Search Results (135)

Fine particulate matter (PM_2.5) poses major public health and environmental threats due to its capacity to enter deep respiratory passages and degrade urban air quality. In the Kingdom of Saudi Arabia (KSA), cities such as Riyadh, Dammam, and Jeddah show an elevated level of PM_2.5 due to rapid urban growth, dense traffic activity, and wide industrial operations. This study proposes a hybrid Variational Mode Decomposition–Bidirectional Gated Recurrent Unit (VMD–BiGRU) framework for multi-horizon PM_2.5 forecasts based on daily data from January 2022 to September 2024. The daily PM_2.5 series was split through VMD into Intrinsic Mode Functions (IMFs) that represent multi-scale temporal patterns. A seven-day ahead forecast was carried out, and model performance was compared with VMD–GRU, VMD–LSTM, and VMD–TCN. For Riyadh, RMSE values for t + 1, t + 2, and t + 3 were 9.25, 12.26, and 16.05 µg/m³, with R² above 0.90 up to the third day. For Dammam, RMSE values for the same horizons were 4.46, 7.24, and 11.34 µg/m³, and R² remained above 0.90 up to the fourth day. For Jeddah, the corresponding values were 3.97, 6.09, and 9.36 µg/m³, and R² remained above 0.90 up to the fourth day. The hybrid VMD–BiGRU model achieved higher accuracy for short horizons (t + 1 to t + 3). The study establishes a basis that aids short-term PM_2.5 prediction and improves air quality assessment across major urban centers in KSA. Full article

This study explores sustainable urbanism in the three largest Saudi Arabian cities—Riyadh, Jeddah, and NEOM—in the context of Vision 2030. Qualitative methodology was used, which incorporated environmental, social, economic, governance, and mobility aspects. The analysis of ten semi-structured interviews with planners, engineers, and policy officials was based on Strategic Environmental Assessment (SEA), Sustainable Urbanism, and Participatory Governance models. The results indicate that Riyadh presents structural congruence and consistency of policies, Jeddah is characterized by disjointed governance and poor coordination, and NEOM is characterized by futuristic aspirations with unpredictable social inclusiveness. The paper highlights that more powerful integration of governance, participatory planning, and realistic implementation is required to create a balance between technological innovations and equity in society. It adds to the current knowledge of how the global sustainability models can be localized in the fast-changing cities of the Gulf. Full article

Urban heat islands (UHIs) intensify thermal stress in cities, particularly in arid and semi-arid regions undergoing rapid urban expansion. The main objectives of this study are to quantify and compare UHI intensity in six major Saudi Arabian cities (Dammam, Makkah, Madinah, Jeddah, Riyadh, and Abha) representing diverse climatic zones and to examine how UHI patterns vary between urban, suburban, and rural zones over a 30-year period. Understanding the magnitude and spatial variability of UHIs across different climatic settings is crucial for developing effective urban planning and climate adaptation strategies in Saudi Arabia’s rapidly expanding cities. Except for Abha, these cities are the five most populous cities in the Kingdom. Each city was categorized into urban (>1500 people km⁻²), suburban (300–1500 people km⁻²), and rural (<300 people km⁻²) zones using high-resolution population density data. Two independent temperature datasets (ERA5-land and CHIRTS-ERA5) were analyzed for the years 1994, 2004, 2014, and 2024. Both datasets revealed consistent spatial patterns and a general warming trend across all zones and cities over the 30-year period. The UHI effect was most pronounced for minimum temperatures, with urban zones warmer than rural zones by 0.85 °C (ERA5-land) and 1.10 °C (CHIRTS-ERA5), likely due to greater heat retention and slower cooling rates in built-up areas. Mean temperature differences were smaller but still indicated positive UHI. Conversely, both datasets exhibited a reversed UHI pattern for maximum temperatures, with rural zones warmer than urban zones by 1.73 °C (ERA5-land) and 1.52 °C (CHIRTS-ERA5). This reversed pattern is attributed to the surrounding desert landscapes with minimal vegetation, indicated by low normalized difference vegetation index (NDVI), while urban areas have increasingly benefited from greening and landscaping initiatives. City-level analysis showed the strongest reversed UHI in maximum temperatures in Abha, while Jeddah exhibited the weakest. These findings highlight the need for localized urban planning strategies, particularly the expansion of vegetation cover and sustainable land use, to mitigate extreme thermal conditions in Saudi Arabia. Full article

