Urban transportation in Vietnam, dominated by fossil fuel-powered motorbikes, is causing severe air pollution, contributing to climate change, and posing a threat to public health. In response to these challenges, promoting the transition from traditional motorbikes to electric motorcycles (EMs) is considered a sustainable transportation solution, aligning with the global trend toward green development. However, to expand market share and enhance the acceptance of electric motorcycles, a deeper understanding of consumer perception and behavior is essential. This study aims to develop and test a research model based on the cognitive–affective–conative framework. Data collected from 506 conventional motorbike users in Vietnam were analyzed using the SEM method. The study employs a second-order model, grounded in the cognitive–affective–conative framework, to evaluate the relationship between perceived value and perceived cost with the intention to use electric motorcycles, mediated by the role of anticipated emotions. The findings clarify the role of perceived value and perceived cost in shaping customers' anticipated emotions, which significantly influence their intention to switch to electric motorcycles. These insights not only provide valuable information for manufacturers and policymakers but also contribute to shaping development and marketing strategies for electric motorcycles in the future.

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.

Perceived accessibility refers to individuals’ subjective perception of how easy it is to reach destinations using a specific mode of transport. As such, understanding the effect of perceived accessibility on travel behavior is essential for creating transport systems and urban environments that are efficient, equitable, and sustainable. This study develops a new integrated model by combining the Norm Activation Model (NAM), the Theory of Planned Behavior (TPB), perceived risk, and perceived accessibility. This enhanced model offers a comprehensive understanding of the factors influencing individuals’ intentions to switch to urban train systems. Additionally, the moderating effects of perceived accessibility on the link between personal, contextual factors and switching intention are also explored. The model developed is tested using data obtained from a sample of 535 individuals in Hanoi, Vietnam. This is particularly important because more research in low- and middle-income countries (LMICs) is needed to address the sustainability challenges these nations face due to their dependency on motorized private transport. The findings show that subjective norms have the strongest effect on the intention, followed by personal norms, attitude, and perceived accessibility. This study also confirms the moderating role of perceived accessibility on the link between attitude and switching intention, while the other hypotheses regarding the moderating effects of perceived accessibility are not supported by the findings. These insights aim to inform policymakers and public transport authorities in developing targeted strategies to promote sustainable urban mobility in Vietnam.

The rise of on-demand food delivery services, operating on gig economy models, has gained popularity worldwide. However, this surge has led to a concerning increase in road traffic crashes involving delivery riders. From this, an urgent need has emerged for a comprehensive study to explore the complex traffic safety issues that this vulnerable group faces daily. Therefore, this study aims to provide in-depth insights into the unsafe riding practices of food delivery riders and to identify effective countermeasures to mitigate the risks they commonly encounter. To address this need, the study has proposed a theoretical framework based on the job demands-resources (JD-R) model. In addition, two constructs, including safety compliance and intention to violate traffic rules, are incorporated into the JD-R model to examine their impact on negative safety outcomes. A survey was conducted in Danang city, Vietnam, gathering responses from 419 delivery riders. Partial Least Squares Structural Equation Modeling was employed to analyze the relationships among the constructs in the developed model. The results highlight the significance of all job aspects as predictors of safety compliance and intentions to violate traffic rules. Furthermore, the study's findings reveal that safety compliance serves as a mediator between job demands and job resources, influencing negative safety outcomes. Based on these research findings, platform firms can strategically consider implementing tailored solutions to enhance traffic safety, discourage participation in unsafe riding practices, and promote sustainable travel behavior patterns among delivery riders.

In low- and middle-income countries, electric motorcycles (EMs) are not generally well accepted in the community as many infrastructural, technological, and psychosocial barriers remain unaddressed. A greater understanding of adoption barriers perceived by motorcycle riders can help devise strategies, such as policy and behavioural change interventions, to increase the uptake of EMs. This study aimed to investigate the risk dimensions of EM adoption and integrate them into the Theory of Planned Behaviour to model users’ intention to adopt EMs. A multi-group analysis was also conducted to examine the moderating effect of demographic characteristics on the proposed model. The data were collected from two cities in Vietnam, making this one of the region's first theory-based studies on the electrification of the transport system. The outcomes of the structural equation modeling affirmed that the psychosocial variables outlined in the Theory of Planned Behaviour (i.e., attitudes, perceived behavioural control, and social norms) and perceived risk significantly influence the behavioural intention to adopt EMs. These findings hold significance for policymakers and manufacturers as they provide valuable insights into the factors that can be targeted to enhance the adoption of EMs. This represents a crucial step towards advancing sustainability goals in low- and middle-income countries.

In the expanding food delivery sector, particularly in Asia, where motorcycles are preferred for their efficiency, there has been an alarming rise in traffic safety incidents involving delivery riders. This increase highlights the need for a comprehensive understanding of safety outcomes within the industry, encompassing both organizational and personal factors. Our study, using data from 401 motorcycle delivery riders in Vietnam, addresses this gap with a conceptual model based on the Safety Climate Model. This model assesses the impact of safety climate, knowledge, and motivation on rider safety performance. Our findings reveal that factors like management values, effective safety communication, and quality safety equipment are crucial in creating a positive safety climate. This climate significantly boosts safety participation and compliance among riders. Furthermore, the study confirms that safety climate indirectly influences safety outcomes through safety knowledge and motivation. These results illustrate the dynamic between organizational practices and individual behaviors in determining safety in the food delivery industry. The study underscores the need for a holistic approach to safety, extending beyond equipment provision to include management commitment, communication, and motivational incentives. Implementing such comprehensive strategies is vital for enhancing rider safety, contributing to a safer work environment, and reducing safety–critical incidents among food delivery riders.

