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Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Water Resources Planning Under Deep Uncertainty For Physically, Socially, And Politically Complex Systems, Sarah St. George Freeman
Water Resources Planning Under Deep Uncertainty For Physically, Socially, And Politically Complex Systems, Sarah St. George Freeman
Doctoral Dissertations
Water supply systems, particularly those of large cities, are complex systems linking supply, regulatory and distribution infrastructure, and points of use. Despite their physical complexities, it is infrequent that full supply, distribution, end use, and feedbacks therein are considered in an integrated manner. These complex systems-of-systems face large uncertainties related to physical aspects such as degradation of infrastructure, changing demand, and climate variability and change. Though great, such physical uncertainties often pale in comparison to the those related to the human systems in place to manage them and yet uncertainty in the decision-making landscape is often grossly simplified in our …
Decision Analytical Methods For Robust Water Infrastructure Planning Under Deep Uncertainty, Mehmet Umit Taner
Decision Analytical Methods For Robust Water Infrastructure Planning Under Deep Uncertainty, Mehmet Umit Taner
Doctoral Dissertations
Deep uncertainties resulting from climate change, demographic pressures, and rapidly evolving socioeconomic conditions are challenging the way that water planners design and operate large-scale infrastructure systems. Conventionally, water infrastructures have been developed using stationary methods, assuming that the underlying uncertainties can be derived from historical data or experience. However, these methods are less useful under deeply uncertain climate and socioeconomic conditions, in which the future can be substantially different from the past and cannot be expressed by well-defined probability distributions. The recognition of deep uncertainties in long-term water resources planning has led to the development of “decision-analytical” frameworks that do …
Investigating Teenage Drivers' Driving Behavior Before And After Lag (Less Aggressive Goals) Training Program, Jingyi Zhang
Investigating Teenage Drivers' Driving Behavior Before And After Lag (Less Aggressive Goals) Training Program, Jingyi Zhang
Masters Theses
Motor vehicle crashes are a leading cause of death during adolescence, with the fatal crash rate per mile-driven for 16-19 years old drivers being nearly 3 times larger than the rate for drivers age 20 and older. High gravitational events among teenage drivers, such as quick starts, and hard stops, have been shown to be highly correlated with crash rates. The current younger driver training programs developed in the late 1990s, however, do not appear to be especially effective in regard to many skills which are critical to avoiding crashes. With this in mind, a simulator-based training program aimed at …