This study examines how green finance drives sustainable economic development in Saudi Arabia, focusing on the Hail region, with comparisons across seven major cities (Riyadh, Jeddah, Mecca, Medina, Dammam, Tabuk, and Taif). Through an XGBoost machine learning approach enhanced by SHAP interpretation, we analyze how Green Finance Investment (IGF), Alternative and Nuclear Energy (ANE), Electricity Access (ATE), and Logarithmic Carbon Emissions (LCDE) influence New Business Registrations (NBR), Employment rates (EM), and Circular Economy outcomes measured via Combustible Renewables and Waste (CRW). Results reveal that ANE is the dominant predictor of employment across all cities, with SHAP values ranging from 76.9% in Hail to 96.6% in Jeddah. Entrepreneurial drivers vary regionally: ANE leads in Riyadh (63.1%) and Jeddah (73.3%), LCDE dominates in Hail (45.0%) and Taif (48.6%), and IGF is primarily evident in Tabuk (39.5%). Model accuracy varies, with RMSE being the highest in Hail (58.97) and lowest in Jeddah (433.86), highlighting structural differences across urban economies. Circular economy pathways diverge between LCDE-driven industrial modernization (e.g., Dammam, 62.9%) and IGF-driven greenfield development (e.g., Tabuk, 81.1%). These findings support a threefold city classification and provide actionable insights into Saudi Arabia’s Vision 2030 implementation. They inform targeted policy interventions, including green infrastructure investments in energy hubs, industrial modernization programs in manufacturing centers, and entrepreneurial financing mechanisms in emerging regions. Full article

Rapid urban growth in Middle Eastern cities has intensified congestion-related challenges, yet traffic data-based decision making remains limited. This study leverages crowd-sourced travel time data from the Google Maps API to evaluate temporal and spatial patterns of congestion across multiple strategic routes in Jeddah, Saudi Arabia, a coastal metropolis with a complex road network characterized by narrow, high-traffic corridors and limited public transit. A real-time Congestion Index quantifies traffic flow, incorporating free-flow speed benchmarking, dynamic profiling, and temporal classification to pinpoint congestion hotspots. The analysis identifies consistent peak congestion windows and route-specific delays that are critical for travel behavior modeling. In addition to congestion monitoring, the framework contributes to urban sustainability by supporting reductions in traffic-related emissions, enhancing mobility equity, and improving economic efficiency through data-driven transport management. To our knowledge, this is the first study to systematically use the validated, real-time Google Maps API to quantify route-specific congestion in a Middle Eastern urban context. The approach provides a scalable and replicable framework for evaluating urban mobility in other data-sparse cities, especially in contexts where traditional traffic sensors or GPS tracking are unavailable. The findings support evidence-based transport policy and demonstrate the utility of publicly accessible traffic data for smart city integration, real-time traffic monitoring, and assisting transport authorities in enhancing urban mobility. Full article

Background: Globally, there is a growing demand for the adoption of electronic health systems and the transition toward digital processes within healthcare organizations. Electronic Medical Records (EMRs) play a vital role in enhancing documentation accuracy, improving healthcare delivery, and minimizing medical errors. However, limited research has explored nurses’ perceptions of EMR effectiveness within Ministry of Health hospitals in Jeddah City. Methods: A quantitative descriptive cross-sectional design was employed in four governmental hospitals affiliated with the Ministry of Health in Jeddah. A convenience sampling technique was used to recruit 911 full-time registered nurses from inpatient and outpatient departments. Data was collected through an electronic self-administered questionnaire evaluating EMR use, system quality, and user satisfaction. Descriptive and inferential statistical analyses were conducted using SPSS version 26. Results: The global EMR score (82%) reflected a high level of acceptance and integration of EMR systems among the nurses surveyed. The use of order entry received the highest mean score (84.8%), indicating that nurses find EMRs particularly effective in streamlining administrative and clinical tasks, such as medication orders and care plans. The strong correlation between system quality and user satisfaction (rs = 0.911) underscores the importance of well-designed EMRs in fostering trust and confidence among clinical users. Conclusions: The findings indicate that nurses perceive EMRs as effective tools for improving documentation, care coordination, and workflow efficiency. This study recommends the establishment of structured feedback mechanisms that enable nurses to report issues, suggest improvements, and share success stories—thereby fostering a culture of continuous system enhancement. Full article

