Index Catalog // ScholarsArchive@OSU

The Number of Lanes and Crash Injury Severities of Commercial Motor Vehicle Drivers: Advanced Econometric Models and Applications

Creator:: Kim, Jaekook
Abstract:: Considering the deadly impacts of commercial motor vehicle (CMV) crashes on road safety, many previous studies have put in efforts to find the determinants of CMV crash injury severities. However, studies examining the impact of the different number of lanes on CMV crash injury severities are lacking. Besides, the importance...
Resource Type:: Masters Thesis
Full Text:: : _____________________________________________________ Salvador Hernandez Considering the deadly impacts of commercial

The Statistical and Econometric Analyses of the Impacts of Covid-19 on Truck Driver Behavior

Creator:: Velasquez, Brianna N.
Abstract:: The outbreak of the Coronavirus Disease 2019 (COVID-19) and the restrictions implemented in response to it (e.g., stay-at-home orders, social distancing mandates, business closures) had unprecedented effects on the trucking industry. The pandemic prompted the first significant overhaul of federal hours-of-service (HOS) regulations in over 15 years. Prior to the...
Resource Type:: Masters Thesis
Full Text:: Hernandez The outbreak of the Coronavirus Disease 2019 (COVID-19) and the restrictions implemented in

Evaluating Contributing Factors to Collision Types through Discrete Choice Analysis : An Application to Large-Truck Crashes in Washington State

Creator:: Dudich, Dejan
Abstract:: While there have been several efforts to understand large-truck crashes, the relationship between crash factors, crash severity and collision type is not clearly understood. Past studies have utilized different statistical or econometric models to predict the manner of collision at intersections, yet not much attention has been paid to the...
Resource Type:: Masters Thesis
Full Text:: . (M. Bin Islam and Hernandez, 2013; Pahukula et al., 2015; Savolainen et al., 2011). Multinomial

Non-native and native plant species distributions and variability along an elevation gradient in the Wallowa Mountains, Oregon

Creator:: Averett, Joshua P.
Abstract:: Invasion by non-native plants into natural areas is an important component of global change that threatens biodiversity and ecosystem structure and function. Mountains are currently among the least invaded ecosystems, however, these biodiversity hotspots are increasingly under threat of exotic plant invasion. Evaluation of plant species distribution patterns in mountain...
Resource Type:: Masters Thesis
Full Text:: OF Joshua P. Averett for the degree of Master of Science in Rangeland Science presented on June

Physiological impacts of groundwater and surface water application on desert graminoids of different geographic origin

Creator:: Abdallah, Mohamed (Mohamed Ahmed B.)
Abstract:: Desert plant communities are among the most sensitive to changes in soil water conditions. In areas with shallow aquifers, it is important to understand both the effects of groundwater alterations on vegetation and how changes in surface-soil water affect plant water uptake. Studies in arid environments have evaluated the effect...
Resource Type:: Masters Thesis
Full Text:: areas whose maximum reported root depth of 1.5 m (Smoliak 1990; Mata-Gonzalez et al. 2012). J

Evaluating

Creator:: Claveria, Joseph B.
Abstract:: Distracted driving is an adverse driving behavior that is widely known to impair the safety of all roadway users and traffic flow. Despite the extensive research efforts on the prevalence and effects of distracted driving on roadway safety and performance, the number of vehicular crashes and fatalities resulting from distracted...
Resource Type:: Masters Thesis
Full Text:: : ______________________________________________________ Salvador Hernandez Distracted driving is an adverse driving behavior that is widely known

Examining the Impacts of the COVID-19 Pandemic on Driver Behavior and Injury Severity: Econometric Methods and Applications

Creator:: Ghosh, Sukallyan
Abstract:: The onset of the COVID-19 pandemic led to significant transformations in global mobility patterns, primarily driven by stay-at-home orders and economic shutdowns. These measures resulted in a substantial decline in travel activities worldwide. In the United States, there was a notable reduction in travel demand, with a corresponding decrease in...
Resource Type:: Masters Thesis
Full Text:: Salvador Hernandez The onset of the COVID-19 pandemic led to significant transformations in

An Evaluation of the Random-Parameter and Latent Class Methods for Heavy Vehicle Injury Severity and Crash Rate Analysis : An Idaho Case Study by Roadway Classification

Creator:: Anderson, Jason
Abstract:: This thesis provides a comparison of advanced econometric frameworks to account for unobserved factors in crash reported data (also referred to as unobserved heterogeneity) while identifying contributing factors by roadway classification for heavy vehicle injury severity and crash rates. The presented thesis provides two manuscripts that expand the literature regarding...
Resource Type:: Masters Thesis
Full Text:: : ______________________________________________________ Salvador Hernandez This thesis provides a comparison of advanced econometric frameworks

Applying the Mixed Logit Model with Heterogeneity in Means and Variances to Pedestrian Injury Severity Outcomes

Creator:: Umphress, James
Abstract:: Walking is the single most universal mode of transportation in the world, but being a pedestrian exposes a traveler to high risk. Historically, pedestrians have consistently experienced disproportionately high rates of fatalities and severe injuries in traffic crashes. Research has probed into factors influencing pedestrian crash injury severity outcomes, but...
Resource Type:: Masters Thesis
Full Text:: : _______________________________________________ Salvador Hernandez Walking is the single most universal mode of transportation in the

Spatial and Temporal Effects of Large Truck-Involved Crash Injury Severities : A Mixed Logit Analysis

Creator:: Pahukula, Jasmine
Abstract:: Large truck-involved crashes have a significant impact on both the economy and society. They are associated with high injury severities, high crash costs and contribute to congestion in urban areas. Past studies have investigated the contributing factors of large truck-involved crashes, however a study isolating the spatial and temporal effects...
Resource Type:: Masters Thesis
Full Text:: (Dissanayake and Kotikalapudi, 2012; Dong et al., 2014; Hans and Gkritza, 2014; M. Bin Islam and Hernandez

ScholarsArchive@OSU

The Number of Lanes and Crash Injury Severities of Commercial Motor Vehicle Drivers: Advanced Econometric Models and Applications

The Statistical and Econometric Analyses of the Impacts of Covid-19 on Truck Driver Behavior

Evaluating Contributing Factors to Collision Types through Discrete Choice Analysis : An Application to Large-Truck Crashes in Washington State

Non-native and native plant species distributions and variability along an elevation gradient in the Wallowa Mountains, Oregon

Physiological impacts of groundwater and surface water application on desert graminoids of different geographic origin

Evaluating

Examining the Impacts of the COVID-19 Pandemic on Driver Behavior and Injury Severity: Econometric Methods and Applications

An Evaluation of the Random-Parameter and Latent Class Methods for Heavy Vehicle Injury Severity and Crash Rate Analysis : An Idaho Case Study by Roadway Classification

Applying the Mixed Logit Model with Heterogeneity in Means and Variances to Pedestrian Injury Severity Outcomes

Spatial and Temporal Effects of Large Truck-Involved Crash Injury Severities : A Mixed Logit Analysis

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