Journal ArticleDOI
Severity analysis of red-light-running-related crashes using structural equation modeling
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TLDR
Results showed that crash data supported the model hypothesis and measured/unobserved variables adequately predicted crash severity, and speed and kinetic energy were demonstrated to positively affect crash severity with kinetic energy being the more influential factor.Citations
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Investigating in-vehicle distracting activities and crash risks for young drivers using structural equation modeling.
TL;DR: The analysis showed that in-vehicle distractions had a high effect on the crash likelihood and dangerous driving behavior had a direct effect onThe crash risk probability, as well as on the rash driving latent variables.
Journal ArticleDOI
Measuring users’ satisfaction of the road network using structural equation modeling
TL;DR: The satisfaction of road users is one of the main goals of any highway authority and this study evaluates and identifies factors that affect users' satisfaction with the road network.
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Examining Injury Severity of Pedestrians in Vehicle-Pedestrian Crashes at Mid-Blocks Using Path Analysis
TL;DR: The results indicate some variables including number of road lanes and the age of pedestrian have indirect impacts on the injury severity through influencing the pre-crash behaviors, which may improve the overall understanding of pedestrian injury severity at mid-blocks.
Journal ArticleDOI
Critical Gap Comparison between One-, Two-, and Three-Lane Roundabouts in Qatar
Khaled Shaaban,Hassan Hamad +1 more
TL;DR: The purpose of this study is to measure and compare the critical gap values for different types of roundabouts in Qatar and to understand the difference in operation between them.
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Severity Analysis of Wildlife–Vehicle Crashes using Generalized Structural Equation Modeling:
Iman Gharraie,Emanuele Sacchi +1 more
TL;DR: In this article, the authors investigated the impact of wildlife-vehicle crashes (WVCs) on wildlife welfare, human health, and the economy, and found that thousands of WVCs occur in North America each year.
References
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Book
Structural Equations with Latent Variables
TL;DR: The General Model, Part I: Latent Variable and Measurement Models Combined, Part II: Extensions, Part III: Extensions and Part IV: Confirmatory Factor Analysis as discussed by the authors.
Journal ArticleDOI
Applications of Structural Equation Modeling in Psychological Research
TL;DR: This chapter presents a review of applications of structural equation modeling (SEM) published in psychological research journals in recent years and focuses first on the variety of research designs and substantive issues to which SEM can be applied productively.
MonographDOI
The Handbook of Road Safety Measures
TL;DR: This title covers various areas of road safety including: traffic control; vehicle inspection; driver training; publicity campaigns; police enforcement; and, general policy instruments.
Journal ArticleDOI
Structural equation modeling for travel behavior research
TL;DR: This review of SEM is intended to provide an introduction to the field for those who have not used the method, and a compendium of applications for Those who wish to compare experiences and avoid the pitfall of reinventing previous research.
Journal ArticleDOI
Masking misfit in confirmatory factor analysis by increasing unique variances: a cautionary note on the usefulness of cutoff values of fit indices.
TL;DR: Using data simulation, the authors illustrate how the value of the chi-square test, the root-mean-square error of approximation, and the standardized root- mean-square residual are decreased when unique variances are increased although model misspecification is present.