Results 61 to 70 of about 24,589 (207)

SubeYa: A System for Predicting Passenger Demand at Train Stations

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This study addresses the challenges of urban congestion and long wait times within EL1ML by introducing SubeYa, a web‐based platform designed to predict passenger demand. By utilizing the Prophet predictive model and analysing historical data from 2019 to 2025, the system achieves a global MAE of 259.10.
Angelo Meza, Annsherly Acuña, José Santisteban   +2 more
wiley   +1 more source

The eyes of the beholder: Perceived barriers to successful drug repurposing

British Journal of Pharmacology, Volume 183, Issue 2, Page 219-233, January 2026.
Despite tremendous advances in new drug development over recent decades, the medical needs of an ever increasing and ageing global population are still significantly unmet. Drug repurposing (DR)—finding new therapeutic uses for existing medicinal substances and products—offers a promising strategy by potentially reducing development time, costs and ...
Zsuzsanna Ida Petykó, Dalma Hosszú, Marcell Csanádi, Kristóf Gyöngyösi, George Dennis Obeng, David Ameyaw, Tamás István Dóczi, Zoltán Kaló, Donald C. Lo, Helene G. van der Meer, Pan Pantziarka, András Inotai   +11 more
wiley   +1 more source

Mass Rapid Transit Ridership Forecast Based on Direct Ridership Models: A Case Study in Wuhan, China

Journal of Advanced Transportation, 2020
Many large cities rely on Mass Rapid Transit (MRT) to increase passenger mobility. For efficiency, MRT stations should be arranged to attract maximal number of travelers. It is therefore important to develop methods for estimating MRT ridership forecasting models, which are important for policies on land use development or new MRT lines.
Ruili Guo, Zhengdong Huang
openaire   +2 more sources

Nonlinear and Interactive Effects of the Built Environment on Low‐Carbon Travel Intentions: Evidence From Large‐Scale Map Usage Data in Beijing

Journal of Advanced Transportation, Volume 2026, Issue 1, 2026.
Understanding the relationship between travel behavior and modifiable built environment attributes is essential for promoting low‐carbon urban mobility, particularly under emerging carbon peaking and neutrality targets. While previous studies have explored this relationship, limited attention has been paid to residents’ intentions for low‐carbon travel
Liyang Hu, Jianke Cheng, Weijie Chen, Hui Bi, Zhirui Ye, Mohammad Rezwan Habib   +5 more
wiley   +1 more source

Optimizing Bus Rapid Transit Systems: A Simulation Approach to Scheduling

Journal of Advanced Transportation, Volume 2026, Issue 1, 2026.
Driven by increasing urbanization and traffic congestion challenges, efficient and cost‐effective public transportation solutions have become essential, positioning bus rapid transit (BRT) systems as an attractive alternative to conventional modes.
Safwan Altarazi, Nadia Janho, Tao Liu
wiley   +1 more source

Nonlinear and Threshold Effects on Station-Level Ridership: Insights from Disproportionate Weekday-to-Weekend Impacts

ISPRS International Journal of Geo-Information
Station-level ridership is an important indicator for understanding the relationship between land use and rail transit, which is crucial for building more sustainable urban mobility systems.
Yanyan Gu, Mingxuan Dou
doaj   +1 more source

Exploring the Built Environment Factors in the Metro That Influence the Ridership and the Market Share of the Elderly and Students

Journal of Advanced Transportation, 2021
The metro has developed rapidly in the past two decades and has become one of the crucial patterns of transportation for urban residents in China. Many studies have explored the factors affecting metro ridership, but few have focused on the metro usage ...
Jiang Ning, Tao Lyu, Yuanqing Wang
doaj   +1 more source

The Impact of Routing Option on Tangerang Bus Lane Corridor [PDF]

, 2012
The objective of this study is to analyze the impact of re-routing bus lane corridor on some performance indicators. The Tangerang Bus Lane is taken as a case study.
Alvinsyah, A. (Alvinsyah), Halim, U. (Udayalaksmanakartiyasa)   +1 more
core  

Transfer Connection Optimization of Urban Rail Transit Based on Transfer Perception

Journal of Advanced Transportation, Volume 2026, Issue 1, 2026.
In urban rail transit networks, transfer connections between lines during off‐peak hours significantly impact passenger experience. Our study introduces a novel approach to optimize these connections based on perceived waiting time. First, we established a functional relationship between actual transfer waiting time and transfer perceived waiting time (
Junsheng Huang, Zaixing Chen, Qin Luo, Mohammad Rezwan Habib   +3 more
wiley   +1 more source

Geographically Modeling and Understanding Factors Influencing Transit Ridership: An Empirical Study of Shenzhen Metro

Applied Sciences, 2019
Ridership analysis at the local level has a pivotal role in sustainable urban construction and transportation planning. In practice, urban rail transit (URT) ridership is affected by complex factors that vary across the urban area.
Yuxin He, Yang Zhao, Kwok-Leung Tsui
doaj   +1 more source