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Articles 1 - 10 of 10
Full-Text Articles in Engineering
Local Government Policy And Planning For Unmanned Aerial Systems, Tyler Spence, Francesca Favaro, Kally Yeung
Local Government Policy And Planning For Unmanned Aerial Systems, Tyler Spence, Francesca Favaro, Kally Yeung
Mineta Transportation Institute
This research identifies key state and local government stakeholders in California for drone policy creation and implementation, and describes their perceptions and understanding of drone policy. The investigation assessed stakeholders’ positions, interests, and influence on issues, with the goal of providing potential policy input to achieve successful drone integration in urban environments and within the national airspace of the United States. The research examined regulatory priorities through the use of a two-tiered Stakeholder Analysis Process. The first tier consisted of a detailed survey sent out to over 450 local agencies and jurisdictions in California. The second tier consisted of an …
Segmentation Of Severe Occupational Incidents In Agribusiness Industries Using Latent Class Clustering, Fatemeh Davoudi Kakhki, Steven Freeman, Gretchen Mosher
Segmentation Of Severe Occupational Incidents In Agribusiness Industries Using Latent Class Clustering, Fatemeh Davoudi Kakhki, Steven Freeman, Gretchen Mosher
Faculty Publications
One of the principle objectives in occupational safety analysis is to identify the key factors that affect the severity of an incident. To identify risk groups of occupational incidents and the factors associated with them, statistical analysis of workers’ compensation claims data is performed using latent class clustering, for the segmentation of 1031 severe occupational incidents in agribusiness industries in the Midwest region of the United States between 2008–2016. In this study, severe incidents are those with workers’ compensation costs equal to or greater than $100,000 (USD). Based on the latent class clustering results, three risk groups are identified with …
Use Of Logistic Regression To Identify Factors Influencing The Post-Incident State Of Occupational Injuries In Agribusiness Operations, Fatemeh Davoudi Kakhki, Steven Freeman, Gretchen Mosher
Use Of Logistic Regression To Identify Factors Influencing The Post-Incident State Of Occupational Injuries In Agribusiness Operations, Fatemeh Davoudi Kakhki, Steven Freeman, Gretchen Mosher
Faculty Publications
Agribusiness industries are among the most hazardous workplaces for non-fatal occupational injuries. The term “post-incident state” is used to describe the health status of an injured person when a non-fatal occupational injury has occurred, in the post-incident period when the worker returns to work, either immediately with zero days away from work (medical state) or after a disability period (disability state). An analysis of nearly 14,000 occupational incidents in agribusiness operations allowed for the classification of the post-incident state as medical or disability (77% and 23% of the cases, respectively). Due to substantial impacts of occupational incidents on labor-market outcomes, …
Evaluating Machine Learning Performance In Predicting Injury Severity In Agribusiness Industries, Fatemeh Davoudi Kakhki, Steven Freeman, Gretchen Mosher
Evaluating Machine Learning Performance In Predicting Injury Severity In Agribusiness Industries, Fatemeh Davoudi Kakhki, Steven Freeman, Gretchen Mosher
Faculty Publications
Although machine learning methods have been used as an outcome prediction tool in many fields, their utilization in predicting incident outcome in occupational safety is relatively new. This study tests the performance of machine learning techniques in modeling and predicting occupational incidents severity with respect to accessible information of injured workers in agribusiness industries using workers’ compensation claims. More than 33,000 incidents within agribusiness industries in the Midwest of the United States for 2008–2016 were analyzed. The total cost of incidents was extracted and classified from workers’ compensation claims. Supervised machine learning algorithms for classification (support vector machines with linear, …
Analyzing Large Workers’ Compensation Claims Using Generalized Linear Models And Monte Carlo Simulation, Fatemeh Davoudi Kakhki, Steven Freeman, Gretchen Mosher
Analyzing Large Workers’ Compensation Claims Using Generalized Linear Models And Monte Carlo Simulation, Fatemeh Davoudi Kakhki, Steven Freeman, Gretchen Mosher
Faculty Publications
