Australian Swinburne University of Technology is working with startup Scope3 to develop a new system aimed at accurately collecting and reporting real-time greenhouse gas (GHG) emissions data from the transport and logistics supply chain.
Hitherto authorities have only been able to estimate such emissions where the new system should be able to accurately measure the emissions. This could inform policy and practice in the medium to longer term.
One of the most interesting data measurements will be from last mile delivery. The data gathered will give insights into transport GHG emissions and better inform businesses in carbon accounting and climate risk analyses.
“Business, government and the community are uniting in concern about the impact of human activity on climate change,” says Deputy Director of Swinburne’s Smart Cities Research Institute, Professor Hussein Dia.
“But, in order to deal effectively with the problem, we must understand the causes of and the relative contributions to GHG generation.”
As part of the data gathering the partnership between Swinburne and Scope3 is to develop a prototype p digital platform for reporting, organising and managing the data. In addition it is to introduce machine learning models that will identify improvements that can be made to reduce emissions in the supply chain.
“Managing the collection and analysis of GHG emissions data is a complex and diverse challenge for businesses, governments and industry,” says Professor Dia.
“In particular, accurate GHG emissions data from transport emissions, accounting for the ‘last mile’ of a global supply chain, is not readily available and accessible for use.”