LSTM-TCN Forecasting for Short-Term Passenger Flow at Integrated Transport Hubs Using a Population-Mobility Proxy: Ablation Evidence from Shenzhen North Station
Short-term passenger-flow forecasting at integrated transport hubs requires accurate forecasts with explicit target semantics. This study evaluates long short-term memory (LSTM) and temporal convolutional network (TCN) fusion models using two distinct 5 min targets at Shenzhen North Station: a 2023–2026 regional popula...