Behavioural Shifts in the Transport Sector

Emissions from the Indian transport sector currently account for almost 10 per cent of the country’s total GHG emissions, mandating significant sectoral interventions for attaining the ‘net zero’ goal.

Strategies to reduce emissions from the transport sector include electric vehicle (EV) adoption, shift to public transport (PT), and non-motorised transport (NMT). These typically require substantial behavioural change.

Which Model to Choose? Performance Comparison of Statistical and Machine Learning Models in Predicting PM2.5 From High-Resolution Satellite Aerosol Optical Depth

The mathematical solution to estimate surface fine particulate matter (PM2.5) from columnar aerosol optical depth (AOD) includes complex variables and involves a bunch of assumptions. Hence, researchers tend to use training-based models to predict PM2.5 from AOD. Here, we integrated regulatory composite PM2.5 measurements, high-resolution satellite AOD, reanalysis meteorological parameters, and a few other auxiliary parameters to train ten different regression models.