Analysis of factors influencing cyclist injury severity and heterogeneity analysis in urban bicycle accidents considering data imbalance

To explore the factors influencing the injury severity of cyclists in urban bicycle accidents and mitigate the impact of data heterogeneity and imbalance on the quantification of these factors, this study proposes a method integrating resampling, latent class analysis (LCA), and Bayesian networks (B...

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Hlavní autor:	WANG Chaojian, XU Xiaojin, FENG Bin, YU Songlin, ZHANG Weidong
Médium:	Artigo
Jazyk:	Chinês
Vydáno:	Editorial Office of Shandong Science 2026-02-01
Edice:	Shandong kexue
Témata:	|traffic safety|bicycle accidents|injury severity|latent class analysis|bayesian networks
On-line přístup:	https://www.sdkx.net/fileup/1002-4026/PDF/2025034.pdf
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