How to improve the system evaluation of last-mile delivery? A strategy based on customer satisfaction model and spatial-time optimization

Chang Qu & Kun Wang

Cleaner Logistics and Supply Chain2026https://doi.org/10.1016/j.clscn.2026.100296article
ABDC B
Weight
0.50

Abstract

No abstract available.

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1016/j.clscn.2026.100296

Or copy a formatted citation

@article{chang2026,
  title        = {{How to improve the system evaluation of last-mile delivery? A strategy based on customer satisfaction model and spatial-time optimization}},
  author       = {Chang Qu & Kun Wang},
  journal      = {Cleaner Logistics and Supply Chain},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1016/j.clscn.2026.100296},
}

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

Flag this paper

How to improve the system evaluation of last-mile delivery? A strategy based on customer satisfaction model and spatial-time optimization

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


Evidence weight

0.50

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

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
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.