Objective:
- Gain new insight into the response of air quality to Nr emission changes driven by short-term compared to long-term policies and to understand how PM2.5 and N composition are changing under the influence of anthropogenic activities and climate change
Case:
Methodology:
- LOESS regression
- LASSO ML
- OLS
Data Source
- Household demographics: Data Axle
- EV infrastructure
Findings:
- In both urban and rural areas, as household income increases, access to the public charging stations also increases
- A mixed accessibility gap between low-moderate income and non-LMI households
Coding Reference: