Saudi Cultural Missions Theses & Dissertations
Permanent URI for this communityhttps://drepo.sdl.edu.sa/handle/20.500.14154/10
Browse
3 results
Search Results
Item Restricted Ontology of Informal Settlements in Riyadh, Saudi Arabia with Geospatial Intelligence(Curtin University, 2024-05) Alrasheedi, Khlood Ghalib; Dewan, Ashraf; El-Mowafy, AhmedAny management policies developed for managing the urban growth of a city, and to ensure the sustainability of that growth into the future, must understand the spatial distribution of informal settlements found within the city boundaries. These settlement types can be found in a large number of metropolitan areas around the world. Accurate identification requires an understanding of the various characteristics which tend to be associated with these settlement areas, including the types of materials used in building construction and the unique street patterns found within the settlement neighbourhoods. Due to the dynamic nature of these settlements, however, the existence of a universally-accepted framework which can be used to define and map these areas is lacking. This study aims to integrate local knowledge, remote sensing data, and machine learning to investigate and develop an informal settlements ontology for use within the Arabian Peninsular region. Information used included very high to medium resolution satellite images, field surveys, expert opinion regarding local conditions, and a wide range of geographic data. Object-based image analysis (OBIA), machine learning methods such as random forest (RF), and support vector machine (SVM), expert knowledge, and various geographic datasets were employed to identify the distribution of informal settlements over time and space within Riyadh, the capital city of Saudia Arabia. Many variations in settlement character can be found, so the development of a local ontology of informal settlements (LOIS) has been proposed. The major findings of the current work are: (i) the inclusion of local expert knowledge (EK) about the various spatial, spectral and textural image attributes identified, can enhance the identification of informal settlements over time and space; (ii) a combination of OBIA-RF and OBIA-SVM, augmented by local knowledge, can improve the image-based classification of informal settlements, and; (iii) the approach taken, involving the selection of thirty unique geospatial indicators, was found to be very useful in the study of informal settlements over time, particularly when processing the very high and medium resolution satellite images in tandem with the Landtrend tool. The efficacy of the proposed approach, in regards detailing the spatiotemporal growth of identified areas, was shown by the accuracy of the mapping result outputs. The findings of this work may prove to be of value to urban planners and decision-makers when designing and constructing new infrastructure (roads, water, and energy plants), and when assessing the potential for any adverse environmental, social, or financial impacts associated with informal settlements - specifically within the Arabian Peninsula, but also in other regions of the world with similar characteristics.159 0Item Restricted Evaluating Supply Chain Resilience within Fast Moving Consumable Goods Distribution Companies: A Case Study Approach(University of Dundee, 2024-01-29) Aljohani, Malak; Johnston, KeithThe aim of this thesis is to investigate the supply chain resilience of Fast-Moving Consumable Goods FMCG distribution companies in KSA. With the increased complexity of the business, companies showed interest in adopting proactive risk management strategies such as Supply Chain Resilience. This thesis begins by presenting the methodology of selecting the most suitable resilience assessment tool for the FMCG distribution company supply chain by using the Analytic Hierarchy Process (AHP) decision-making methodology. Based on criteria such as Usability, Adaptability, and Completeness, the result reveals that one optimal choice. The chosen assessment tool was applied to a case study of an FMCG distribution company in Saudi Arabia. The Findings indicate that the tool effectively offers a preliminary evaluation of supply chain resilience for the company. The factors used to assess resilience were Supply chain design, supplier-related factors, relational competencies, physical capital resources, and human capability resources. with some limitations and need for improvement such as the lack of standard metrics for parameters. The case study result concluded that the supply chain resilience of FMCG distribution company has a limited capability to enhance the resilience in the supplier-related factors. According to the used assessment tool in this thesis, an FMCG distribution company can reach 82 % overall resilience at maximum. While rooted in a specific case study, the finding offers insights applicable to the broader FMCG distribution industry. Additionally, this thesis contributes to the existing literature by spotlighting supply chain resilience assessment tools. It recognizes limitations in factors' weighting assumptions and interdependency considerations, which could influence assessment accuracy.29 0Item Restricted AN INTEGRATED GIS APPROACH FOR IDENTIFYING THE SPATIAL DISTRIBUTION OF HEALTH FACILITIES/HOSPITALS AND NEW HEALTH FACILITIES/HOSPITAL SITES IN RIYADH(Saudi Digital Library, 1985-11-23) Algarni, Saad; Humphrey, SouthallOver the past few years, Riyadh, the capital of Saudi Arabia, has undergone substantial urbanization and witnessed a notable surge in its population. This urban expansion has given rise to an increasing demand for critical amenities, particularly healthcare facilities, including hospitals. In response to this pressing issue, this research employs advanced Multicriteria Decision Analysis (MCDA) techniques as Analytical Hierarchy Process (AHP) to tackle the complex task of identifying suitable locations for establishing healthcare facilities, with a specific focus on hospitals, within the city of Riyadh. Leveraging the capabilities of Geographic Information System (GIS) technology, this study delves into an in-depth analysis of significant environmental, topographic, and geodemographic factors. The objective is to comprehensively assess the existing distribution of healthcare facilities within the city and subsequently propose strategically optimized hospital site locations. GIS plays a central role in the realm of spatial planning, serving as a powerful tool for equitable resource allocation while taking into account a multitude of influencing variables. The research begins by constructing a comprehensive geodatabase, integrating data pertaining to the current healthcare facilities present in Riyadh. Through a meticulous spatial analysis of the prevailing distribution of healthcare amenities, we engage in population density calculations to identify areas that are underserved. Our findings illuminate a direct positive correlation between population density and the presence of healthcare facilities, underscoring the pressing need for enhanced accessibility. A thorough suitability analysis is then undertaken, with a particular emphasis on identifying prime sites for the establishment of new healthcare facilities, particularly hospitals. Our results indicate that regions in the east, south, and central areas of Riyadh exhibit a notable deficit in terms of healthcare infrastructure. In summary, this research culminates in the creation of a detailed map that highlights the most suitable locations for the establishment of new healthcare facilities, including hospitals, within Riyadh city. By addressing the spatial distribution of healthcare facilities, this initiative aims to foster improved accessibility, bolster public welfare, and contribute significantly to the sustainable growth and development of Riyadh city, ultimately enhancing the quality of life for its residents. Keywords: MCDA, AHP, GIS spatial analysis, optimal site selection.17 0