Location optimization of cold chain logistics parks based on Bayesian probability theory and K-means clustering analysis in China.

Wang L, Liu X, Wang X, Jiang Y

Open source

DOI
10.1038/s41598-025-23591-x
Published
2025 Nov 14
Container
Scientific reports
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1038/s41598-025-23591-x,
  title = {Location optimization of cold chain logistics parks based on Bayesian probability theory and K-means clustering analysis in China.},
  author = {Wang L and Liu X and Wang X and Jiang Y},
  year = {2025},
  journal = {Scientific reports},
  doi = {10.1038/s41598-025-23591-x},
  url = {https://doi.org/10.1038/s41598-025-23591-x}
}

RIS

TY  - JOUR
TI  - Location optimization of cold chain logistics parks based on Bayesian probability theory and K-means clustering analysis in China.
AU  - Wang L
AU  - Liu X
AU  - Wang X
AU  - Jiang Y
PY  - 2025
JO  - Scientific reports
DO  - 10.1038/s41598-025-23591-x
UR  - https://doi.org/10.1038/s41598-025-23591-x
ER  - 

APA

L, W., X, L., X, W., & Y, J. (2025). Location optimization of cold chain logistics parks based on Bayesian probability theory and K-means clustering analysis in China.. Scientific reports. https://doi.org/10.1038/s41598-025-23591-x

Source records