Neighbourhood socioeconomic and transport disadvantage: The potential to reduce social inequities in health through transport

Keyphrases

• Australia 25%
• Binary Logistic Regression 25%
• Block Size 50%
• Brisbane 75%
• Chronic Disease 25%
• Climate Change 25%
• Composite Index 25%
• Cul-de-sac 50%
• Design Features 25%
• Design Level 25%
• Disadvantaged Areas 25%
• Disadvantaged Neighbourhoods 50%
• Economically Disadvantaged 25%
• Health Inequities 25%
• High Traffic 25%
• Highly Connected 25%
• Multinomial Logistic Regression 25%
• National Census 25%
• Neighborhood Socioeconomic Disadvantage 100%
• Policy-relevant 25%
• Politicians 25%
• Population Growth 25%
• Public Transport 50%
• Public Transport Access 25%
• Public Transport Stops 50%
• Socioeconomic Health Disparities 100%
• Spatial Metrics 50%
• Street Block 50%
• Street Connectivity 25%
• Traffic Congestion 25%
• Traffic Volume 50%
• Transport Design 25%
• Transport Disadvantage 100%
• Transport Policy 50%
• Transport-related 75%
• Urban Design 25%
• Urban Policy 50%
• Urbanization 25%

Social Sciences

• Australia 20%
• Chronic Disorder 20%
• Climate Change 20%
• Population Census 40%
• Population Increase 20%
• Public Transport 100%
• Traffic Congestion 20%
• Traffic Volume 40%
• Transport Policy 40%
• Urban Policy 40%