Insurance practitioners rely on statistical models to predict future claims in order to provide financial protection. Proper predictive statistical modeling is more challenging when analyzing claims with lower frequency, but high costs. The paper investigated the use of predictive generalized linear models (GLMs) to address this challenge. Workers’ compensation claims with costs equal to or more than US$100,000 were analyzed in agribusiness industries in the Midwest of the USA from 2008 to 2016. Predictive GLMs were built with gamma, Weibull, and lognormal distributions using the lasso penalization method. Monte Carlo simulation models were developed to check the performance of predictive …
Toward Risk Assessment 2.0: Safety Supervisory Control And Model-Based Hazard Monitoring For Risk-Informed Safety Interventions, Francesca Favaro, Joseph Saleh
Toward Risk Assessment 2.0: Safety Supervisory Control And Model-Based Hazard Monitoring For Risk-Informed Safety Interventions, Francesca Favaro, Joseph Saleh
Faculty Publications
Probabilistic Risk Assessment (PRA) is a staple in the engineering risk community, and it has become to some extent synonymous with the entire quantitative risk assessment undertaking. Limitations of PRA continue to occupy researchers, and workarounds are often proposed. After a brief review of this literature, we propose to address some of PRA׳s limitations by developing a novel framework and analytical tools for model-based system safety, or safety supervisory control, to guide safety interventions and support a dynamic approach to risk assessment and accident prevention. Our work shifts the emphasis from the pervading probabilistic mindset in risk assessment toward the …
Temporal Logic For System Safety Properties And Hazard Monitoring, Francesca Favaro, J. Saleh
Temporal Logic For System Safety Properties And Hazard Monitoring, Francesca Favaro, J. Saleh
Faculty Publications
No abstract provided.
Software In Military Aviation And Drone Mishaps: Analysis And Recommendations For The Investigation Process, Veronica Foreman, Francesca Favaro, Joseph Saleh, Christopher Johnson
Software In Military Aviation And Drone Mishaps: Analysis And Recommendations For The Investigation Process, Veronica Foreman, Francesca Favaro, Joseph Saleh, Christopher Johnson
Faculty Publications
Software plays a central role in military systems. It is also an important factor in many recent incidents and accidents. A safety gap is growing between our software-intensive technological capabilities and our understanding of the ways they can fail or lead to accidents. Traditional forms of accident investigation are poorly equipped to trace the sources of software failure, for instance software does not age in the same way that hardware components fail over time. As such, it can be hard to trace the causes of software failure or mechanisms by which it contributed to accidents back into the development and …
System Safety Principles: A Multidisciplinary Engineering Perspective, Joseph Saleh, Karen Marais, Francesca Favaro
System Safety Principles: A Multidisciplinary Engineering Perspective, Joseph Saleh, Karen Marais, Francesca Favaro
Faculty Publications
System safety is of particular importance for many industries. Broadly speaking, it refers to the state or objective of striving to sustainably ensure accident prevention through actions on multiple safety levers (technical, organizational, and regulatory). While complementary to risk analysis, it is distinct in one important way: risk analysis is anticipatory rationality examining the possibility of adverse events (or accident scenarios), and the tools of risk analysis support and in some cases quantify various aspects of this analysis effort. The end-objective of risk analysis is to help identify and prioritize risks, inform risk management, and support risk communication. These tools …
Analysis Of Software Contributions To Military Aviation And Drone Mishaps, Veronica Foreman, Francesca Favaro, Joseph Saleh
Analysis Of Software Contributions To Military Aviation And Drone Mishaps, Veronica Foreman, Francesca Favaro, Joseph Saleh
Faculty Publications
Software is assuming an increasing role in the aerospace industry, and by the same token it is also playing an increasing role in many recent incidents and accidents of both military and commercial vehicles. To better understand this role, we examine two case studies from the accident database of the Air Force Accident Investigation Board (AIB). We previously illustrated the limitations of the notion of “software failure” and developed, in its stead, the notion of software contribution to adverse events. We show here how specific operational scenarios, generally unconsidered during the software development and testing, trigger those contributions. We provide …