Exploring the Nature and Severity of Heavy Truck Crashes in Abu Dhabi, United Arab Emirates

2015 ◽  
Vol 2517 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Hany M. Hassan ◽  
Nuha M. Albusaeedi ◽  
Atef M. Garib ◽  
Hussain A. Al-Harthei
Keyword(s):  
United Arab Emirates ◽  
Traffic Safety ◽  
Structural Equation ◽  
Human Error ◽  
Structural Equation Models ◽  
Abu Dhabi ◽  
Driver Education ◽  
Road Speed ◽  
Road Type ◽  
Heavy Truck

Traffic crashes involving heavy trucks long have been a major concern in the field of traffic safety because of their great effect on accident severity. The emirate of Abu Dhabi, capital of the United Arab Emirates, features a unique situation: several roads designed mainly for truck movement. Even though those roads were constructed more than 10 years ago to decrease the severity of truck-related crashes, no prior studies have examined their effects on traffic safety improvements. The goals of this study were to understand better the nature, characteristics, and causes of heavy truck crashes occurring in Abu Dhabi; to identify the factors associated with crash severities; and to examine the probability of truck crashes involving fatalities on truck roads versus on mixed-vehicle roads. Data were analyzed from a sample of 1,426 heavy truck–related crashes with reported fatalities or injuries that occurred in Abu Dhabi between 2007 and 2013. First, conditional distributions, two-way analysis, and odds ratios were performed. Second, ordered probit and structural equation models were developed. Results indicated that the likelihood of truck crashes involving fatalities was 35% higher on truck roads than on mixed-vehicle roads. In addition, findings showed that human error, driver education, location, road type, and road speed variables were significant in affecting the severity of heavy truck– related crashes. Finally, practical suggestions on how to reduce the number of heavy truck–related crashes in Abu Dhabi are presented and discussed.

scholarly journals Investigating Relationships Between Learning Environment Perceptions, Motivation and Self-Regulation for Female Science Students in Abu Dhabi, United Arab Emirates

2021 ◽  
Author(s):  
Jill M Aldridge ◽  
Kate Rowntree
Keyword(s):  
Learning Environment ◽  
United Arab Emirates ◽  
Structural Equation ◽  
Science Classroom ◽  
Self Regulation ◽  
Female Students ◽  
Abu Dhabi ◽  
Government Schools ◽  
Psychosocial Learning Environment ◽  
And Gender

AbstractThe global lack of student motivation towards learning science and gender imbalance in STEM careers provided the impetus for this study, which had two key aims: (1) to examine the influence of female students’ perceptions of the psychosocial learning environment on their motivation towards and self-regulation in science learning,; and (2) to investigate the influence of their reported motivation on their self-regulation of effort. Data were collected from 338 female students in grades 6 to 9 science classes across 16 government schools in Abu Dhabi, in the United Arab Emirates. Structural equation modelling was used to explore the hypothesised relationships, which indicated that there were statistically significant relationships between learning environment perceptions, motivation and self-regulation. The results provide exigent information to both teachers, policy-makers and researchers with regard to the influences of the psychosocial learning environment on female students’ motivation towards science, as well as the influence of motivation towards science on their self-regulatory behaviour within science classroom settings.

Residents’ perceptions of the impact of tourism in Abu Dhabi, United Arab Emirates

2017 ◽  
Vol 11 (4) ◽  
pp. 551-572 ◽  
Author(s):  
Nada Hammad ◽  
Syed Zamberi Ahmad ◽  
Avraam Papastathopoulos
Keyword(s):  
United Arab Emirates ◽  
Social Exchange ◽  
Structural Equation ◽  
Social Exchange Theory ◽  
Cultural Influences ◽  
Abu Dhabi ◽  
Equation Modeling ◽  
Content Type ◽  
The Social ◽  
The Impact

Purpose This paper aims to investigate residents’ perceptions of tourism’s impact on their support for tourism development in Abu Dhabi, United Arab Emirates (UAE). Design/methodology/approach Data were collected using self-administered questionnaires from Abu Dhabi residents (n = 407), who represented 30 nationalities residing in the emirate. Based on social exchange theory, structural equation modeling was used to test hypotheses. Findings Results suggest that Abu Dhabi residents perceive the impacts of tourism positively and are more sensitive to the environmental and economic influences of tourism than the social and cultural influences. Research limitations/implications This study was limited to Abu Dhabi residents; findings cannot be generalized to other emirates in the UAE, or other countries. Originality/value This study adds value to extant tourism literature by investigating residents’ perceptions of the influence of tourism in one of the richest cities worldwide, which aspires to be one of the fastest growing tourism destinations in the Middle East.

