The study of existing Thailand transport sector data shows that the statistics for vehicle registration for all vehicle types, including by age and fuel type, are readily available. However, other data, notably specific fuel consumption, vehicle speed patterns, occupancy rate, modal split and trip patterns need to be improved.
To address such barriers and improve transport MRV step-by-step, we propose the improvement of data collection through type approval testing and real-life measurements, household surveys, traffic counts, existing data of public transport operators and other surveys. To illustrate, the general population and housing census, as well as the annual socio-economic survey, could be expanded with one or multiple transport questions related to daily commuting; collection of odometer data to support VKT data can be improved. Another issue of data collection relates to vehicle classification, which should be adjusted so as to strike a balance between comprehensiveness and practicality.
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