Air pollution is steadily increasing due to industrialization, economic activities, and transportation. High levels pose a significant threat to human health and well-being worldwide. Saudi Arabia is a growing country with air quality indices ranging from moderate to unhealthy. Although there are many monitoring stations distributed throughout the country, mathematical modeling of air pollution is still crucial for health and environmental decision-making. From this perspective, in this study, a data-driven approach based on pollutant records and a Deep Learning (DL) Long Short-Term Memory (LSTM) algorithm is carried out to perform temporal modeling of selected pollutants (PM₁₀, PM_2.5, CO and O₃) based on time series combined with a spatial modeling focused on selected cities (Riyadh, Jeddah, Mecca, Rabigh, Abha, Dammam and Taif), covering ~48% of the total population of the country. The best forecasts were provided by LSTM in cases where the datasets used were of relatively large size. Numerically, the obtained performance metrics such as the coefficient of determination (R²) ranged from 0.2425 to 0.8073. The best LSTM results were compared to those provided by two ensemble methods, Random Forest (RF) and eXtreme Gradient Boosting (XGBoost), where the merits of LSTM were confirmed mainly in terms of its ability to capture hidden relationships. We also found that overall, meteorological factors showed a weak association with pollutant concentrations, with ambient temperature exerting a moderate influence. However, incorporating ambient temperature into LSTM models did not lead to a significant improvement in predictive accuracy. The developed approach can be used to support decision-making in environmental and health domains, as well as to monitor pollutant concentrations based on historical time series records. Full article

Background: Sociodemographic status, dietary intake, and physical activity have been linked to body mass index (BMI) among adolescents. However, there is a scarcity of research investigating these factors in relation to BMI standard deviation score (BMI_SDS) in Saudi Arabia. Therefore, we examined the roles of sociodemographic status, dietary habits, and physical activity in relation to body mass index among Saudi female adolescents aged 11–18 years attending public and private schools in the city of Jeddah. Methods: This school-based cross-sectional study was performed between February and April 2019 in Jeddah. A total of 920 female adolescent students were recruited from both public and private schools. Data was collected using questionnaires conducted via interview as well as anthropometric measurements. Results: About 37.4% (n = 344) of the participants were overweight or obese. The majority of the participants (61.6%, n = 567) had a healthy dietary intake score. More than half of the participants (52.6%, n = 484) had a low physical activity and screen time score, with 36.5% (n = 336) never engaging in ≥60 min of physical activity per day and 61.4% (n = 565) reporting a daily screen time of >4 h. Multivariate logistic regression analysis revealed that students aged over 16 years were less likely to have overweight/obesity compared to those aged <14 years (adjusted odds ratio “aOR” = 0.53; 95% CI: 0.35–0.79, p = 0.002). Participants enrolled in private schools were at higher risk of being overweight/obese compared to those enrolled in public schools (aOR = 1.55; 95% CI: 1.16–2.08, p = 0.003). Adolescent females with daily vegetable intake were less likely than those who never consumed vegetables to be overweight or obese (aOR = 0.47; 95% CI: 0.29–0.77, p = 0.002). However, no associations were found with the other sociodemographic, dietary intake, physical activity, and screen time exposure variables. Conclusions: This study shows a trend of elevated obesity prevalence among Saudi female adolescents in Jeddah, highlighting the need for gender-sensitive, school- and community-based interventions targeting diet, physical activity, and sedentary behavior. To obtain a more comprehensive understanding, studies involving nationally representative samples, encompassing all cities across Saudi Arabia and exploring broader aspects of nutrition and physical activity, are essential. Full article