Examining the factors affecting the severity of run-off-road crashes in Abu Dhabi

2016 ◽  
Vol 43 (2) ◽  
pp. 132-138 ◽  
Author(s):  
Mohamed Shawky ◽  
Hany M. Hassan ◽  
Atef M. Garib ◽  
Hussain A. Al-Harthei
Keyword(s):  
Traffic Safety ◽  
Surface Condition ◽  
Probit Model ◽  
Abu Dhabi ◽  
Factors Affecting ◽  
Environment Factors ◽  
Crash Data ◽  
Road Crashes ◽  
Run Off ◽  
Road Type

Recently, the severity of injuries resulting from traffic crashes has been extensively investigated in numerous studies. However, the number of studies that addressed the severity of the run-off-road (ROR) crashes is relatively low. In the Emirate of Abu Dhabi (AD), approximately 22% of the total serious crashes and fatalities that occurred from 2007 to 2013 were ROR crashes. Despite these facts and the uniqueness of the composition of licensed drivers in AD (approximately 87% of them are non-Emiratis), the factors affecting the occurrence and severity of ROR crashes in AD have not been explicitly addressed in any prior studies. Therefore, this study aims to investigate the characteristics of at-fault drivers involved in ROR crashes in AD, the nature and main causes of those crashes. In this regard, conditional distribution and two-way contingency tables were developed. In addition, this study aims to identify and quantify the factors affecting the severity of ROR crashes such as driver, road, vehicle and environment factors. To achieve this goal, ordered probit model approach was employed. Crash data for a total of 3819 ROR crashes that occurred in AD were employed in the analysis. The results indicated that driver factors (carelessness, speeding, and nationality), vehicle characteristics (vehicle type), and road and environment factors (road type, crash location and road surface condition) were the significant factors influencing the severity of ROR crashes in AD. Countermeasures to improve traffic safety and reduce numbers and severity of ROR crashes in AD were discussed.

Toward Safe Systems: Traffic Safety, Cognition, and the Built Environment

2020 ◽  
pp. 0739456X2093191
Author(s):  
Eric Dumbaugh ◽  
Dibakar Saha ◽  
Louis Merlin
Keyword(s):  
Built Environment ◽  
Traffic Safety ◽  
Human Error ◽  
Driver Education ◽  
Traffic Crashes ◽  
Design Decisions ◽  
Human Errors ◽  
Cognitive Framework ◽  
Crash Prevention ◽  
Education And Law

Conventional transportation practice attributes traffic crashes to human error, leading to the prevailing assumption that crash prevention is principally an outcome of driver education and law enforcement programs. But what if planning and urban design decisions induce human errors? In this study, we examine the literature in organizational systems safety, cognitive psychology, and behavioral economics to detail how cognitive interpretations of the built environment may produce the errors that result in traffic crashes. We proceed to examine crash incidence in Charlotte-Mecklenberg County in light of this cognitive framework and discuss its implications for research and practice.

