Results 21 to 30 of about 4,349 (167)
Trip Purpose Prediction with Minimal Sequential Context: A Parsimonious Machine Learning Approach
Trips labelled ’Home’ and ’School’ were predicted with the highest accuracy, correctly identifying about 92% of those trips. ’Shopping’ and ’Dining Out’ trips were moderately well classified (∼55% each), whereas ’Leisure’ trips were more often confused with other purposes (∼29% correct), likely because leisure activities are diverse and occur under ...
Jiho Kim, Jiwoo Kim, Kyusang Kwon
wiley +1 more source
Performance Measures to Assess Resiliency and Efficiency of Transit Systems [PDF]
Transit agencies are interested in assessing the short-, mid-, and long-term performance of infrastructure with the objective of enhancing resiliency and efficiency.
Bartin, Bekir +9 more
core +1 more source
Passenger Flow‐Aware Train Scheduling Model for Minimising Energy Consumption in Urban Rail Systems
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 +4 more
wiley +1 more source
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 +5 more
wiley +1 more source
CITIES AND ACCESSIBILITY: THE POTENTIAL FOR CARBON REDUCTIONS AND THE NEED FOR NATIONAL LEADERSHIP [PDF]
This article begins by outlining the elements that should be included in the framework for understanding how people interact with their built environments.
Bartholomew, Keith
core +1 more source
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 +4 more
wiley +1 more source
A bikeshare station area typology to forecast the station-level ridership of system expansion
The continuous introduction and expansion of docked bikeshare systems with publicly available origin-destination data have opened exciting avenues for bikeshare research. In response, a flux of recent studies has examined the sociodemographic determinants and safety or natural environment deterrents of system ridership.
Steven R. Gehrke, Timothy F. Welch
openaire +4 more sources
The role of public transport in addressing sustainable mobility for the elderly population in Malta [PDF]
Over the past few years, several countries have continued experiencing a growth in their elderly population. Similarly, a number of towns and villages in Malta registered a high elderly population in the last census (NSO, 2012).
Attard, Maria, Mifsud, Deborah
core +1 more source
Optimizing Bus Rapid Transit Systems: A Simulation Approach to Scheduling
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
Advancing High-Speed Rail Policy in the United States, Research Report 11-18 [PDF]
This report builds on a review of international experience with high-speed rail projects to develop recommendations for a High-speed rail policy framework for the United States.
Ashiabor, Seananu, Wei, Wenbin
core +1 more source

