scholarly journals Investigating Influential Factors for Commercial Vehicle Crashes Using a Hierarchical Model: Focusing on the Occupational Driver’s Intrinsic Factors

2021 ◽  
Vol 39 (6) ◽  
pp. 807-825
Author(s):  
Joonbum LIM ◽  
Jae-Won JEON ◽  
Eunsol CHO ◽  
Cheol OH ◽  
Ho-Chul PARK
Keyword(s):  
Hierarchical Model ◽  
Commercial Vehicle ◽  
Influential Factors ◽  
Vehicle Crashes ◽  
Intrinsic Factors

Characterization of Commercial Vehicle Crashes and Driver Injury

2011 ◽  
Author(s):  
Thomas Klena II ◽  
Daniel Blower PhD ◽  
Kurt Fischer P.E. ◽  
John Woodrooffe
Keyword(s):  
Commercial Vehicle ◽  
Vehicle Crashes

scholarly journals INVESTIGATION OF ROADWAY GEOMETRIC AND TRAFFIC FLOW FACTORS FOR VEHICLE CRASHES USING SPATIOTEMPORAL INTERACTION

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 1163-1166 ◽  
Author(s):  
G. Gill ◽  
T. Sakrani ◽  
W. Cheng ◽  
J. Zhou
Keyword(s):  
Prediction Model ◽  
Traffic Flow ◽  
Traffic Safety ◽  
Safety Management ◽  
Influential Factors ◽  
Vehicle Crashes ◽  
Crash Prediction ◽  
Crash Data ◽  
Crash Prediction Model ◽  
Vehicular Crashes

Traffic safety is a major concern in the transportation industry due to immense monetary and emotional burden caused by crashes of various severity levels, especially the injury and fatality ones. To reduce such crashes on all public roads, the safety management processes are commonly implemented which include network screening, problem diagnosis, countermeasure identification, and project prioritization. The selection of countermeasures for potential mitigation of crashes is governed by the influential factors which impact roadway crashes. Crash prediction model is the tool widely adopted by safety practitioners or researchers to link various influential factors to crash occurrences. Many different approaches have been used in the past studies to develop better fitting models which also exhibit prediction accuracy. In this study, a crash prediction model is developed to investigate the vehicular crashes occurring at roadway segments. The spatial and temporal nature of crash data is exploited to form a spatiotemporal model which accounts for the different types of heterogeneities among crash data and geometric or traffic flow variables. This study utilizes the Poisson lognormal model with random effects, which can accommodate the yearly variations in explanatory variables and the spatial correlations among segments. The dependency of different factors linked with roadway geometric, traffic flow, and road surface type on vehicular crashes occurring at segments was established as the width of lanes, posted speed limit, nature of pavement, and AADT were found to be correlated with vehicle crashes.

Influence of General and Crystallized Intelligence on Vocabulary Test Performance

2002 ◽  
Vol 18 (1) ◽  
pp. 78-84 ◽  
Author(s):  
Eva Ullstadius ◽  
Jan-Eric Gustafsson ◽  
Berit Carlstedt
Keyword(s):  
Hierarchical Model ◽  
Test Performance ◽  
Verbal Ability ◽  
Testing Procedure ◽  
Intellectual Ability ◽  
Analysis Of Covariance ◽  
Categorical Variables ◽  
Vocabulary Test ◽  
Crystallized Intelligence ◽  
General Ability

Summary: Vocabulary tests, part of most test batteries of general intellectual ability, measure both verbal and general ability. Newly developed techniques for confirmatory factor analysis of dichotomous variables make it possible to analyze the influence of different abilities on the performance on each item. In the testing procedure of the Computerized Swedish Enlistment test battery, eight different subtests of a new vocabulary test were given randomly to subsamples of a representative sample of 18-year-old male conscripts (N = 9001). Three central dimensions of a hierarchical model of intellectual abilities, general (G), verbal (Gc'), and spatial ability (Gv') were estimated under different assumptions of the nature of the data. In addition to an ordinary analysis of covariance matrices, assuming linearity of relations, the item variables were treated as categorical variables in the Mplus program. All eight subtests fit the hierarchical model, and the items were found to load about equally on G and Gc'. The results also indicate that if nonlinearity is not taken into account, the G loadings for the easy items are underestimated. These items, moreover, appear to be better measures of G than the difficult ones. The practical utility of the outcome for item selection and the theoretical implications for the question of the origin of verbal ability are discussed.

