A special issue on data-driven and computational approaches to assess risks and enhance resilience in maritime transport systems under uncertainty.
This Special Issue seeks data-driven research that examines the energy and emissions implications of emerging mobility systems and their interactions with urban, suburban, and exurban land use patterns.
This Special Issue explores the integration of green technologies and smart systems across maritime logistics, including AI, IoT, digital twins, alternative fuels, port–ship interface optimization, and policy frameworks for sustainable transformation.
This Research Topic explores how emotions influence attention, risk perception, decision-making, and behavior across transport modes, aiming to inform emotion-focused safety interventions and policies.
This Special Issue invites research, case studies, and reviews on methods, models, and applications shaping sustainable, shared, safe, and resilient transport for people and goods.
A special issue on theories, methods, and applications of transportation big data, including multi-source data fusion, spatiotemporal mining, machine learning, intelligent traffic management, connected vehicles, public transit, safety, and low-carbon mobility.