The rapid growth of urbanised areas and increasing demand for mobility present considerable pressure for urban transport systems, particularly in terms of congestion, energy consumption, and environmental impact. The aim of this study was to identify effective strategies for sustainable transport planning, considering their applicability in various urban contexts. The research gap addressed in this article lies in the limited cross-contextual, source-traceable assessment of how integrated public transport models used in mature U.S. urban systems can be adapted to a post-socialist and resource-constrained city such as Yerevan, while maintaining a logistics-systems perspective on capacity, infrastructure, transport resilience and mobility efficiency. The study hypothesised that a shift from fragmented route networks to integrated mobility models, specifically through multimodal coordination, public transport prioritisation, and the modernisation of technical and financial infrastructure, can substantially improve urban transport efficiency. The study employed a comparative analysis of transport solutions in New York, Portland, Minneapolis, Los Angeles, San Francisco, and Yerevan, using data from 2020-2024. Methods included descriptive-analytical design, economic and statistical modelling, spatial analysis with GIS, and quantitative methods to assess passenger flows and infrastructure changes. Key results showed that cities with integrated systems, such as New York and Portland, demonstrated increased public transport use and reduced private car use. The study concluded that strategies such as Bus Rapid Transit and multimodal systems, combined with smart mobility and electrification, can adapt to cities with varying resource availability. This research offers recommendations for optimising urban transport systems and improving mobility planning based on successful international practices.