Spatiotemporal exploration of the non-linear impacts of accessibility on metro ridership
Q Du, Y Zhou, Y Huang, Y Wang, L Bai - Journal of Transport Geography, 2022 - Elsevier
Identifying the determinants of metro ridership is essential for metro planning and passenger
flow management. However, few studies to date have empirically examined how …
flow management. However, few studies to date have empirically examined how …
Equity impacts of the built environment in urban rail transit station areas from a transit-oriented development perspective: a systematic review
T Wan, W Lu, P Sun - Environmental Research Communications, 2023 - iopscience.iop.org
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 …
tenet, has emerged as a pivotal urban policy driving sustainable and intelligent urban …
Ridership prediction of urban rail transit stations based on AFC and POI data
Z Zhu, Y Zhang, S Qiu, Y Zhao, J Ma… - Journal of Transportation …, 2023 - ascelibrary.org
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 …
management of rail transit and configuration of facilities around stations. This study used …
Spatiotemporal effects of built environment factors on varying rail transit station ridership patterns
J Wang, F Wan, C Dong, C Yin, X Chen - Journal of Transport Geography, 2023 - Elsevier
Although several studies have explored the impacts of built environment factors on rail
transit station ridership, the spatiotemporal heterogeneity of the effects and different …
transit station ridership, the spatiotemporal heterogeneity of the effects and different …
An Overview and General Framework for Spatiotemporal Modeling and Applications in Transportation and Public Health
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 …
especially in the field of transportation and public health. The complex and dynamic patterns …
[HTML][HTML] The influence of public transport delays on mobility on demand services
L Martin, M Wittmann, X Li - Electronics, 2021 - mdpi.com
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 …
out of service, customers might use mobility on demand (MoD), including taxi and carsharing …
[HTML][HTML] Investigating the Key Factors Affecting Public Transport Ridership in Developing Countries through Structural Equation Modeling
Every country requires efficient public transportation to reduce the reliance on motor
vehicles, decrease harmful emissions and noise pollution, and, most importantly, provide …
vehicles, decrease harmful emissions and noise pollution, and, most importantly, provide …
Measuring the relationship between influence factor and urban rail transit passenger flow: Correlation or causality?
W Lu, Y Zhang, C Ma, B Zhou… - Journal of Urban Planning …, 2022 - ascelibrary.org
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 …
precondition for establishing prediction models. Much past analysis has focused on …
Unveiling the evolution of urban rail transit network: considering ridership attributes
Y Zhao, Z Zhu, Y Zhang, Y Yang, Y Guo… - Transportation …, 2024 - Taylor & Francis
Previous research on urban rail transit (URT) evolution mainly focused on network topology,
neglecting ridership attributes. This study extracts ridership and network topology indicators …
neglecting ridership attributes. This study extracts ridership and network topology indicators …
[HTML][HTML] Periodic analysis of scenic spot passenger flow based on combination neural network prediction model
F Yin - Journal of Intelligent Systems, 2024 - degruyter.com
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 …
measures' lack in scenic areas, this study established a prediction model based on an …