Antecedents of parent-based school reputation and loyalty: an international application

2014 ◽  
Vol 28 (6) ◽  
pp. 635-654 ◽  
Author(s):  
Masood A. Badri ◽  
Jihad Mohaidat
Keyword(s):  
United Arab Emirates ◽  
Structural Equation ◽  
Strong Support ◽  
Parental Satisfaction ◽  
Abu Dhabi ◽  
Careful Examination ◽  
Parental Perception ◽  
Public And Private ◽  
Content Type ◽  
Parent Orientation

Purpose – The purpose of this paper is to validate the direction and strength of the relationships between school reputation, parental satisfaction and parental loyalty. Design/methodology/approach – The paper reports the findings of a survey of 806 parents from Schools in Abu Dhabi – the United Arab Emirates. The paper builds mainly on previous work of Skallerud (2011) on measurement of school reputations. Structural equation modelling was used to validate the reputation measure and to test the proposed relationships. The model hypothesised and tested relationships linking school reputation to parental satisfaction and loyalty. Findings – The results show strong support for a satisfaction-reputation-loyalty model and confirmed the four-dimensional scale (parental orientation, learning quality, safe environment and good teachers) for assessment of parent-based school reputation. Evidence was found that parents’ satisfaction significantly affects the four reputation dimensions. However, only three constructs of parent orientation affected parental perception of school loyalty. Additional personal or demographic variables should be included to improve the model. Research limitations/implications – The study was limited to parents of children attending public and private schools in Abu Dhabi. The model should be validated with other schools and in other Emirates and countries. Practical implications – Identifying the antecedents of parent-based school reputation might aid school decision makers to better address parental satisfaction and loyalty. A careful examination of the causal relations between the various constructs could aid in crafting and implementing effective programs for increasing parental satisfaction and attracting future students. Originality/value – The study adds to the limited body of research addressing the appropriate conceptualisation and measurement of school reputation. It also sheds light on a better understanding of the potential relationships among the constructs in the model.

scholarly journals Risk Riding Behaviors of Urban E-Bikes: A Literature Review

2019 ◽  
Vol 16 (13) ◽  
pp. 2308 ◽  
Author(s):  
Ma ◽  
Yang ◽  
Zhou ◽  
Feng ◽  
Yuan
Keyword(s):  
Traffic Safety ◽  
Structural Equation ◽  
Traffic Accidents ◽  
Structural Equation Models ◽  
Motor Vehicle ◽  
Survey Methods ◽  
Strong Association ◽  
Red Light ◽  
Risk Tolerance ◽  
The Future

In order to clearly understand the risky riding behaviors of electric bicycles (e-bikes) and analyze the riding characteristics, we review the research results of the e-bike risky riding behavior from three aspects: the characteristics and causes of e-bike accidents, the characteristics of users’ traffic behavior, and the prevention and intervention of traffic accidents. The analysis results show that the existing research methods on risky riding behavior of e-bikes mainly involve questionnaire survey methods, structural equation models, and binary probability models. The illegal occupation of motor vehicle lanes, over-speed cycling, red-light running, and illegal manned and reverse cycling are the main risky riding behaviors seen with e-bikes. Due to the difference in physiological and psychological characteristics such as gender, age, audiovisual ability, responsiveness, patience when waiting for a red light, congregation, etc., there are differences in risky cycling behaviors of different users. Accident prevention measures, such as uniform registration of licenses, the implementation of quasi-drive systems, improvements of the riding environment, enhancements of safety awareness and training, are considered effective measures for preventing e-bike accidents and protecting the traffic safety of users. Finally, in view of the shortcomings of the current research, the authors point out three research directions that can be further explored in the future. The strong association rules between risky riding behavior and traffic accidents should be explored using big data analysis. The relationships between risk awareness, risky cycling, and traffic accidents should be studied using the scales of risk perception, risk attitude, and risk tolerance. In a variety of complex mixed scenes, the risk degree, coupling characteristics, interventions, and the coupling effects of various combination intervention measures of e-bike riding behaviors should be researched using coupling theory in the future.

Investigating Emirati citizens’ adoption of e-government services in Abu Dhabi using modified UTAUT model

2018 ◽  
Vol 31 (2) ◽  
pp. 455-481 ◽  
Author(s):  
Khaled Ahmed Al Mansoori ◽  
Jawahitha Sarabdeen ◽  
Abdel Latif Tchantchane
Keyword(s):  
United Arab Emirates ◽  
Structural Equation ◽  
Public Services ◽  
Positive Influence ◽  
Abu Dhabi ◽  
Content Type ◽  
Government Services ◽  
Utaut Model ◽  
Abu Dhabi Emirate ◽  
The Government

