Quantifying city freight mobility segregation associated with truck multi-tours behavior

Y Yang, Y Chen, YY Lv, XY Jia, XJ Lin, XY Yan… - Sustainable Cities and …, 2024 - Elsevier
Freight mobility segregation, a phenomenon like residential social segregation, is a crucial
aspect of city landscapes that influences the livability and sustainability of cities. However …

Identifying intercity freight trip ends of heavy trucks from GPS data

Y Yang, B Jia, XY Yan, J Li, Z Yang, Z Gao - Transportation Research Part …, 2022 - Elsevier
The intercity freight trips of heavy trucks are basic data for transportation system planning
and management. In recent decades, extracting intercity freight trips from GPS data has …

Emerging practices and research issues for big data analytics in freight transportation

MF Gorman, JP Clarke, R de Koster, M Hewitt… - Maritime Economics & …, 2023 - Springer
Freight transportation has been experiencing a renaissance in data sources, storage, and
dissemination of data to decision makers in the last decades, resulting in new approaches to …

[HTML][HTML] Logistics sprawl and the change in freight transport activity: A comparison of three measurement methodologies

NM Trent, JW Joubert - Journal of Transport Geography, 2022 - Elsevier
Logistics sprawl has been observed in many urban areas around the world, but the
assumed link between increased logistics sprawl and increased freight transport activity has …

Identifying intracity freight trip ends from heavy truck GPS trajectories

Y Yang, B Jia, XY Yan, R Jiang, H Ji, Z Gao - Transportation Research Part …, 2022 - Elsevier
Intracity heavy truck freight trips are basic data in city freight system planning and
management. In the big data era, massive heavy truck GPS trajectories can be acquired cost …

A spatial–temporal graph-based AI model for truck loan default prediction using large-scale GPS trajectory data

L Chen, S Ma, C Li, Y Yang, W Wei, R Cui - Transportation Research Part E …, 2024 - Elsevier
With the increasing uncertainties in freight transportation, truck loans are playing a crucial
role in the stability and development of the logistics industry. A pivotal problem to truck loan …

Understanding non-commuting travel demand of car commuters–Insights from ANPR trip chain data in Cambridge

L Wan, J Tang, L Wang, J Schooling - Transport Policy, 2021 - Elsevier
The paper investigates the non-commuting travel demand of car commuters using Automatic
Number Plate Recognition (ANPR) trip chain data in Cambridge, UK. A novel rule-based …

Regional freight accessibility analysis based on truck trajectories—A case study of Hunan Province in China

J Li, X Zhang, Q Zhu, X Xiao, Y Zhou - Research in Transportation …, 2024 - Elsevier
Freight transport is crucial in fostering economic growth and enhancing societal well-being,
but it also poses challenges for traffic management and environmental sustainability. For …

[PDF][PDF] Inferring truck activities using privacy-preserving truck trajectories data

A Choudhry, S Qian - Journal of Intelligent and Connected …, 2023 - ieeexplore.ieee.org
Global Navigation Satellite System (GNSS) data is an inexpensive and ubiquitous source of
activity data. Global Positioning System (GPS) is an example of such data. Although there …

New method for predicting long-term travel time of commercial vehicles to improve policy-making processes

G Qi, AA Ceder, Z Zhang, W Guan, D Liu - Transportation Research Part A …, 2021 - Elsevier
Long-term travel time prediction, ahead of making a trip, is vital from the planning
perspective of delivery freight, timetable design, vehicle/crew scheduling and further …