arbiter
JournalsAccount

Spatiotemporal analysis of heavy-duty truck activity-trip chains in Harbin, China: A multi-resolution GPS data fusion approach

Mingyue Li et al.

Journal of Transport Geography2026https://doi.org/10.1016/j.jtrangeo.2026.104562article
AJG 2ABDC A
Weight
0.37

Abstract

No abstract available.

1 citation

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1016/j.jtrangeo.2026.104562

Or copy a formatted citation

@article{mingyue2026,
  title        = {{Spatiotemporal analysis of heavy-duty truck activity-trip chains in Harbin, China: A multi-resolution GPS data fusion approach}},
  author       = {Mingyue Li et al.},
  journal      = {Journal of Transport Geography},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1016/j.jtrangeo.2026.104562},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Spatiotemporal analysis of heavy-duty truck activity-trip chains in Harbin, China: A multi-resolution GPS data fusion approach

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.