Unraveling the spatial heterogeneity of urban traffic crashes: A GeoXGBoost and point-mapping SHAP framework.

Zhao Y, Yang Y, Yuan R, Zhou T

DOI: 10.1080/15389588.2026.2740150
Published: 2026 Oct 14
Container: Traffic injury prevention
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1080/15389588.2026.2740150,
  title = {Unraveling the spatial heterogeneity of urban traffic crashes: A GeoXGBoost and point-mapping SHAP framework.},
  author = {Zhao Y and Yang Y and Yuan R and Zhou T},
  year = {2026},
  journal = {Traffic injury prevention},
  doi = {10.1080/15389588.2026.2740150},
  url = {https://doi.org/10.1080/15389588.2026.2740150}
}

RIS

TY  - JOUR
TI  - Unraveling the spatial heterogeneity of urban traffic crashes: A GeoXGBoost and point-mapping SHAP framework.
AU  - Zhao Y
AU  - Yang Y
AU  - Yuan R
AU  - Zhou T
PY  - 2026
JO  - Traffic injury prevention
DO  - 10.1080/15389588.2026.2740150
UR  - https://doi.org/10.1080/15389588.2026.2740150
ER  -

APA

Y, Z., Y, Y., R, Y., & T, Z. (2026). Unraveling the spatial heterogeneity of urban traffic crashes: A GeoXGBoost and point-mapping SHAP framework.. Traffic injury prevention. https://doi.org/10.1080/15389588.2026.2740150

Source records

pubmed · retrieved 2026-11-10T14:32:34.326Z