Assessing Neighborhood Satisfaction and Social Capital in a Multi-Cultural Setting of an Abu Dhabi Neighborhood

Severity of vehicle-to-vehicle accidents in the UAE: An exploratory analysis using machine learning algorithms

The World Health Organization (WHO) identifies road traffic injuries as a global health problem. The Eastern-Mediterranean region is particularly suffering from low traffic safety levels, recording the third highest death per capita ratio in the world. It is critical to evaluate and understand the causes of crashes and their severity levels as a first step to devising policies that aim to reduce these causes. Previous studies examining the frequency or severity of crashes present important limitations that motivate the need for the current work. While these studies have investigated the relation of contributing factors to severity of crashes, not until recently the importance of these factors are bring investigated. Even then, less research have explored various Machine Learning models and none in the middle-eastern region. This is critical because the WHO report concludes that the chances of dying in a traffic crash in this region are second only to Africa per 100000 population. This is a first study analyzing the severity of vehicle-to-vehicle crashes among drivers in the United Arab Emirates. Traffic Crash Data was obtained from the Abu Dhabi Police, which consisted of 11,400 observations during the period 2014-2017. Machine learning algorithms, including gradient boosting (GB), support vector machines (SVM), and random forest (RF), were trained and tested to predict crash severity and extract (using feature analysis) its determinants. The models were evaluated using two performance metrics: prediction accuracy and F1-scores. The RF model outperformed both GB and SVM, with the confusion matrix of RF reporting a better prediction for all four crash severity classes. The feature importance analysis indicates that the age of car, age of the injured, and the age of the initiator have the highest effect on severity, which is an important finding as the listed factors were rarely considered in previous studies. Vehicle and road characteristics such as vehicle class, crash type, and lighting are slightly associated with the severity. Consistent with other studies, gender was the least essential predictor of severity. Recommendations are finally provided to the Abu Dhabi Department of Municipalities and Transport (AD-DMT) authority to guide the development of road safety policies and countermeasures to mitigate the occurrence and severity of crashes.

Determinants of self-efficacy of driving behavior among young adults in the UAE: Impact of gender, culture, and varying environmental conditions in a simulated environment

Research on traffic accidents have acknowledged that human error is the leading cause of road accidents around the world. In the UAE, those aged between 18 and 30 years are involved in the most accidents. As a result, this study examines the perception, attitude and driving behavior of young adults in the UAE. Virtual Reality (VR) was used to examine driving behavior because it offers alternatives to assess driving behavior with a high degree of immersive experience in a safe and replicable environment. Participants drove through a virtual environment that resembled the urban environment of Abu Dhabi in the UAE, which included six traffic events. A sample of 12 females and 27 males also completed a pre and post-simulation questionnaire to report and evaluate their personal driving experience in Abu Dhabi. The volunteer group represented young drivers with limited driving experience and diverse cultural backgrounds. Results indicated that male drivers were less adhering to safe driving behavior compared to females. Even though both males and females exceeded the designated speed limit, males traveled longer distances over the limit. Additionally, it was found that young drivers tend to overestimate their skills with factors like gender, cultural background, and driving experience being key contributors. The results indicate that traffic authorities should take into consideration different approaches in the formulation of policies related to young drivers with periodic reassessment of skills and training to enhance the safety of driving in the UAE and the region.

Analyzing the Housing Consumer Preferences via Analytic Hierarchy Process (AHP) in Dubai, United Arab Emirates

Dubai was one of the top three real estate destinations in the world for investment in 2020. This paper aims to understand the order of preference for various housing determinants by housing consumers in Dubai. As a methodology, a survey was conducted on Dubai residents, and Analytic Hierarchy Process (AHP) was performed to identify the housing determinants and consumers’ preferences. In addition, the respondents’ demographic characteristics identified priorities by income, place of residence, age, gender, and type of house. The results showed that housing consumers place importance on housing price and rent (0.0918), and the investment value (0.0866). However, there was no serious consideration for social and psychological factors, other than safety (0.0730). Regarding gender, men place more importance on the housing price and rent (0.113), and the investment value (0.110). In comparison, women place more importance on factors such as the convenience of transportation (0.104), safety (0.093), and residential environment (0.082). In the age groups, the interest in the educational environment (0.081) among the 40-year-olds was relatively high. In terms of monthly income, the higher the income, the higher the interest in investment value (0.086).

Influence of the Built Environment on Physical Activity Choices among Emirati Male and Female Adolescents: An Examination of Parents’ and Students’ Perceptions

The UN Human Development Report 2020 ranked the United Arab Emirates (UAE) as having achieved ‘very high human development’ and as being at the 31st position among all countries. Despite this, the ever increasing obesity rates among Emirati youth, higher than international standards, is alarming. This research aims at identifying how different perceptions of the built environment by parents and adolescents are likely to affect physical activity (PA) choices among male and female Emirati youth. This can help inform better health and education policies to achieve three of the interconnected UN Sustainable Development Goals (SDGs), namely good quality health and well-being, quality education, and gender equality, that the UAE strives to achieve. Responses from 335 students (aged 14–20) from six schools and 250 parent responses in the Al Ain region of Abu Dhabi Emirate were used to understand the mean variation in perception of five built environment constructs. Further, multinomial logit regression was used to assess the health condition using the perception, behavior, and built environment measures. Results indicate that Emirati males perceive the built environment factors as barriers more than female adolescents. Parents perceive street crossing (p < 0.016) and sidewalk characteristics (p < 0.020) to be more of a hindrance. Traffic exposure, self-reported physical activity, and walkability near homes and schools significantly affect Emirati adolescents’ health conditions. Recommendations are made for various stakeholders including parents, school authorities, Abu Dhabi Municipality and Transportation, and the Urban Planning department on ways to enhance the built environment and encourage PA and well-being of Emirati adolescents.