Data Brief. 2026 May 29;67:112898. doi: 10.1016/j.dib.2026.112898. eCollection 2026 Aug.
ABSTRACT
The rapid growth of Vietnam’s transport sector presents challenges for sustainable energy and transport planning, particularly due to rising fuel consumption and associated carbon emissions. To help address these challenges, this paper presents a comprehensive dataset designed to support the modelling of future transport demand, energy use, and CO2 emissions in Vietnam. The dataset covers population, GDP, passenger and freight activity, vehicle stock, energy intensity, load capacity, and CO2 factors across nine transport modes: motorcycles, cars, buses, light-duty vehicles, heavy-duty vehicles, rail, inland waterways, maritime, and aviation. These are further disaggregated into nine fuel types: petrol, diesel, compressed natural gas, electricity, biofuel, fuel oil, hydrogen, ammonia, and jet fuel. Data were compiled from national statistics, government reports, online databases, academic journals, and media sources. Structured for use with open-source modelling tools, the dataset supports analyses of transport demand and carbon accounting, offering researchers, policymakers, and consultants a resource to evaluate long-term decarbonisation pathways and inform evidence-based policymaking.
PMID:42306784 | PMC:PMC13266183 | DOI:10.1016/j.dib.2026.112898
