologic processes acting on catchments are complex and variable, especially in mountain basins due to their topography and specific characteristics, so runoff simulation models and water management are also complex. Nevertheless, model parameters are usually estimated on the basis of guidelines from user manuals and literature because they are not usually monitored, due to the high cost of conventional monitoring systems. Within this framework, a new and promising generation of low-cost sensors for hydrologic monitoring, logging, and transition has been developed. We aimed to design a low-cost, open-hardware platform, based on a Raspberry Pi and software written in Python 3, for measuring, recording, and wireless data transmission in hydrological monitoring contexts. Moreover, the data are linked to a runoff model, in real time, for flood prevention. Complementarily, it emphasizes the role of the calibration and validation of soil moisture, rain gauges, and water depth sensors in laboratories. It was installed in a small mountain basin. The results showed mean absolute errors of ±2.2% in soil moisture, ±1 mm in rainfall, and ±0.51 cm in water depth measurements; they highlight the potential of this platform for hydrological monitoring and flood risk management.

Information support of the system for managing technical assets in railway transportation

Aim. JSC RZD is one of the largest and most advanced companies in Russia who actively deploys and uses best practices in asset and risk management. In 2010, the railway industry initiated the project for the management of resources, risks and dependability at lifecycle stages of railway facilities (URRAN) that is currently under way. The aims of this paper are to overview the asset management tasks covered by URRAN; examine the marketed IT tools designed to address such problems; present the progress of the URRAN project in terms of process automation implemented by JSC RZD in light of the international best practice and the specificity of the Company. Methods. The preparation of this paper involved empirical and theoretical research. The authors analysed the URRAN project’s package of guidelines and regulations, public information on the globally available software products enabling asset management, as well as the program documentation of the EKP URRAN automated system. They analysed the functionalities and and engineering solutions used in the development of this automated system. The results of the EKP URRAN deployment and practical application by units and branches of JSC RZD were evaluated. Results. Asset management involves using Enterprise Asset Management Systems (EAMS) specially designed to suit the needs of specific companies or mass-produced “out-of-the-box” systems, e.g. SAP ERP, IBM MAXIMO, ABB AbilityТМ and SimeoTM that are examined in the paper. The EKP URRAN implements a single information space that is a decision support tool for the asset management system as it possesses the required regulatory and procedural resources, hardware and software assets intended for comprehensive management of assets and processes for the purpose of efficient railway service. In the future, the EKP URRAN is to become part of the Digital Platform for Risk and Traffic Safety Management deployed in JSC RZD and will comprise modules that implement dynamic predictive analytics models for the purpose of predicting undesirable events involving infrastructure and rolling stock that may disrupt traffic safety. Conclusions. Further development of the EKP URRAN will soon provide all levels of company management with an efficient tool that allows, in the context of limited resources, making substantiated managerial decisions and rational investment allocation. The EKP URRAN is an asset of JSC RZD designed to be used by the managers and specialists of various JSC RZD units. It can be implemented as a standalone IT product for the purpose of developing and deploying an asset management system in various railway companies.

On Culture for Sustainable Development: A Case for the Transdisciplinary Approach

Culture is an indispensable, but often taken for granted aspect of humanity’s existence. Broadly speaking, looking closer into cultural aspects of sustainability may provide lessons and methods useful for the pursuit of sustainability of urban areas today. This paper aims to provide a brief review of literature and a commentary to inspire this argument. First, I will discuss what transdisciplinarity means for sustainability. Then, I will provide an example of how it enabled a platform for disaster risk and cultural heritage management to address a common sustainability issue. To conclude, I share insights on how the cultural sector can contribute to sustainable development.

Manejo del riesgo en calles Don Pedro y Alfonso, Santo Domingo de Heredia

El Canal Natural Calle Don Pedro (CNCDP) ha generado erosión lateral e inundaciones. Por lo anterior, ha sido necesario proteger el fondo y las paredes del mismo y transportar más eficientemente sus aguas. Este trabajo resume las obras de mitigación realizadas, lo que incluye la identificación y descripción de las mismas. Estos valiosos aportes a la gestión local de riesgos rara vez son divulgados y valorados por lo que se considera de suma importancia difundirlos. La publicación pretende no solo dar a conocer contribuciones a la gestión de riesgos sino generar datos que alimenten una futura plataforma local de información para gestión de riesgos. La investigación requirió revisión bibliográfica, trabajo de campo y cartografía de las estructuras realizadas. Lo implementado incluye canales de concreto y muros de gaviones.