Cities worldwide face crises like natural disasters, climate change, and infrastructure vulnerabilities, making urban resilience a critical priority. In Saudi Arabia, resilience strategies are being integrated into urban development, including Jeddah, which faces challenges such as flood risks and rapid urbanization. This study develops a framework to assess Jeddah’s resilience, aligning with global initiatives like the SDGs and Saudi Vision 2030. Benchmarking against cities like Barcelona, Tokyo, and Dubai highlights adaptable strategies for Jeddah. The findings offer insights to enhance urban resilience, support sustainable urbanization, and inform policies for Jeddah and other cities globally. Full article

City branding is crucial for shaping urban identity and global stature. Hosting the FIFA World Cup 2034 in Saudi Arabia across Riyadh, Jeddah, Al Khobar, Abha, and Neom offers a chance to infuse ecological, cultural, and aesthetic elements into urban landscapes. This study introduces a hybrid framework for plant scheme design that blends native, adaptive, and ornamental species to enhance biodiversity and visual appeal. It analyzes case studies from Expo 2020 Dubai, Sydney Olympic Park, and Gardens by the Bay, demonstrating how landscape architecture can unite sustainability with cultural and aesthetic values. The application in Saudi Arabia’s cities customizes plant choices to local climates and cultural contexts, with a focus on Al Khobar showing successful integration of coastal resilience and heritage. This approach provides a scalable, scientifically grounded method for incorporating ecological and cultural elements into cityscapes, promoting sustainable urban development during global events. Full article

This study employs Design Builder software to evaluate advanced glazing technologies for enhancing the thermal performance of residential buildings in Jeddah, Saudi Arabia. Recognizing the energy inefficiencies caused by adopting Western architectural styles unsuited to local climatic conditions, and given that buildings consume 44% of national energy, we conducted a systematic parametric analysis to isolate the effects of key glazing parameters. The study examines six polycarbonate (PC) configurations and three critical comparative cases: (1) a selective double-glazed unit representing a new baseline glazing; (2) a low-U configuration to isolate thermal insulation effects; and (3) a low-SHGC configuration to evaluate solar heat gain mitigation independently. These controlled comparisons address a critical research gap by decoupling the traditionally confounded impacts of U-value and SHGC in hot climates. The simulations reveal that the 36 mm aerogel glazing (U = 0.9 W/m²·K, SHGC = 0.3) reduces cooling demand by 48.6% annually compared to single-pane glazing while maintaining indoor temperatures at 30.09 °C versus 38.43 °C at baseline. Notably, the findings demonstrate that 87% of these savings derive from SHGC reduction, with only 3.02 percentage points attributable to U-value improvements. The selective DGU benchmark delivers 85% of aerogel’s benefits at 40% lower cost, establishing it as a practical solution for most applications. These findings provide evidence-based guidance for Saudi Vision 2030’s sustainability goals, emphasizing that while aerogel glazing excels in extreme solar exposures, strategic SHGC optimization in conventional glazing can achieve the most energy savings in hot climates. Full article

Historic districts possess significant cultural value, yet visitors with disabilities, particularly wheelchair users, often encounter substantial barriers to physical access. Previous studies have highlighted a gap in the assessment of walking routes utilized by wheelchair users in these districts. Therefore, this study aims to assess the extent to which historic districts’ walking routes are physically accessible for wheelchair users in the Jeddah Historic District, a UNESCO World Heritage site in Saudi Arabia. As a method, we developed a wheelchair accessibility assessment checklist (consisting of 14 assessment indicators) to evaluate 14 walking routes in the Historic District of Jeddah, accompanied by an observation strategy (consisting of five questions) to understand wheelchair users’ behavior using these routes. Our results reveal that the walking route assessments show inconsistent accessibility for wheelchair users, with the lowest rating for the indicator of route crossing signals, followed by route connectivity, the width of wheelchair parking space, accessibility to surrounding buildings, route crossing treatment, route ramp slope, and route ramp pavement quality. These findings offer valuable insights for local authorities to improve regulations and enforce wheelchair accessibility standards, promoting social sustainability and equal access for all. It also helps to underscore the necessity of prioritizing physical accessibility in the design of urban open spaces within historic districts to improve social sustainability. Ultimately, this study offers a practical and cost-effective method for other similar cities around the world to assess wheelchair inclusion in their cultural heritage sites. Full article

