... Li et al., 2019), log-linear model (Haque et al., 2012), latent class analysis Gkritza, 2014, 2014), Bayesian multivariate crash frequency model (Cheng et al., 2017), Bayesian Network (Das et al., 2023), multiple correspondence analysis (Jalayer and Zhou, 2016), taxicab correspondence analysis (Das, 2021), machine learning Jiang, 2020, 2019b), and data mining (Cunto and Ferreira, 2017;Kashani et al., 2014). Studies involving deep learning (Das et al., 2018), computer simulations, and fullscale crash testing (Atahan et al., 2018) focused on innovative approaches to motorcycle crash analysis and safety interventions. A deep learning framework, DeepScooter, was developed to predict crash severities with high accuracy, revealing that rider ejection, curved roadways, and weekend crashes are associated with higher injury risks (Das et al., 2018). ...