How to Evaluate Remote Tower Metrics in Connection With Weather Observations

2018 ◽  
Vol 8 (2) ◽  
pp. 100-111 ◽  
Author(s):  
Maik Friedrich ◽  
Christoph Möhlenbrink
Keyword(s):  
Traffic Control ◽  
Air Traffic Control ◽  
Influential Factors ◽  
Air Traffic ◽  
Weather Event ◽  
Evaluation Of Performance ◽  
Weather Events ◽  
Weather Observations ◽  
Validation Experiment ◽  
Remote Controller

Abstract. Owing to the different approaches for remote tower operation, a standardized set of indicators is needed to evaluate the technical implementations at a task performance level. One of the most influential factors for air traffic control is weather. This article describes the influence of weather metrics on remote tower operations and how to validate them against each other. Weather metrics are essential to the evaluation of different remote controller working positions. Therefore, weather metrics were identified as part of a validation at the Erfurt-Weimar Airport. Air traffic control officers observed weather events at the tower control working position and the remote control working position. The eight participating air traffic control officers answered time-synchronized questionnaires at both workplaces. The questionnaires addressed operationally relevant weather events in the aerodrome. The validation experiment targeted the air traffic control officer’s ability to categorize and judge the same weather event at different workplaces. The results show the potential of standardized indicators for the evaluation of performance and the importance of weather metrics in relation to other evaluation metrics.

Masked Translation Priming Effects With Highly Proficient Simultaneous Bilinguals

2010 ◽  
Vol 57 (2) ◽  
pp. 98-107 ◽  
Author(s):  
Jon Andoni Duñabeitia ◽  
Manuel Perea ◽  
Manuel Carreiras
Keyword(s):  
Lexical Decision ◽  
Hierarchical Model ◽  
Priming Effect ◽  
Masked Priming ◽  
The Other ◽  
Memory Organization ◽  
Priming Effects ◽  
Bilingual Memory ◽  
Translation Priming ◽  
Masked Translation Priming

One essential issue for models of bilingual memory organization is to what degree the representation from one of the languages is shared with the other language. In this study, we examine whether there is a symmetrical translation priming effect with highly proficient, simultaneous bilinguals. We conducted a masked priming lexical decision experiment with cognate and noncognate translation equivalents. Results showed a significant masked translation priming effect for both cognates and noncognates, with a greater priming effect for cognates. Furthermore, the magnitude of the translation priming was similar in the two directions. Thus, highly fluent bilinguals do develop symmetrical between-language links, as predicted by the Revised Hierarchical model and the BIA+ model. We examine the implications of these results for models of bilingual memory.

Heterosexual men's attitudes toward gay men: A hierarchical model including masculinity, openness, and theoretical explanations.

2008 ◽  
Vol 9 (3) ◽  
pp. 154-166 ◽  
Author(s):  
Joseph M. Barron ◽  
Cindy Struckman-Johnson ◽  
Randal Quevillon ◽  
Sarah R. Banka
Keyword(s):  
Gay Men ◽  
Hierarchical Model

Driving Decisions and Vehicle Crashes Among Older Drivers

1995 ◽  
Author(s):  
Patricia S. Hu ◽  
David Trumble ◽  
An Lu
Keyword(s):  
Older Drivers ◽  
Vehicle Crashes

A hierarchical model of team climate in an extreme environment

2003 ◽  
Author(s):  
Lacey L. Schmidt ◽  
JoAnna Wood ◽  
Peter Sullivan
Keyword(s):  
Hierarchical Model ◽  
Extreme Environment ◽  
Team Climate
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