Saudi Cultural Missions Theses & Dissertations
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Item Restricted Reviving and developing of urban spaces to establish smart child-friendly environment: An application of vision 2030 in the Kingdom of Saudi Arabia(2024) AlAbdullah, Mashaer; Serag, M.El-Sayed Abd allah; Hebah, Khaled MahmoudA decrease in direct interaction between children and their surroundings world, which is conducive to both learning and play, has resulted from the rapid development of technology. Children have a preference for remaining indoors and utilizing smart applications to avoid interacting with the outside world. Furthermore, an observation made by the researcher during the rehabilitation of outdoor open spaces reveals a dearth of appealing outdoor educational entertainment choices in the Kingdom of Saudi Arabia. This study investigates how, by incorporating the nine types of intelligence and using artificial intelligence applications and geographic information systems software, it may develop public open spaces places for children based on David Sobel's principles with the goal of achieving the objectives specified in Vision 2030, in addition to in addition to highlight the relevance of urban development in the management of urban growth, its role in ensuring that cities are sustainable, efficient, and liveable, and the impact of this process, Through Studying the previous studies in this field and Analysing the current situation of parks in eastern region of Saudi Arabia and compare it to the best practice examples and gathering information and needs from children through questionnaire and workshops to propose smart urban Applications to implement in public open spaces in Saudi Arabia.The Research mainly aim to to improve and enhance public urban spaces for children by incorporating smart elements that contribute to improving the quality of life, in line with the 2030 vision in the Kingdom of Saudi Arabia. Additionally, the study aims to identify sustainable urban development principles for creating child-friendly open public spaces in Saudi Arabia, while also addressing the adverse effects of urbanisation on children's mental and physical development. The research methodology involves analysing theoretical studies related to the research topic, using data from academic journals, scientific publications, books, and websites that focus on the child-friendly cities initiative, urban development, and Smart sustainable cities. By utilising data gathered from previous studies, both national and international case studies, analysing the current situation of public open spaces in the eastern region of Saudi Arabia, questionnaires, and workshops specifically designed for children aged 6 to 12, this research aims to address the research problem and related hypotheses and establishing a omprehensive assessment method for analysing child-friendly public open spaces in the Saudi Arabia. The Study Found that reviving and enhancing public open spaces in the Kingdom of Saudi Arabia contributes to the creation of a smart and child-friendly environment, aligning with the goals of Vision 2030. This initiative aims to improve the quality of life in urban areas in Saudi Arabia, in accordance with Sustainable Development Goal 11, which focuses on creating sustainable cities and communities. Also, The Study Found that Urban development and urbanisation are essential for fostering economic growth, promoting innovation, and enhancing the quality of life. Sustainable smart cities encompass the integration of technology, environmental care, and social equality. These cities employ data-driven decision-making and innovative solutions to optimise resource utilisation, increase public services, and promote the well-being of their citizens. Finally, the research recommends utilising the criteria for evaluating cities that are suitable for children, to examine the quality of public open spaces in the Kingdom of Saudi Arabia. Additionally, a comprehensive development plan should be produced based on the principles of Universal design, Also, using Smart Application and virtual reality technology to create inclusive spaces for children in alignment with the ongoing initiative to develop eco-friendly smart cities, Implementing the principle of community participation through the establishment of memorandums of understanding to provide training for Eastern Region Municipality employees responsible for enhancing the city's urban landscape, in partnership with relevant stakeholders, with the aim of creating suitable designs for children in public urban areas and Revising the existing urban code to incorporate the requirements of children in public areas, therefore promoting the growth of an aware and well-being-oriented generation.72 0Item Restricted Developing Smart Cities in Saudi Arabia. promoting innovation and evaluating smart initiatives. The case study of Jeddah city, Saudi Arabia.(University of Aberdeen, 2024-06-24) Almaghrbi, Rayan; Philip, Lorna; Beecroft, MarkTo date, the main focus of Smart City development has been in North America and Western Europe. The development of Smart Cities in other geographies has received more limited attention. This study seeks to help address this imbalance by focusing on the development of Smart Cities in the context of Gulf Cooperation Council (GCC) countries, with a focus on Saudi Arabia and the city of Jeddah in particular. By focusing upon a single city case study, the research explores how related Smart City technologies are being used, seeks to understand the implications these have for planning policies and municipal activities, and elicits information from the public about their views of Smart City developments. The study aims to contribute to the emerging literature on Smart City development, paying particular attention to the currently understudied area of how such approaches will be impacted by and have impacts upon current and emerging policy drivers in Saudi Arabia, such as Saudi Vision 2030. Primary data collection was undertaken in two distinct phases. Firstly, semi-structured interviews were conducted with a range of national and municipal-level stakeholders representing public and private sector interests. Secondly, a questionnaire survey, administered online, elicited attitudes and opinions about Smart Cities and their development in Saudi Arabia from a sample of the city of Jeddah’s resident population. The study revealed that Jeddah's smart practices show a real commitment to Smart Cities concept. Significant attention has been given to smart initiatives in relation to governance, environment, living, and economy, but smart mobility and community participation require more work. The study concluded with a list of recommendations designed to provide guidance for Jeddah's promotion towards becoming a Smart City. These recommendations can be extended to other Saudi and GCC cities.19 0Item Restricted Smart Cities as Alternative Digital Solutions for a More Sustainable Liveable Future at the Urban Level in the UK and Europe(Saudi Digital Library, 2023-12-06) Alkahtany, Faisal; Kao, Ping-JenThe current