Saudi Cultural Missions Theses & Dissertations
Permanent URI for this communityhttps://drepo.sdl.edu.sa/handle/20.500.14154/10
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Item Restricted The Role of Oil Prices, and Inflation on Gold Prices in the Middle East(University of Sussex, 2024) Abudawood, Ruwa; Klein, AlexanderThis study investigates the dynamic relationship between oil prices, inflation, and gold prices within the context of Middle Eastern economies. Using advanced econometric techniques, including Vector Error Correction Models (VECM) and cointegration tests, the analysis reveals that fluctuations in oil prices significantly influence gold prices in the region, overshadowing the impact of inflation. Given the heavy reliance of Middle Eastern countries on oil exports, understanding these interconnections is crucial for policymakers, investors, and economic planners. The findings underscore the role of gold as a strategic hedge against oil price volatility and provide actionable insights for improving economic resilience and investment strategies. This research contributes to the broader discourse on commodity markets and macroeconomic stability in oil-dependent regions.7 0Item Restricted AN ECONOMETRIC ANALYSIS OF SHARED MOBILITY(University of Central Florida, 2023-12-15) Alsulami, Nami; Eluru, NaveenThis dissertation conducted an extensive examination of dockless e-scooter dynamics using high resolution trip data from Austin, Texas. Four studies were conducted to capture the multifaceted nature of e-scooter operations and demand. The first study aimed to identify and quantify the influence of contributing factors affecting e-scooter demand by partitioning the data by time period for weekdays and weekends. Utilizing a joint panel linear regression (JPLR) model, significant associations were observed between e-scooter demand and variables such as sociodemographic attributes, transportation infrastructure, land use, meteorological attributes, and situational factors. The second study shifted focus to shared e-scooter origin-destination (OD) flows in the urban region. By employing a joint binary logit-fractional split model, e-scooter OD flows were analyzed, emphasizing variations across distinct time periods and the subsequent implications for e-scooter deployment and rebalancing strategies. The third study delved into e-scooter utilization efficiency, introducing a time-to-book (TtB) measure. Through a Mixed Grouped Ordered Logit (MGOL) model, the study highlighted variations between regular and peak weeks, offering operators a chance to enhance fleet utilization. The final study addressed the broader context of the e-scooter industry, investigating the impact of the COVID-19 pandemic. By analyzing datasets spanning January 2019 through December 2021, a spatial approach illuminated changes in e-scooter demand patterns before, during, and after the pandemic, highlighting the effects of COVID-19-related factors and vaccine attributes on e-scooter trends. These collective insights from the four studies provide valuable contributions to understanding and enhancing e-scooter operations in urban landscapes16 0