A vehicle-level analysis of public transport emissions and sociodemographic disparities using mobile phone data for group characterization

Keyphrases

• Level Analysis 100%
• Sociodemographic Disparities 100%
• Group Characterization 100%
• Population Exposure 100%
• Public Transport Emissions 100%
• Mobile Phone Data 100%
• Vehicle Level 100%
• Temporal Dynamics 50%
• Spatial Segregation 50%
• Young Population 50%
• Population Dynamics 50%
• Spatial Dynamics 50%
• Low-middle Income 50%
• High Temporal Resolution 50%
• High Spatial Resolution 50%
• Emission Factor 50%
• Static Model 50%
• Population Data 50%
• Public Transport System 50%
• Working Adults 50%
• Urban Air Pollution 50%
• PM2.5 50%
• Santiago of Chile 50%
• Bus Trajectory 50%
• Population Flow 50%
• GPS-based 50%
• Commuting Patterns 50%
• Emission Dynamics 50%
• Dynamic Population 50%
• Emission Level 50%
• High Emissions 50%
• Middle-income Group 50%
• Bus Emissions 50%
• Real-time Traffic Condition 50%
• Driving Conditions 50%
• Mobile Phone Records 50%
• Detailed Mapping 50%

INIS

• levels 100%
• data 100%
• public transport 100%
• mobile phones 100%
• vehicles 100%
• emission 100%
• populations 50%
• buses 25%
• dynamics 12%
• chile 12%
• trajectories 12%
• income 12%
• mapping 12%
• adults 12%
• segregation 12%
• resolution 12%
• capture 12%
• population dynamics 12%
• allocations 12%
• gps 12%
• air pollution 12%

Social Sciences

• Sociodemographics 100%
• Public Transport 100%
• Mobile Phones 100%
• Bus 66%
• Chile 33%
• Transport System 33%
• Air Pollution 33%