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Journal ArticleDOI: 10.1080/19439962.2019.1629137

Severity analysis of red-light-running-related crashes using structural equation modeling

04 Mar 2021-Journal of Transportation Safety & Security (Informa UK (Taylor & Francis Books))-Vol. 13, Iss: 3, pp 278-297
Abstract: The study investigated factors affecting the severity of red-light-running (RLR) -related crashes by means of crash records from the State of Florida (US). Previous studies have attempted to incorp...

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Topics: Crash (54%)
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7 results found


Open accessJournal ArticleDOI: 10.1371/JOURNAL.PONE.0235325
02 Jul 2020-PLOS ONE
Abstract: Distracted driving has been considered one of the main reasons for traffic crashes in recent times, especially among young drivers The objectives of this study were to identify the distracting activities in which young drivers engage, assess the most distracting ones based on their experiences, and investigate the factors that might increase crash risk The data were collected through a self-report questionnaire Most participants reported frequent cell phone use while driving Other reported activities include adjusting audio devices, chatting with passengers, smoking, eating, and drinking A structural equation model was constructed to identify the latent variables that have a significant influence on crash risk The analysis showed that in-vehicle distractions had a high effect on the crash likelihood The results also indicated that dangerous driving behavior had a direct effect on the crash risk probability, as well as on the rash driving latent variables The results provide insight into distracted driving behavior among young drivers and can be useful in developing enforcement and educational strategies to reduce this type of behavior

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Topics: Distracted driving (64%), Dangerous driving (58%), Crash (58%) ... read more

17 Citations


Open accessJournal ArticleDOI: 10.3390/SU12104232
21 May 2020-Sustainability
Abstract: A critical gap value of a roundabout is mainly affected by the interactions between the circulating vehicles and vehicles entering the roundabout. These interactions are impacted by many factors, including the number of circulating lanes, the aggressiveness of local drivers, vehicle types, and the number of approaching lanes. Therefore, it is essential to locally investigate critical gap values before conducting any studies to improve capacity and delay at roundabouts. The purpose of this study is to measure and compare the critical gap values for different types of roundabouts in Qatar. More than 10,000 measurements were collected. The results showed that the critical gap values were 2.24 s, 2.55 s, and 2.40 s for the one-, two-, and three-lane roundabouts, respectively. These values are also quite low when compared to values calculated in other countries, which can be an indication of driver aggressiveness and risky behavior. The study is one of the first efforts to compare three types of roundabouts and to understand the difference in operation between them in this region. The results of this study can help engineers, planners, and public agencies to plan, study, and design similar facilities.

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Topics: Roundabout (52%)

5 Citations


Open accessJournal ArticleDOI: 10.3390/IJERPH17176170
Haorong Peng1, Xiaoxiang Ma1, Feng Chen1Institutions (1)
Abstract: Walking is a sustainable mode of transport which has well established health and environmental benefits. Unfortunately, hundreds of thousands of pedestrians lose their lives each year over the world due to involvement in road traffic crashes, and mid-blocks witness a significant portion of pedestrian fatalities. This study examined the direct and indirect effects of various contributing factors on the pedestrian injury severity in vehicle-pedestrian crashes at mid-blocks. Data of vehicle-pedestrian crashes during 2002-2009 were extracted from the NASS-GES, with pre-crash behaviors and injury severity included. The SEM path analysis method was applied to uncover the inter-relationships between the pedestrian injury severity and various explanatory variables. Both the direct and indirect effects of these explanatory variables on the pedestrian injury severity were calculated based on the marginal effects in the multinomial and ordered logit models. 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. Although most indirect effects are relatively small compared with the direct effects, the results in this study still provide some valuable information to improve the overall understanding of pedestrian injury severity at mid-blocks.

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Topics: Poison control (52%), Pedestrian (51%)

4 Citations


Journal ArticleDOI: 10.1177/0361198120961088
Iman Gharraie1, Emanuele Sacchi1Institutions (1)
Abstract: Each year, thousands of wildlife–vehicle crashes (WVCs) occur in North America with negative effects on wildlife welfare, human health, and the economy. Although previous studies have investigated ...

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3 Citations


Journal ArticleDOI: 10.1080/15568318.2021.1934916
Abstract: The satisfaction of road users is one of the main goals of any highway authority. This study evaluates and identifies factors that affect users' satisfaction with the road network. A questionnaire ...

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2 Citations


References
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30 results found


Open accessBook
28 Apr 1989-
Abstract: Model Notation, Covariances, and Path Analysis. Causality and Causal Models. Structural Equation Models with Observed Variables. The Consequences of Measurement Error. Measurement Models: The Relation Between Latent and Observed Variables. Confirmatory Factor Analysis. The General Model, Part I: Latent Variable and Measurement Models Combined. The General Model, Part II: Extensions. Appendices. Distribution Theory. References. Index.

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Topics: Latent variable model (73%), Latent variable (69%), Latent class model (65%) ... read more

18,996 Citations


Journal ArticleDOI: 10.1146/ANNUREV.PSYCH.51.1.201
Abstract: This chapter presents a review of applications of structural equation modeling (SEM) published in psychological research journals in recent years. We focus first on the variety of research designs and substantive issues to which SEM can be applied productively. We then discuss a number of methodological problems and issues of concern that characterize some of this literature. Although it is clear that SEM is a powerful tool that is being used to great benefit in psychological research, it is also clear that the applied SEM literature is characterized by some chronic problems and that this literature can be considerably improved by greater attention to these issues.

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2,265 Citations


MonographDOI: 10.1108/9781848552517
14 Oct 2009-
Abstract: Contains summaries of the knowledge regarding the effects of 128 road safety measures This title covers various areas of road safety including: traffic control; vehicle inspection; driver training; publicity campaigns; police enforcement; and, general policy instruments It also covers topics such as post-accident care, and speed cameras

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Topics: Vehicle inspection (59%), Publicity (55%), Highway engineering (54%)

1,403 Citations


Open accessJournal ArticleDOI: 10.1016/S0191-2615(01)00046-7
Thomas F. Golob1Institutions (1)
Abstract: Structural equation modeling (SEM) is an extremely flexible linear-in-parameters multivariate statistical modeling technique. It has been used in modeling travel behavior and values since about 1980, and its use is rapidly accelerating, partially due to the availability of improved software. The number of published studies, now known to be more than 50, has approximately doubled in the past three years. 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.

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Topics: Travel behavior (52%)

846 Citations


Journal ArticleDOI: 10.1037/A0024917
Moritz Heene1, Sven Hilbert2, Clemens Draxler2, Matthias Ziegler3  +1 moreInstitutions (3)
Abstract: Fit indices are widely used in order to test the model fit for structural equation models. In a highly influential study, Hu and Bentler (1999) showed that certain cutoff values for these indices could be derived, which, over time, has led to the reification of these suggested thresholds as "golden rules" for establishing the fit or other aspects of structural equation models. The current study shows how differences in unique variances influence the value of the global chi-square model test and the most commonly used fit indices: Root-mean-square error of approximation, standardized root-mean-square residual, and the comparative fit index. 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. For a broader understanding of the phenomenon, the authors used different sample sizes, number of observed variables per factor, and types of misspecification. A theoretical explanation is provided, and implications for the application of structural equation modeling are discussed.

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225 Citations


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