Purpose E-government is new to the public administration sector of Abu Dhabi and it is rapidly expanding. The purpose of this paper is to explore the factors that might motivate citizens to adopt the e-government public services provided by the Government of Abu Dhabi Emirate. The insights of the study will help government leaders to plan the delivery of public services effectively. Design/methodology/approach The study surveyed 638 United Arab Emirates (UAE) citizens living in three main districts of the Abu Dhabi Emirate. The research used an exploratory factor analysis that conforms the validity of the theoretical model to the data collected, confirmatory analysis to extract the latent factors and both multiple regression and structural equation modelling to test the research hypotheses. Findings The finding revealed that internet trust and performance expectancy was the strongest predictors of intention to use e-government services. Effort expectancy, facilitating conditions and trust had a positive influence on behavioural intention (BI). However, social influence (SI) did not have a significant effect. Gender, age and experience did not affect the relationship between SI and BI. It was also found that BI to use e-government services had a significant influence on the actual use of e-government sites. Practical implications When the government gets to know the major factors that affect the adoption of e-government services in Abu Dhabi, it can maximise its returns on ICT infrastructure investments by providing efficient service that could be adopted by the citizens. Originality/value The research has theoretical and practical value. Though the unified theory of acceptance and use of technology (UTAUT) model has previously been used in organisational settings, the present study uses a modified version in the context of citizens’ acceptance and use of e-government services. The present study thus provides an extension of the UTAUT model that could be suitable for developing countries such as the UAE.

Measuring the Big Five in Self-Report and Other Ratings

2000 ◽  
Vol 16 (1) ◽  
pp. 31-43 ◽  
Author(s):  
Claudio Barbaranelli ◽  
Gian Vittorio Caprara
Keyword(s):  
Big Five ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Error Variance ◽  
The Self ◽  
Self Report ◽  
Sources Of Information ◽  
Third Person ◽  
Fit Indexes ◽  
Response Modes

Summary: The aim of the study is to assess the construct validity of two different measures of the Big Five, matching two “response modes” (phrase-questionnaire and list of adjectives) and two sources of information or raters (self-report and other ratings). Two-hundred subjects, equally divided in males and females, were administered the self-report versions of the Big Five Questionnaire (BFQ) and the Big Five Observer (BFO), a list of bipolar pairs of adjectives ( Caprara, Barbaranelli, & Borgogni, 1993 , 1994 ). Every subject was rated by six acquaintances, then aggregated by means of the same instruments used for the self-report, but worded in a third-person format. The multitrait-multimethod matrix derived from these measures was then analyzed via Structural Equation Models according to the criteria proposed by Widaman (1985) , Marsh (1989) , and Bagozzi (1994) . In particular, four different models were compared. While the global fit indexes of the models were only moderate, convergent and discriminant validities were clearly supported, and method and error variance were moderate or low.

Collective Efficacy and Organizational Commitment in an Italian City Hall

2009 ◽  
Vol 14 (4) ◽  
pp. 363-371 ◽  
Author(s):  
Laura Borgogni ◽  
Silvia Dello Russo ◽  
Laura Petitta ◽  
Gary P. Latham
Keyword(s):  
Organizational Commitment ◽  
Collective Efficacy ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Practical Significance ◽  
City Hall ◽  
Italian City ◽  
Public Sector Managers ◽  
The Individual ◽  
Level Group

Employees (N = 170) of a City Hall in Italy were administered a questionnaire measuring collective efficacy (CE), perceptions of context (PoC), and organizational commitment (OC). Two facets of collective efficacy were identified, namely group and organizational. Structural equation models revealed that perceptions of top management display a stronger relationship with organizational collective efficacy, whereas employees’ perceptions of their colleagues and their direct superior are related to collective efficacy at the group level. Group collective efficacy had a stronger relationship with affective organizational commitment than did organizational collective efficacy. The theoretical significance of this study is in showing that CE is two-dimensional rather than unidimensional. The practical significance of this finding is that the PoC model provides a framework that public sector managers can use to increase the efficacy of the organization as a whole as well as the individual groups that compose it.

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