Impact of urban spatial factors on NO2 concentration based on different socio-economic restriction scenarios in U.S. cities

Keyphrases

• Socioeconomic 100%
• NO2 Emissions 100%
• NO2 Concentration 100%
• Spatial Factors 100%
• Lockdown 100%
• US Cities 100%
• Economic Constraints 100%
• Urban Spatial 100%
• Human Mobility 66%
• United States 33%
• Economic Activity 33%
• Social Activity 33%
• Air Quality 33%
• Emission Sources 33%
• Predictive Models 33%
• Population Density 33%
• Nitrogen Dioxide NO2 33%
• Dynamic Change 33%
• Seasonal Autoregressive Integrated Moving Average (SARIMA) 33%
• High Population Density 33%
• Urban Setting 33%
• Commuting Patterns 33%
• Health Disparities 33%
• Stationary Sources 33%
• Predicted No Effect Concentration 33%
• Low Variation 33%
• High-income 33%
• Travel Restrictions 33%
• Factor Combination 33%
• Low-density Population 33%
• Income Inequality 33%
• Local Climate 33%
• Long Short-term Memory 33%
• Scientific Impact 33%
• Observation Station 33%
• Low-income Areas 33%
• Counterfactual Scenarios 33%
• Restriction Measures 33%
• Lockdown Period 33%
• NO2 Reduction 33%
• Post-lockdown Period 33%
• Last Five Years 33%
• Income Regions 33%

Earth and Planetary Sciences

• United States of America 100%
• Nitrogen Dioxide 100%
• Emissions 27%
• Population Density 27%
• Emission Source 9%
• United States 9%
• Air Quality 9%

Agricultural and Biological Sciences

• Population Density 100%
• Air Quality 33%
• Short-Term Memory 33%