Predicting short-term subway ridership and prioritizing its influential factors using gradient boosting decision trees

Earth & Environmental Sciences

• bus 55%
• decision 52%
• prediction 41%
• transportation system 20%
• data mining 17%
• machine learning 16%
• learning 13%
• public 11%
• station 9%
• parameter 5%
• rate 5%
• effect 3%
• method 3%

Engineering & Materials Science

• Subways 100%
• Decision trees 81%
• Subway stations 16%
• Smart cards 14%
• Data mining 9%
• Machine learning 8%

Social Sciences

• public transportation 21%
• transportation system 21%
• learning method 16%
• performance 15%
• learning 5%