This study investigated the prevalence of water filtration and purification systems [WFPSs] in Jeddah, Saudi Arabia, and the impact of WFPSs on mineral concentrations in tap water. A convenience sample of residents completed a questionnaire on water usage/sources and provided water samples. Water was analyzed [fluoride—ion-specific electrode; metals—atomic absorption spectrometry]. Nonparametric testing was performed to compare mineral concentrations between different water sources, and questionnaire associations underwent correlation tests. Ninety-nine participants completed the study. Sixty percent reported using some type of WFPS. The most used WFPSs were reverse osmosis [RO] systems [62%], followed by whole-house carbon filters [8%] and faucet-mounted filters [6%]. Fluoride concentrations were very low across all WFPSs [all median; RO—0.02 ppm, other WFPS—0.01 to 0.05 ppm] and in unfiltered tap water [0.02 ppm]. RO systems reduced the concentrations of several minerals [magnesium—1.40 ppm, p = 0.006; potassium—0.55 ppm, p = 0.016; sodium—7.88 ppm, p = 0.001] compared to those in unfiltered tap water [magnesium—1.8 ppm; potassium—0.62 ppm; sodium—10.60 ppm]. However, RO systems did not affect calcium concentrations [10.93 ppm] compared to those in unfiltered tap water [11.47 ppm]. Participants with larger households were significantly more likely to use tap water treatment systems [p = 0.002]. The observed reduction in certain mineral concentrations raises concerns about potential nutritional implications. Full article

Energy-efficient building envelope design is essential for minimizing cooling loads and reducing energy consumption, particularly in hot desert climates. This study presents a model that optimizes insulation thickness by taking into account climate-specific conditions and economic factors. The model employs a life-cycle cost analysis framework, incorporating energy savings, insulation costs, and payback periods across various climatic zones. A typical wall is considered with three commonly applied insulation materials. The optimization is validated by energy modeling. A key contribution of this study is the introduction of a correction factor based on average humidity for each city, which adjusts the conduction-based model to account for latent heat effects from moisture-dependent insulation degradation. Unlike existing building codes, which prescribe fixed insulation requirements regardless of regional climate conditions, our approach dynamically adapts insulation thickness based on Cooling Degree Days (CDDs) and economic feasibility. The results reveal significant variations in optimal insulation thickness across different cities, demonstrating the necessity of climate-responsive insulation strategies. The analysis indicates that locations with higher CDD, such as Jeddah and Dhahran, require thicker insulation to reduce cooling loads effectively, whereas cities with lower cooling demand, such as Khamis Mushait, necessitate thinner insulation for economic viability. The results show that polystyrene (K = 0.034 W/m.K) has the least cost, whereas polyurethane (K = 0.24 W/m.K) records the least thickness in Saudi Arabia. This study presents a model that optimizes insulation thickness by taking into account climate-specific conditions and economic factors. Full article

Background/Objectives: The prevalence of Diabetes Mellitus (DM) is a major concern in Saudi Arabia, making it a challenge for health delivery for those with severe mental illness (SMI). This study aims to explore the barriers to access and utilization of diabetes care among patients with diabetes and serious mental illnesses, their relatives, and healthcare providers to provide evidence-based recommendations for health policy improvement. Methods: A qualitative interpretive research design was used via Braun and Clarke’s framework to analyze the data thematically. Semi-structured interviews were conducted with 35 participants, including patients, relatives, and healthcare providers between September and October 2023, in Jeddah city, Saudi Arabia. Results: The following four themes emerged from the qualitative data: (1) The status of integrated care, (2) Barriers to access to diabetes care at different levels, (3) Navigating obstacles to providing comprehensive diabetes care, and (4) Evidence-based recommendations for health policy improvement. Conclusions: This study underscores the necessity for a comprehensive and integrated approach to care, educational programs, specialized clinics, and improved healthcare logistics. Integrating mental health and diabetes management is needed to ensure better utilization. Full article