RETRACTED: Enterprise financial risk management platform based on 5 G mobile communication and embedded system

5 G technology has been applied to the financial sector. As a mortgage and supervision of sensors, network cameras, mobile device to improve the financial performance of real-time data generated by the data, bank loan credit risk management has been used. There are many risks of financial credit in modern society, the most important of which is the financial danger on mobile Internet. In the case of mobile phone payment popularity, financial risk has also greatly improved. This makes the traditional statistics and models can not fully meet the needs of the development of modern society. Bank credit risk has also improved to some extent. Therefore, there is a practical need for a more robust risk prediction model of artificial intelligence to predict the default behavior with good accuracy and competency-based big data analytics. This paper presents data mining method optimization and 5 G mobile communications and embedded systems commercial banks, based on financial risk management. It is safe to protect personal privacy, consider these requirements 5 G system design. To successfully connect to the ability to make money, telecom service providers need to ask their players to match their products and the industry. In addition to simple connections, they need a unified high-level function, such as coordination of network resources, analytical capabilities, and automated business and operations. Mob ileum provides Business Assurance Analytics to improve and develop a strong customer value proposition during 5 G technologies deployment. Experimental results show that the risk management models have fast convergence, powerful forecasting capabilities, and effectively perform screening default behavior. Simultaneously, distributed significant data clusters to achieve significantly reduce the processing time model training and testing.

The Asia Pacific Disaster Mental Health Network: Setting a Mental Health Agenda for the Region.

Addressing the psychological mechanisms and structural inequalities that underpin mental health issues is critical to recovery following disasters and pandemics. The Asia Pacific Disaster Mental Health Network was established in June 2020 in response to the current disaster climate and to foster advancements in disaster-oriented mental health research, practice and policy across the region. Supported by the World Health Organization (WHO) Thematic Platform for Health Emergency and Disaster Risk Management (Health EDRM), the network brings together leading disaster psychiatry, psychology and public health experts. Our aim is to advance policy, research and targeted translation of the evidence so that communities are better informed in preparation and response to disasters, pandemics and mass trauma. The first meetings of the network resulted in the development of a regional disaster mental health agenda focused on the current context, with five priority areas: (1) Strengthening community engagement and the integration of diverse perspectives in planning, implementing and evaluating mental health and psychosocial response in disasters; (2) Supporting and assessing the capacity of mental health systems to respond to disasters; (3) Optimising emerging technologies in mental healthcare; (4) Understanding and responding appropriately to addressing the mental health impacts of climate change; (5) Prioritising mental health and psychosocial support for high-risk groups. Consideration of these priority areas in future research, practice and policy will support nuanced and effective psychosocial initiatives for disaster-affected populations within the Asia Pacific region.

E-LAHOK: An e-Participatory Platform for Disaster Risk Reduction and Management

The study aimed to design, develop and determine the extent of user acceptability of e-LAHOK (Legazpi Alisto at Handang magbigay ng Opinyon para sa Kaligtasan), an electronic and participatory Disaster Risk Reduction and Management Platform for the City of Legazpi that fosters civic engagement and open participatory governance by soliciting Disaster Risk Reduction (DRR) strategies and incident reports from the local populations. An integrated Design Thinking (DT) and Extreme Programming (XP) framework (DT@XP) was utilized in the design and development of e-LAHOK whereas, a user’s evaluation based on ISO 9126 software quality metrics was conducted to determine the extent of user acceptability. Significant findings showed that e-LAHOK facilitated orderly solicitation and submission of DRR strategies and incident reports from the local populations by allowing the creation, management, consolidation, analysis and visualization of survey responses as well as submission, verification and acceptance of submitted incident reports for analysis. These results could serve as basis to concerned agencies in the development and implementation of DRR plans and policies to ensure preparedness and effective response by the barangays and its citizens in the event of a disaster. Further, evaluation results show that the system was rated highly acceptable in terms of functionality and usability. This concluded that the features of e-LAHOK provided an organized way of gathering inputs from the local communities of Legazpi City, fostering civic engagement and open, participatory governance. Thus, utilization of the proposed system is recommended.

A Risk Management System for Deep Excavation Based on BIM-3DGIS Framework and Optimized Grey Verhulst Model

Risk management of deep excavation is always an important issue. One of the core problems is to accurately simulate and predict the time series of displacement collected from the site sensors to monitor the risk variation. Meanwhile, the applications of building information modelling (BIM) and geographic information system (GIS) can integrate the construction structures into the surrounding environment, visualizing various information and supporting decision making for risk treatment. Therefore, this paper proposes a risk management system to monitor the risk variation for deep excavation based on optimized grey Verhulst model (GVMm), BIM-3DGIS framework and risk monitoring. The grey Verhulst model (GVM) has demonstrated well performance on saturation curve, such as displacement of deep excavation. This paper establishes the GVMm by improving GVM to predict the displacement more precisely. BIM-3DGIS framework is also built by integrating BIM and 3DGIS in the application level for the efficiency of system operation and the interaction with the risk management platform. BIM-3DGIS framework, working with the risk management platform, can monitor the risk variation of deep excavation effectively and provide visual decision-making supports. A real case of deep excavation is used as an illustrative example to verify the practicability. The results show that the prediction precision of GVMm is better than that of GVM. The application scenarios also demonstrate the effectiveness of the risk management system.

