Failaka Island, located in the far east of Kuwait Bay about 20 km from the State of Kuwait’s coast, represents a focal point for regional geography and history, including natural wonders and archaeological sites dating to the Bronze, Iron, Hellenistic, Christian and Islamic periods. According to environmental data and in coordination with local authorities to develop an urban plan, the island is set to become the first tourist destination for the State of Kuwait. To achieve the Vision of Kuwait 2035, one of the planning objectives centers on Urban Planning for the Establishment of Environmental Cities that Achieve (UPEECA) environmental sustainability criteria. The article then, aims to propose the environmental urban plan for Failaka Island. Based around Environmental Analytical Hierarchical Processes (EAHP) and using the Field Calculator and ModelBuilder functions in ArcGIS, this research centers on the feasibility of carrying out an urban plan using suitability modeling that incorporates 4 factors and 13 criteria covering the island’s ecological and human composition. This study utilizes both remote sensing (Unmanned aerial vehicles UAVs for 3D imaging) and field study (ground truthing) to identify changes in land use and land cover—such as using sample analysis of the historical sites and soils for tracing evidence and creating/updating a soil map—and create the first geographic information systems (GIS) database for the island that can lead capable of generating a suitability model.

Researchers have developed various approaches for exploring the spatial information, temporal patterns, and Twitter content in topics of interest in order to generate a better understanding of human behavior; however, few investigations have integrated these three dimensions simultaneously. This study analyzes the content of tweets in order to conduct a spatiotemporal exploration of the main topics of interest in Kuwait in order to provide a deeper understanding of the topics people think about, when they think about them, and where they tweet about them. To this end, we collect, process, and analyze tweets from nearly 120 areas in Kuwait over a 10-month period. The study’s results indicate that religion, emotions, education, and public policy are the most popular topics of interest in Kuwait. Regarding the spatiotemporal analysis, people post more tweets regarding religion on Fridays, a holy day for Muslims in Kuwait. Moreover, people are more likely to tweet about policy and education on weekdays rather than weekends. In contrast, people tweet about emotional expressions more often on weekends. From the spatial perspectives, spatial clustering in topics occurs across the days of the week. The findings are applicable to further topic analysis and similar research in other countries.

Failaka Island, located in the far east of Kuwait Bay, is about 20 km from the State of Kuwait’s coast, and represents a focal point for regional geography and history, with pristine beaches and archaeological sites dating to the Bronze, Iron, Hellenistic, Christian and Islamic periods. According to environmental data and in coordination with local authorities to develop an urban plan, the island is set to become the first tourist destination for the State of Kuwait. To achieve the Vision of Kuwait 2035, one of the planning objectives focuses around Urban Planning for the Establishment of Environmental Cities that Achieve (UPEECA) environmental sustainability criteria. The paper then, aims to propose the environmental urban plan for Failaka Island. Based around Environmental Analytical Hierarchical Processes (EAHP), and using the Field Calculator and ModelBuilder functions in ArcGIS, this research centres on the feasibility of carrying out an urban plan using suitability modelling that includes four factors and 13 criteria covering the island’s ecological and human composition. This study utilizes both remote sensing (UAVs for 3D imaging) and field study (ground truthing) to identify changes in land use and land cover – such as using sample analysis of the historical sites and soils for tracing evidence and creating/updating a soil map – and create the first GIS database for the island that can lead to generating a suitability model.

Objectives: The main objective of this study is to investigate the spatiotemporal distribution of traffic accidents in Kuwait relying on the quantitative approach represented by spatial analysis. Method: The study relied on the statistical approach for traffic accidents, where the data were analyzed using a variety of GIS statistical tools including Global Moran’s I to detect spatial autocorrelation and Kernel Density Estimation to identify hot spots. Results: The results were that accidents are concentrated in certain districts, such as Al-Ahmadi and Al-Jahra. Also, the frequency of accidents was higher during the afternoon period during the study area. Further studies should contemplate correlation analysis between rates and counts of accidents with road features as well as age as a factor in the causation of these accidents. Conclusion: It is expected that this study will help decision-makers to improve road safety and attempt to develop modern traffic strategies that reduce the number of traffic accidents in areas with high concentration.