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To what extent the traffic restriction policies can improve its air quality? An inspiration from COVID-19

  • Si qing Xu
  • , Hong di He
  • , Ming ke Yang
  • , Cui lin Wu
  • , Xing hang Zhu
  • , Zhong ren Peng
  • , Yuya Sasaki
  • , Kenji Doi
  • , Shinji Shimojo
  • Shanghai Jiao Tong University
  • University of Florida
  • Osaka University

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

In hazy days, several local authorities always implemented the strict traffic-restriction measures to improve the air quality. However, owing to lack of data, the quantitative relationships between them are still not clear. Coincidentally, traffic restriction measures during the COVID-19 pandemic provided an experimental setup for revealing such relationships. Hence, the changes in air quality in response to traffic restrictions during COVID-19 in Spain and United States was explored in this study. In contrast to pre-lockdown, the private traffic volume as well as public traffic during the lockdown period decreased within a range of 60−90%. The NO2 concentration decreased by approximately 50%, while O3 concentration increased by approximately 40%. Additionally, changes in air quality in response to traffic reduction were explored to reveal the contribution of transportation to air pollution. As the traffic volume decreased linearly, NO2 concentration decreased exponentially, whereas O3 concentration increased exponentially. Air pollutants did not change evidently until the traffic volume was reduced by less than 40%. The recovery process of the traffic volume and air pollutants during the post-lockdown period was also explored. The traffic volume was confirmed to return to background levels within four months, but air pollutants were found to recover randomly. This study highlights the exponential impact of traffic volume on air quality changes, which is of great significance to air pollution control in terms of traffic restriction policy.

Original languageEnglish
Pages (from-to)1479-1495
Number of pages17
JournalStochastic Environmental Research and Risk Assessment
Volume37
Issue number4
DOIs
StatePublished - Apr 2023
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Air quality
  • COVID-19 lockdown
  • System resilience
  • Traffic volume
  • Urban management

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