The Bowtie diagrams: Better understanding, wider spectrum, and easier communication

Background: Over the years, the fragmented traditional risk management approach was replaced by a holistic view that is commonly identified by the literature as enterprise risk management. The comprehensive and integrative characteristic of this approach requires good communication through a reliable risk management information system to improve performance as well as provide an overall cost reduction by automating routine tasks and synchronising risk management efforts across the entire organisation. So far in healthcare, no risk analysis tool has been developed to proactively analyse and visualise risks in a comprehensive way1. Methods: The suitability of the bowtie method in healthcare risk analysis, control, follow up, and communication was assessed using a qualitative literature review process. Results: Based on the fault tree and event tree analyses, and the Swiss cheese model, the bowtie method was developed as a proactive barrier-based risk management tool (Figure 1) to be used for visual risk assessment of critical events related to the core operations in many high-reliability industries1,2. Bowties were used to support medication errors investigation and analysis, provide a standard for audit, improve surgical operations and intensive care unit safety, and minimise surgical instrument retention risks. Acquiring a risk management platform has the capacity to improve performance through integrated and reliable systems1,2. Conclusion: The development and appropriate use of the bowtie method have the potential to improve process safety and achieve operational excellence, and communicate in a clear and accessible manner the best practice for a holistic risk management approach1,3. The bowtie simplifies the complexity of daily risks to a manageable size without losing the context. A bowtie platform is a value adding advancement to create an overview of an organisation's risks and how they are managed and communicated on all levels of the operational phase to cover the whole spectrum of enterprise risk management domains2.

“Human-Vehicle-Tunnel-Environment” Based Study on Key Issues and Solutions of Operation and Maintenance Risk Evaluation for Urban Road Tunnels

This paper provides analyses of operating environment features of urban tunnels in building, traffic, hydrology, vertical alignment, social environment and examination of key issues in operation and maintenance risk evaluation for urban tunnels: diversity and complexity of evaluation factors; timeliness of evaluation result; uncertainty of rating, etc. Relevant countermeasures are proposed for the above-mentioned key issues, including information collection technology based on the Internet of big data technology and risk dynamic assessment and management platform, etc., to provide a solution path for the real-time, intelligent and informatization of urban tunnel risk management and control.

A smarter model risk management discipline will follow from building smarter models: An abbreviated guide for designing the next generation of smart models

What if a financial firm decided to delete its entire set of models and redevelop them from scratch? What might it do differently in the process of rebuilding its entire model ecosystem in order to avoid and leverage from some of its previous mistakes? How could such a firm make a model risk management (MRM) platform smarter and less resource intensive than it was before? This paper describes one forward-looking possibility for making the manually intensive practice of MRM smarter by building models that are smarter in the sense of having a rudimentary level of ‘self-awareness’. Similar to the ways that tech firms have tracked the usage of their smart phones, cars, laptop computers and printers for many years, active intelligent agents embedded in model source code can support the creation of a dynamic model inventory to serve as a repository of historical data that accurately describes how, when and where a firm’s models are used and to diagram firm-wide interdependencies between data and models.

OpenDKP: Designing an Open Data Knowledge Platform for Disaster Risk Reduction and Management

재난위기 경감 및 관리 분야에서의 오픈 데이터는 재난의 예방, 완화, 준비, 대응 및 복구 등의 전체 재해 위험 관리 프로세스와 타분야 도메인 간 연계분석 등에 있어서 매우 중요한 역할을 한다. 본 연구에서는 재난 위험 감소 및 관리 분야의 최적 설계된 재난 데이터 수집, 관리, 배포 및 분석을 위한 지식 공유 플랫폼을 제안하였다. 본 연구에서는 개방형 데이터 지식 포털, API 게이트웨이, 재난 지식기반 플랫폼 및 빅데이터 분석 플랫폼과 같은 모듈형 플랫폼으로 구성된 개방형 데이터 플랫폼의 아키텍처 설계를 소개한다. 본 제안 시스템은 재난 대응 기술개발을 지원할 뿐만 아니라 재난 위험 완화 및 재난 대응, 재난 복구 및 위험 평가 연구를 위한 지식 허브로서도 중요한 역할을 할 수 있을 것이다.