Colored non-motorized lanes.

<div><p>Bicycle safety has emerged as a pressing concern within the vulnerable transportation community. Numerous studies have been conducted to identify the significant factors that contribute to the severity of cyclist injuries, yet the findings have been subject to uncertainty due to...

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Bibliographic Details
Main Author:	Xinchi Dong (18554525) (author)
Other Authors:	Daowen Zhang (3322239) (author), Chaojian Wang (2582917) (author), Tianshu Zhang (3399608) (author)
Published:	2024
Subjects:	Science Policy Mental Health Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified vulnerable transportation community three homogeneous sub structure learning algorithms pressing concern within adverse weather conditions 895 bicycle accidents optimal bn models accident cluster category incorporate unobserved heterogeneity key factors associated imbalance </ p cyclist injury severity unobserved heterogeneity key factors accidental injury data heterogeneity uncertainty due significant factors several subclasses results indicate research aims peak periods one subcluster numerous studies lca ). female cyclists factors influencing driving experience drivers failing distracted cyclists data imbalance cyclist injuries class imbalance bayesian network accident data accident clusters
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Colored non-motorized lanes.

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