In sustainable urban planning, finding an optimal location for land use is critical to managing the distribution of land. Therefore, finding a location requires detailed information to conduct a correct evaluation of factors influencing the choice. The purpose of this paper is to find an appropriate site for a police station based on GIS in Alaziziyah Municipality, Jeddah. A novel method is proposed by combing service area analysis and multi-criteria analysis to reduce the emergency response time. The evaluation was conducted based on travel time from the two available police stations in the study area. The ten critical zones were generated by using network analysis with each zone representing one-minute travel time coverage. The critical zones were ranking, and weightage was applied as being crime risk-prone considering the distance from facilities and the travel time. The facilities were categorised into three groups, namely education, health, and tourism services. A suitability map was created to determine the priorities of alternative locations and the highly suitable area was overlaid with aerial photograph to determine land availability. The facility location-allocation was used to select the best location for setting up a police station. This approach revealed optimal solutions for government or planners as they seek to make the right decision for site selection.

Soil erosion poses a significant threat to natural resources and agricultural productivity in arid regions. This study applied the Revised Universal Soil Loss Equation (RUSLE) model to simulate rainfall erosivity and soil erosion risk in the Wadi Allith basin, Saudi Arabia, using rainfall data from 2016 to 2018. The results demonstrated that the basin experienced a predominant slight level of erosion risk, with around 5 tons/ha annually. This study revealed that a very slight erosion risk was predominant in 2016 (97% of the basin area), 2017 (96%), and 2018 (95%), while less than 1% of the study area was exposed to severe erosion risks across all three years. An increasing trend in erosion severity was observed between 2016 and 2018, correlating with rising average annual rainfall amounts of 120 mm, 145 mm, and 155 mm. This underscores the importance of understanding how climatic factors influence soil stability, particularly in arid regions where water scarcity is typically a limiting factor. The successful application of Geographic Information Systems (GISs) and remote sensing tools integrating the various components of the RUSLE model showcases the effectiveness of these technologies in environmental monitoring and risk assessment. These tools facilitate a comprehensive analysis of the factors contributing to soil erosion, enabling researchers and policymakers to visualize erosion risk across the basin and prioritize areas for intervention. This study highlights the importance of ongoing soil erosion monitoring in arid environments such as the Wadi Allith basin, Saudi Arabia.

This study presents a robust framework for optimizing the site selection of Electric Vehicle Charging Stations (EVCS) in Qatar by integrating a Geographic Information System (GIS) with a Multi-Criteria Decision-Making (MCDM) model. The core innovation lies in the enhancement of the conventional Analytic Hierarchy Process (AHP) with a Removal Sensitivity Analysis (RSA). This unique integration moves beyond traditional, subjective expert-based weighting by introducing a transparent, data-driven methodology to quantify the influence of each criterion and generate objective weights. The Analytic Hierarchy Process (AHP) was used to evaluate fourteen criteria related to accessibility, economic and environmental factors that influence EVCS site suitability. To enhance robustness and minimize subjectivity, a Removal Sensitivity Analysis (RSA) was applied to quantify the influence of each criterion and generate objective, data-driven weights. The results reveal that accessibility factors, particularly proximity to road networks and parking areas exert the highest influence, while environmental variables such as slope, CO concentration, and green areas have moderate but spatially significant impacts. The integration of AHP and RSA produced a more balanced and environmentally credible suitability map, reducing overestimation of urban sites and promoting sustainable spatial planning. Environmentally, the proposed framework supports Qatar’s transition toward low-carbon mobility by encouraging the expansion of clean electric transport infrastructure, reducing greenhouse gas emissions, and improving urban air quality. The findings contribute to achieving the objectives of Qatar National Vision 2030 and align with global efforts to mitigate climate change through sustainable transportation development.

Soil erosion represents a critical threat to natural resource sustainability in arid environments, yet validation of empirical models in hyper-arid watersheds remains limited. This study employs the Revised Universal Soil Loss Equation (RUSLE) integrated with Geographic Information Systems (GIS) and remote sensing to quantify rainfall erosivity and erosion risk dynamics in Wadi Allith basin, Saudi Arabia, across 2016–2018. RUSLE factors, rainfall erosivity (R), soil erodibility (K), slope length-steepness (LS), cover management (C), and support practices (P) were derived from WorldClim precipitation data, FAO-UN Soil Map, SRTM digital elevation model, and Landsat-derived NDVI. Results reveal a pronounced orographic gradient in rainfall erosivity, increasing 29 % from 2016 (120 mm yr ⁻¹ ) to 2018 (155 mm yr ⁻¹ ), with high-erosivity zones expanding from 15 % to 35 % of basin area. Despite this intensification, the basin maintains predominantly “slight” erosion risk (ERC 1–2, 10. This demonstrates that while low-gradient topography provides a geomorphic buffer, climate-driven erosivity increases threaten to breach critical erosion thresholds. The successful application of open-source GIS tools confirms cost-effective scalability for long-term monitoring in data-scarce arid regions. These findings inform targeted conservation strategies and highlight the urgency of climate-adaptive soil management in the Arabian Peninsula’s vulnerable dryland watersheds.