Ridership patterns at subway stations of Seoul capital area and characteristics of station influence area

Social Sciences

• Transport 100%
• Influence 66%
• Regression Analysis 66%
• Travel 66%
• Municipal Government 33%
• Development Strategies 33%
• National Development 33%
• Traffic Planning 33%
• Payment System 33%
• Economic and Social Development 33%
• Service Industries 33%
• Flow 33%
• Korea 33%
• Analysis 33%
• Feature 33%
• Bus 33%
• Maps 33%
• Demographics 33%
• Policy 33%

Computer Science

• Travel Pattern 66%
• Regression 66%
• Relationships 66%
• Smart Card 33%
• Influencing Factor 33%
• Demographic Factor 33%
• City Government 33%
• Demographic Data 33%
• Land Development 33%
• Clustering Analysis 33%
• Service 33%
• Functions 33%