Objectives: Understanding the risks associated with electric motorcycles (EMs) is essential for developing effective mobility and safety strategies in an era of increasing motorcycle use and the shift toward electric vehicles. In this research, we investigate the prevalence of crashes among EM and conventional motorcycle (CM) users, as well as factors contributing to the crashes. Methods: This study uses primary survey data from 972 motorcyclists (481 EM and 491 CM riders) collected in December 2023 in Hanoi, Vietnam. It compares the frequency of risky riding behaviors and crash types between the 2 groups. Additionally, 2 binary logit regression models are applied to identify factors associated with crashes in the past 12 months for EM and CM riders. Results: The results suggest that the prevalence of respondents who did not experience crashes (56.1%), minor crashes (68.8%), serious crashes with injury (80.9%), and hospitalization (91.1%) for EM riders was significantly higher than that for CM users. CM riders tend to engage in many risky riding behaviors more frequently than EM riders. Higher frequencies of speeding, smoking, and neglecting turn signals were related to greater crash risk in both groups. Red light running was a particular risk factor of crash prevalence for EMs only. Older EM users were more likely to experience a crash, and CM users traveling longer and living in urban districts were found to be linked to higher crash prevalence. Conclusions: Transitioning from CMs to EMs in Vietnam may offer some safety benefits, such as cautious behavior by EM riders and lower speeds, but there are no major differences in crash prevalence between the groups. Risky behaviors like speeding, smoking, and neglecting turn signals increase crash risks for both; red light running is a particular concern for EM riders and longer travel distances and urban residency for CM users. Targeted interventions, proper training, and licensing are essential, with attention to older EM riders’ vulnerabilities and the risks faced by CM users in urban areas and on long trips.

Transport sustainability has become a major challenge worldwide. On-demand shared ride-hailing (OSR) is an alternative transport mode to private motorized mobility which allows passengers to share a vehicle and driver to their respective destination. OSR is more flexible than buses and cheaper than taxis. Additionally, ride-hailing services such as OSR play an important role in servicing communities with poor access to public transport (e.g., buses or trains) and people with increased vulnerabilities (e.g., women with children or people with disabilities). The present study investigates the impact of psychological factors on passengers' intention to use OSR services. To achieve this, the Theory of Planned Behaviour (TPB) was used and extended with perceived risk, price sensitivity, and perceived green value. Data were collected from 520 ride-hailing passengers in Vietnam. The results confirm the relevance of the original TPB constructs, i.e., attitudes, perceived behavioural control, and social norms. Concerning the three additional constructs, only perceived risk negatively and directly influences usage intention, while the two other constructs (i.e., price sensitivity and perceived green value) influence the intention to use OSR via attitudes. The results also reveal that the impact of perceived green value on usage intention is higher among females than males. Additionally, among middle- and high-income people, there is a significant negative association between perceived risk and intention, while this association is not significant among low-income participants. The findings from the present paper provide evidence of the importance of psychosocial factors such as perceptions of risk, price sensitivity, and sustainability when considering intention to use on-demand shared transport services.