Cities are facing significant challenges related to climate change, particularly due to the increasing impact of the Urban Heat Island (UHI) phenomenon. The present study investigated the UHI phenomenon at the microscale in Annaba, Algeria. The research involved a multi-step approach, starting with on-site measurements of urban microclimate parameters, performed in downtown Annaba on 6 July 2023. The UHI intensity was quantified by comparing city-measured temperatures with rural surroundings. Thermal imaging is then used to empirically identify the contributing factors to UHI initiation at the microscale. The study employed the ENVI-met model to analyse mitigation strategies, manipulating parameters for six scenarios including the current design of the study area. Outputs were used to assess the impact of these strategies on air temperature, mean radiant temperature, relative humidity, and wind speed. The findings revealed an intense UHI effect in Annaba city with a peak difference of 6.9 °C, with practical implications for buildings, ground and roads, vehicles, air conditioners, and specific facade materials. Introducing urban vegetation, particularly urban trees and green roofs, proved highly effectiveness in mitigating the UHI in downtown Annaba. Urban trees demonstrated the most substantial impact, reducing temperatures by 1.9 °C at 1 p.m., while green roof temperature reductions ranged from 0.1 °C to 2 °C.

Type-2 diabetes is a growing lifestyle disease mainly due to increasing physical inactivity but also associated with various other variables. In Saudi Arabia, around 58.5% of the population is deemed to be physically inactive. Against this background, this study attempts explore the spatial heterogeneity of Type-2 diabetes prevalence in Jeddah and to estimate various socio-economic and built environment variables contributing to the prevalence of this disease based on modelling by ordinary least squares (OLS), weighted regression (GWR) and multi-scale geographically weighted (MGWR). Our OLS results suggest that income, population density, commercial land use and Saudi population characteristics are statistically significant for Type-2 diabetes prevalence. However, by the GWR model, income, commercial land use and Saudi population characteristics were significantly positive while population density was significantly negative in this model for 70.6%, 9.1%, 26.6% and 58.7%, respectively, out of 109 districts investigated; by the MGWR model, the corresponding results were 100%, 22%, 100% and 100% of the districts. With the given data, the corrected Akaike information criterion (AICc), the adjusted R2, the log-likelihood and the residual sum of squares (RSS) indices demonstrated that the MGWR model outperformed the GWR and OLS models explaining 29% more variance than the OLS model, and 10.2% more than the GWR model. These results support the development of evidence-based policies for the spatial allocation of health associated resources for the control of Type-2 diabetes in Jeddah and other cities in the Arabian Gulf.

This study sought to enhance the planning process of housing projects in Riyadh, Saudi Arabia by measuring residential satisfaction. To achieve this goal, the study conducted a survey of 3,568 household heads in four public housing projects and analyzed 342 responses using descriptive statistics. The survey consisted of forty-three indicators across six dimensions: residents' demographics, housing, social environment, physical environment, accessibility to services, and efficiency of services. The results of the survey revealed that while 49.6% of the residents were satisfied with their social relationships with neighbors, friends, and family, 59.4% of respondents were unsatisfied with the sense of safety and security within the projects, 78.7% were dissatisfied with housing project management, 68.8% with the physical environment, and 76.9% with access to public facilities such as mosques, schools, health and commercial centers, workplaces, relatives' homes, and the efficiency of housing project services was dissatisfied rated at 77.5%. Overall, the majority of respondents expressed dissatisfaction with the housing projects as a place to live. To address these findings, the study developed a conceptual framework and approach based on residents' satisfaction as a means of improving the planning and design of housing projects in Saudi Arabia. The study also reviewed best practices for planning housing projects worldwide to inform the conceptual framework and approach. These findings and suggestions can inform future efforts to improve the residential satisfaction of housing projects in the Kingdom of Saudi Arabia.

This study discusses the ethical use of geographical information systems (GIS) data with a focus on geomasking for upholding locational privacy. As part of a pilot study in Jeddah City, Saudi Arabia, we used open-source geomasking methods to ensure geoprivacy while examining built environment features that determine the quality of life among individuals with type-II diabetes. We employed the open-source algorithms Maskmy.XYZ and NRand-k for geomasking 329 data points. The results showed no differences between global and city-level spatial patterns, but significant variations were observed with respect to local patterns. These findings indicate the promising potential of the chosen geomasking technologies with respect to ensuring locational privacy but it was noted that further improvements are needed. We recommend developing enhanced algorithms and conducting additional studies to minimize any negative impact of geomasking in spatial analysis with the overall aim of achieving a better understanding of ethical considerations in GIS sciences. In conclusion, application of geomasking is straightforward and can lead to enhanced use for privacy protection in geospatial data analysis.