Results 41 to 50 of about 1,856 (116)

A spatio-temporal node-place-ridership model for classifying metro station areas: The case of Shenzhen, China

Journal of Transport and Land Use
The node-place model has been widely applied for uncovering the coordination between transit network and land use but overlooks the critical role of ridership and its temporal variations. Focusing on the dynamic nature of urban activities and ridership,
Dejiang Wang, Jiangyue Wu, Zhuolin Tao
doaj   +1 more source

Passenger Flow‐Aware Train Scheduling Model for Minimising Energy Consumption in Urban Rail Systems

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This study proposes a dynamic‐programming (DP)‐based train scheduling framework that models the interaction among passenger flow, train mass, and energy consumption, enabling energy‐efficient operation under time‐varying demand. Case studies on a real metro line show that the method reduces energy consumption by up to 10.8% while maintaining transport ...
Haoran Geng, Zhongbei Tian, Masafumi Miyatake, Deshi Kong, Qian Xu   +4 more
wiley   +1 more source

Pricing and Scheduling for Hybrid Demand Responsive Transit System With Mixed Services and Passenger Preference

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This paper studies the coordinated scheduling and management for hybrid DRT systems offering both direct door‐to‐door rides and feeder connections to mass transit, incorporating passenger mode choice behaviour to account for heterogeneous passenger preferences in a multimodal environment.
Jingxuan Ren, Wenzhou Jin
wiley   +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 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

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

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

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

Dynamic Evolution of Multilevel Rail Transit Destination Choice Behavior Based on Disaggregate–Reinforcement Learning

Journal of Advanced Transportation, Volume 2026, Issue 1, 2026.
To address the distribution of origin–destination (OD) passenger flow in multilevel rail transit complex network, we propose a simulation method based on travel behavior and reinforcement learning for travelers’ multilevel rail transit network destination choice behavior.
Wei Gao, Enjian Yao, Yongsheng Zhang, Keyan Bai, Hongtai Yang   +4 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