ASRIC Journal of Engineering Sciences 2025 v6-i1

ISSN: 2795-3556

EISSN: 2795-3548

Current Issue

ASRIC Journal of Engineering Sciences 2025 v6-i1

Published: 2025-12-31

Articles

Governance Fragmentation and Implementation Deficits in Durban's Sustainable Transportation Transition

K. Zenani*, M. M. H. Mostafa

Durban, South Africa’s third-largest metropolitan economy, illustrates the challenges of sustainable transportation transitions in rapidly urbanising Global South cities. Despite ambitious initiatives such as the GO!Durban Integrated Rapid Public Transport Network and alignment with national climate and development policies, progress remains constrained by governance fragmentation and implementati

Generation Demand Balance Analysis for Uganda-Vision 2040

Alvin Ssentamu*, Priscilla Kampi, Milton Edimu

Uganda’s Vision 2040 establishes a target of 52 GW of installed electricity generation capacity by 2040, an objective that demonstrates a significant divergence from current growth projections. This study utilises a quantitative methodology, employing econometric and time-series models to forecast electricity demand, peak loads, and installed capacity through 2040. Sector-specific consumption data

GLISSA: A GenAI-Augmented Framework for Real-time Situation Awareness of power Infrastructure based on Crowd Sourced Data

Godfrey Kibalya*, JohnBosco Ssemakula, Richard Musanje

Monitoring critical infrastructure (CI) like national power networks in developing countries is hindered by the limited coverage and high cost of traditional data collection methods (e.g., sensors, SCADA), making real-time situational awareness difficult during service disruptions. In contrast, social media platforms like X (formerly Twitter) offer a rich but underutilized source of real-time user

Empirical Insights and Technical Stakeholder Perspectives: AI for Effective Decision-Making in South Africa’s Water Management Sector

Mondli Mthombeni*, Takalani Netshipale, German Nkhonjera, Jojo Kayembe, Patience Davhana

South Africa’s water management sector faces escalating challenges from climate change, population growth, and fragmented governance. This study investigates strategic stakeholder perceptions of artificial intelligence (AI) as a tool for effective decision-making, focusing on five thematic domains: Key Challenges in Water Management (CWM), Impacts of Climate Change and Population Growth (ICCPG), A

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