Quantifying the impact of urban road traffic on air quality: activity pre-pandemic and during partial and full lockdowns

Environmental Monitoring and Assessment(2024)

引用 0|浏览4
暂无评分
摘要
The impact of partial and full COVID lockdowns in 2020 on vehicle miles traveled (VMT) in Kuwait was estimated using data extracted from the Directions API of Google Maps and a Python script running as a cronjob. This approach was validated by comparing the predictions based on the app to measuring traffic flows for 1 week across four road segments considered in this study. VMT during lockdown periods were compared to VMT for the same calendar weeks before the pandemic. NOx emissions were estimated based on VMT and were used to simulate the spatial patterns of NOx concentrations using an air quality model (AERMOD). Compared to pre-pandemic periods, VMT was reduced by up to 25.5
更多
查看译文
关键词
Urban road traffic,Transportation emission,Air quality,Dispersion modeling,COVID-19 lockdown
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要