study specifically focuses on exploring the potential of sensors used in smart cities, which is an alternative digital solution, and how using sensors in smart cities can ensure a sustainable, liveable future at the urban level of the UK and Europe and the fundamental difference between Smart cities and typical cities.18 0Item Restricted Cybersecurity Practices, Challenges and Applications in Saudi Smart Cities: Developing and Testing Extended UTAUT3 Model Using Multi-stage Samplings(Saudi Digital Library, 2023-12-04) Alhalafi, Nawaf Hamdan T; Veeraraghavan, PrakashThe Kingdom of Saudi Arabia has been making significant progress towards developing intelligent cities, with projects such as NEOM and Riyadh City. Therefore, this study investigates the challenges and factors influencing the adoption of cybersecurity practices in smart cities within the Kingdom of Saudi Arabia using the cybersecurity-based Unified Theory of Acceptance and Use of Technology (UTAUT3) framework. In four phases, the study initially collected insights from the public and IT professionals through pre-test surveys to identify key challenges in cybersecurity adoption. The study then conducted a second survey to refine the UTAUT3 model in line with the unique cybersecurity challenges experienced in smart Saudi cities. This allowed exploring the economic, social, and cultural factors affecting cybersecurity implementation. Economic factors included privacy design and cyber threat intelligence; social factors covered digital trust and resilience; and cultural factors focused on cybersecurity competency and awareness. In the third phase, the study validated the extended UTAUT3 model, assessing the suitability of data for analysis and evaluating the reliability and validity of the measurement constructs. The aim was to enhance understanding of the factors impacting cybersecurity adoption, ensuring that the extended model is useful for future research and policy development. In the final phase, post-testing was conducted to measure behavioural intentions in adopting cybersecurity practices. Results showed that factors such as performance expectancy, effort expectancy, social influence, facilitating condition, and various attributes of cybersecurity (resilience, safety, confidentiality, availability, and integrity) positively influence the behavioural intention to adopt cybersecurity. Multi-group analysis revealed differences between IT professionals and the general public in the behavioural intention of adopting cybersecurity in smart cities. This study contributes significantly to understanding cybersecurity adoption in smart cities, providing valuable insights for future interventions or policies. It underscores the need to consider group differences when promoting cybersecurity adoption to ensure effective outcomes.63 0Item Restricted Environmental Influences on Food Access And Their Impacts in Turn on Health Conditions in Guilford County, NC(2023-02-24) Almalki, Abrar; Gokaraju, BalakrishnaFood access is a major key component in food security, as it is every individual’s right to proper access of nutritious and affordable food supply. Low access to healthy food sources influences people's diet and activity habits. Guilford County in North Carolina has a high ranking in low food security, and a high rate of health issues, such as high blood pressure, high cholesterol, and obesity. Therefore, the primary objective of this study was to investigate the geospatial correlation between health issues and food access areas. The secondary objective was to quantitatively compare food access areas and heath issues’ descriptive statistics. The tertiary objective was to compare several machine learning techniques and find the best model that fits health issues against various food access variables with the highest performance accuracy. In this study, we adopted a food-access perspective to show that communities, where residents had equitable access to healthy food options, were typically less vulnerable to health-related disasters. We proposed a methodology to help policymakers toward lowering the amount of health issues in Guilford County by analyzing them via correlation with respect to food access. Specifically, we conducted a geographic information system mapping methodology to examine how access to healthy food options influenced health and mortality outcomes in one of the largest counties in the state of North Carolina. We created geospatial maps representing food deserts, i.e., areas with scarce access to nutritious food; food swamps, i.e., areas with more availability of unhealthy food options compared to healthy food options; and food oases, i.e., areas with relatively higher availability of healthy food options than unhealthy. Our results presented a positive correlation coefficient with R2= 0.819 among Obesity and independent variables, transportation access, income, and population. The correlation coefficient matrix2 analysis helped to identify a strong negative correlation between obesity and median income. Overall, this study offers valuable insights that can help health authorities develop preemptive preparedness for healthcare disasters. COVID-19, or SARS-CoV-2, is considered as one of the greatest pandemics in our mod-ern time. It affected people’s health, education, employment, the economy, tourism, and trans-portation systems. It will take a long time to recover from these effects and return people’s lives back to normal. The main objective of this study is to investigate the various factors in health and food access, and their spatial correlation and statistical association with COVID-19 spread. The minor aim is to explore regression models on examining COVID-19 spread with these variables. To address these objectives, we are studying the interrelation of various socio-economic factors that would help all humans to better prepare for the next pandemic. One of these critical factors is food access and food distribution as it could be high-risk population density places that are spreading the virus infections. More variables, such as income and people density, would influence the pandemic spread. In this study, we produced the spatial extent of COVID-19 cases with food outlets by using the spatial analysis method of geographic information systems. The methodology consisted of clustering techniques and overlaying the spatial extent mapping of the clusters of food outlets and the infected cases. Post-mapping, we analyzed these clusters’ proximity for any spatial variability, correlations between them, and their causal relationships. The quantitative analyses of the health issues and food access areas against COVID-19 infections and deaths were performed using machine learning regression techniques to understand the multi-variate factors. The results indicate a correlation between the dependent variables and independent variables with a Pearson correlation R2-score = 0.44% for COVID-19 cases and R23= 60% for COVID-19 deaths. The regression model with an R2-score of 0.60 would be useful to show the goodness of fit for COVID-19 deaths and the health issues and food access factors.24 0