Identifying the determinants of metro ridership is essential for metro planning and passenger
flow management. However, few studies to date have empirically examined how …

Over the past three decades, Transit-Oriented Development (TOD), with transit as its central
tenet, has emerged as a pivotal urban policy driving sustainable and intelligent urban …

Ridership prediction of urban rail transit stations is of great significance for the operation and
management of rail transit and configuration of facilities around stations. This study used …

Although several studies have explored the impacts of built environment factors on rail
transit station ridership, the spatiotemporal heterogeneity of the effects and different …

Spatiotemporal modeling and forecasting is an essential task for many real-world problems,
especially in the field of transportation and public health. The complex and dynamic patterns …

Demand for different modes of transportation clearly interacts. If public transit is delayed or
out of service, customers might use mobility on demand (MoD), including taxi and carsharing …

Every country requires efficient public transportation to reduce the reliance on motor
vehicles, decrease harmful emissions and noise pollution, and, most importantly, provide …

The analysis of factors influencing urban rail transit (URT) passenger flow is often a
precondition for establishing prediction models. Much past analysis has focused on …

Previous research on urban rail transit (URT) evolution mainly focused on network topology,
neglecting ridership attributes. This study extracts ridership and network topology indicators …

To prevent in a short time the rapid increase of tourists and corresponding traffic restriction
measures' lack in scenic areas, this study established a prediction model based on an …