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• Proposes a real-time Dynamic Freight Management (DFM) framework for smart cities. • Integrates data analytics, adaptive routing, and stakeholder feedback in urban logistics. • The empirical case study shows DFM reduces congestion and emissions in medium-sized cities. • Recommends scalable, policy-driven strategies for sustainable last-mile delivery. Sustainable management of urban logistics (UL) is crucial for reducing congestion, enhancing environmental quality, and improving liveability in cities. Traditional approaches are increasingly inadequate due to intensified urbanisation and e-commerce growth. This paper proposes a novel Dynamic Freight Management (DFM) conceptual framework that employs real-time data analytics and comprehensive traffic information to optimise urban freight operations. Reviewing the existing literature and integrating diverse methodologies, we developed a holistic strategy that aligns freight activities with urban traffic patterns to minimise disruptions and environmental impacts. The framework advocates for multi-stakeholder collaboration and supports policy recommendations for its implementation. Through theoretical analysis and case studies, this research study illustrates the potential of DFM to transform UL by reducing congestion and emissions, thus contributing to more sustainable urban environments.
Galkin et al. (Thu,) studied this question.