John D. Hill
Clinical Associate Professor of Operations and Decision Technologies | Indiana University, Kelley School of Business
Bloomington, IN, UNITED STATES
John Hill's research focuses on the design and enhancement of transportation systems, service systems and occupational health and safety.
Secondary Titles (1)
- Grant Thornton Scholar
Media
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Biography
Dr. Hill’s research focuses on the design and enhancement of systems that can respond to the evolving needs of the user. This is accomplished through experimental assessment of the operator’s behavior and performance, and computational models which account for other factors that relate to performance outcomes. Focuses include transportation, where driving simulators are used to assess the effect of vehicle and roadway design on driving performance; service systems, where both service providers and recipients are modeled to maximize value creation in the system; and occupational health and safety, where system design is evaluated to address ergonomic issues in the work place.
Industry Expertise (2)
Mechanical/Industrial Engineering
Education/Learning
Areas of Expertise (6)
Human Factors and Statistical Modeling
Service Systems Engineering
Engineering
Industrial Engineering
Mechanical Engineering
Cognitive and Learning Sciences
Education (3)
University of Iowa: Ph.D., Industrial Engineering 2006
Purdue University: M.S., Engineering 2006
Michigan Technological University: B.S., Mechanical Engineering 1999
Links (1)
Articles (3)
Driver stress as influenced by driving maneuvers and roadway conditions
Transportation Research Part F: Traffic Psychology and Behaviour
2007 Excess stress can influence driving performance and increase crash likelihood. The level of stress can also vary based on different driving conditions. Past research has not differentiated among these conditions, but rather has focused on individual driver differences. The goal of this study is to understand how different driving tasks and roadway conditions may influence the stress perceived by drivers. This was accomplished using data from a survey that assessed drivers’ stress under various road, traffic and weather-related scenarios. Factor analytic techniques were used to find groups of driving scenarios that generate similar stress levels in drivers. The results revealed four scenarios that were categorized in terms of (1) weather, (2) visibility, (3) interactions with other drivers, and (4) driving tasks. Ordered logistic regression models were then used to determine the effect of socioeconomic characteristics, trip behavior, and crash history for different stressful driving scenarios. Increases in stress with these four factors were influenced by age and gender, with females being more likely to report higher levels of stress than males. The effect of age varied in that older drivers generally reported higher stress levels, except when interacting with other drivers. Drivers with a history of crashes reported significantly higher stress levels when there was limited visibility, in adverse weather, and while performing common driving tasks. The results revealed that stress depends not only on driver characteristics, but also on the specific driving environment.
The safety implications of vehicle seat adjustments
Journal of Safety Research
2006 The goal of this study was to gather information on the preferred front seat position of vehicle occupants and to determine the impact of variation in seat position on safety during crashes.
Assessing the relative risk of severe injury in automotive crashes for older female occupants
Accident Analysis & Prevention
2006 A logistic regression model was used in the prediction of injury severity for individuals who are involved in a vehicular crash. The model identified females and older occupants (segmented by age 55–74, and 75 and older) as having a significantly higher risk of severe injuries in a crash. Further, interactions of older females with other factors, such as occupant seat position, crash type, and environmental factors were also shown to significantly impact the relative risk of a severe injury. This study revealed that females 75 years and older had the lowest odds of injury among all female occupants studied (OR = 1.16) while females between 55 and 74 years old have higher risk of severe injuries (OR = 1.74). All older females (55 and older) were at greater risk for head-on, side-impact and rear-end collisions. Seatbelt use reduced severe injuries for females in this age group, but not to the same extent as the rest of the population studied. Additionally, crashes in severe weather, which were less likely to result in severe injuries for the general population, increased the risk of severe injuries to females that were 55 and older. Among occupants of light trucks, sport utility vehicles and vans, older females were less likely than others to be severely injured. In this case, older females appear better off in vehicles which are larger and protect better in severe crashes. This research demonstrates that circumstances surrounding a crash greatly impact the severity of injuries sustained by older female occupants.
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