Fairness-Enhancing Deep Learning for Ride-Hailing Demand Prediction
Fairness-Enhancing Deep Learning for Ride-Hailing Demand Prediction
Short-term demand forecasting for on-demand ride-hailing services is a fundamental issue in intelligent transportation systems. However, previous research predominantly focused on improving prediction accuracy, ignoring fairness issues such as systematic underestimations of travel demand in disadvantaged neighborhoods. This study investigates how to measure, evaluate, and enhance prediction fairness between disadvantaged …