Measuring nonlinear relationships and spatial heterogeneity of influencing factors on traffic crash density using GeoXAI.

Lu J, Li Z, Han L, Guo Q

DOI: 10.1016/j.aap.2026.108678
Published: 2026 Oct
Container: Accident; analysis and prevention
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.aap.2026.108678,
  title = {Measuring nonlinear relationships and spatial heterogeneity of influencing factors on traffic crash density using GeoXAI.},
  author = {Lu J and Li Z and Han L and Guo Q},
  year = {2026},
  journal = {Accident; analysis and prevention},
  doi = {10.1016/j.aap.2026.108678},
  url = {https://doi.org/10.1016/j.aap.2026.108678}
}

RIS

TY  - JOUR
TI  - Measuring nonlinear relationships and spatial heterogeneity of influencing factors on traffic crash density using GeoXAI.
AU  - Lu J
AU  - Li Z
AU  - Han L
AU  - Guo Q
PY  - 2026
JO  - Accident; analysis and prevention
DO  - 10.1016/j.aap.2026.108678
UR  - https://doi.org/10.1016/j.aap.2026.108678
ER  -

APA

J, L., Z, L., L, H., & Q, G. (2026). Measuring nonlinear relationships and spatial heterogeneity of influencing factors on traffic crash density using GeoXAI.. Accident; analysis and prevention. https://doi.org/10.1016/j.aap.2026.108678

Source records

pubmed · retrieved 2026-09-25T20:59:36.598Z