A cross-city analysis of mobility responses to air pollution in China

Keyphrases

• Air Pollution in China 100%
• Spatial Heterogeneity 100%
• Air Pollution 100%
• PM2.5 Level 100%
• City Mobility 100%
• Cross-city Analysis 100%
• Machine Learning Techniques 50%
• Local Conditions 50%
• Chinese Cities 50%
• Pollution Episodes 50%
• Mobility Patterns 50%
• Heavily Polluted 50%
• Environmental Management 50%
• Air Quality 50%
• Negative Association 50%
• Air Pollution Reduction 50%
• Daily Trip 50%
• Causal Effect 50%
• Tertiary Industry 50%
• Effective Transport 50%
• Econometric Models 50%
• Reduced Mobility 50%
• Mitigation Efforts 50%
• Land Use Policy 50%
• Mobility Levels 50%
• Population Density 50%
• Explainable Machine Learning 50%
• Land Use Features 50%
• Transboundary Air Pollution 50%
• Transport Management 50%
• Polluted Days 50%
• Population Redistribution 50%
• Explainable Machine Learning Models 50%
• Pollution Avoidance 50%
• Mitigation Support 50%
• Air Mobility 50%
• Travel Avoidance 50%
• Mobility Impact 50%

Earth and Planetary Sciences

• China 100%
• Air Pollution 100%
• Particular Matter 2.5 40%
• Land Use 40%
• Spatial Heterogeneity 40%
• Explainable Machine Learning 40%
• Air Quality 20%
• Standard Deviation 20%
• Population Density 20%
• Environmental Management 20%