Using mobile phones while riding is a form of distracted riding that significantly elevates crash risk. Regrettably, the factors contributing to mobile phone use while riding (MPUWR) among food delivery riders remain under-researched. Addressing this literature gap, the current study employs the Job Demands-Resources (JD-R) model and various socio-economic factors to examine the determinants of MPUWR. The research incorporates data from 558 delivery workers in Hanoi and Ho Chi Minh City, Vietnam. The study utilizes two analytical methods to empirically test the hypotheses, considering non-linear relationships between variables: Partial Least Square Structural Equation Modelling (PLS-SEM) and Artificial Neural Network (ANN). The results reveal mixed impacts of factors connected to job resources. Although social support appears to deter MPUWR, work autonomy and rewards seemingly encourage it. Furthermore, a predisposition towards risk-taking behaviour significantly impacts the frequency of mobile phone usage among delivery riders. Interestingly, riders with higher incomes and those who have previously been fined by the police exhibit more frequent mobile phone use. The findings of this study present valuable insights into the crucial factors to be addressed when designing interventions aimed at reducing phone use among food delivery riders.

Introduction: Responsible businesses actively engage in climate action, health, and safety initiatives as part of their corporate strategy. The outcomes of such initiatives could play an essential role in forming customers' loyalty. However, very few studies have aimed at understanding the relationship among such factors in the public transport (PT) context. As such, this investigation explores the direct impact of perception of health benefits, environmental benefits and safety on passengers’ loyalty intentions towards a PT service. The mediating roles of image and perceived value on these links are also considered. Methods: Partial Least Square - Structural Equation Modeling (PLS-SEM) was utilised to assess the measurement and develop structural models. A multi-group analysis (MGA) was also deployed to test the significant group differences. For this investigation, a sample of 866 individuals was collected from two cities in Vietnam. Results: The results indicate that there were significant relationships between these constructs and the loyalty intention of passengers. The perception of health benefits and image were the main factors affecting passengers’ loyalty in both cities. In contrast, the perception of environmental benefits had the weakest effect on the loyalty intention towards bus services. Conclusions: The results from this study could support the development of interventions to increase PT ridership in low-income countries. Promotional efforts to boost PT ridership should focus on highlighting the health benefits of using PT for passengers and the community. PT operators were also recommended to convey societal and environmental contributions through logos, graphic design, mission statements, slogans, and media relations to improve the image of the bus services.

In recent years, the growth of motorcycle-based ride-hailing and delivery services has led to an increase in traffic crashes involving these riders. Previous studies have indicated that the behavior of ride-hailing and delivery riders is influenced by work demands and individual characteristics. However, the extent to which risky riding behaviors depend on the type of riding and the interaction between road traffic context and risky behaviors remains unclear. Addressing these gaps, this study investigates factors influencing risky behaviors among motorcycle riders in Hanoi, Vietnam. By examining various rider traits (such as rider type, gender, and age) and aspects of the road traffic environment (such as police presence, number of road lanes, and weather), we aim to understand their contribution to risky riding behaviors. Through the observation of 9164 motorcycle riders (i.e., delivery, ride-hailing, and private motorcycle riders) at 31 intersections and decision tree analysis, the study underscores the significant impact of rider type on risky behaviors. Key findings include a higher tendency for both delivery riders and ride-hailing riders to run red lights, neglect to use turn signals, and the notable distraction of mobile phone use. Additionally, private riders are found to show a higher incidence of not wearing helmets even in locations with a police presence. These findings highlight the critical need for strategies to enhance road safety for all motorcycle riders. However, it is essential to recognize that the reasons behind risky behavior vary across different groups of motorcycle riders, from private to commercial riders. Therefore, we need more targeted strategies that address the specific factors influencing each group to effectively improve road safety for all.

Food delivery riders face significant road safety risks globally. Previous studies have primarily focused on the direct relationship between job demands, job resources, and road safety behaviors, often neglecting the potential indirect paths through dual processes, namely the health impairment process and the motivational process, which may lead to dangerous riding behaviors. Additionally, the impact of organizational citizenship behaviors on the safety of food delivery riders within the industry remains unexplored. This study aims to address these gaps by applying the dual processes of the Job Demands-Resources model (JD-R) to identify factors influencing the safety behaviors of food delivery riders in Vietnam. Data were collected through face-to-face surveys with 410 riders in public places. The findings show a nuanced interplay between job demands, resources, and safety behaviors. Specifically, job burnout acts as a bridge, mediating the influence of job demands on in-role safety behaviors. On the other hand, job resources-encompassing facets like job autonomy, performance feedback, technology support, and work support-indirectly shape both in-role and extra-role safety behaviors via the conduit of motivation. These resources not only bolster motivation but also serve as pillars in fostering a culture of safety among riders. This research not only deepens our understanding of the determinants of food delivery riders' safety behaviors but also highlights the pivotal role food delivery companies play in shaping these behaviors. By prioritizing the holistic well-being of their riders and offering robust support, these companies can foster an environment conducive to safety. Additionally, by integrating additional dimensions of job demands and resources into the JD-R model, this study paves the way for more comprehensive and nuanced future research in this domain.

Reducing risky behaviors and traffic violations is crucial for preventing road trauma among private and commercial motorcyclists. While legal interventions such as road rules and police enforcement have been somewhat effective, there is a gap in understanding how motorcyclists perceive these deterrents and the psycho-social factors influencing their effectiveness. This research aims to explore the interplay between motorcyclists’ psycho-social predispositions and their responses to legal interventions. It also compares two distinct groups of riders - private and commercial motorcyclists - within the urban environment of Da Nang, Vietnam, providing a nuanced consideration of the influence of work-related impacts on risky behavior, which can enable targeted interventions. We propose a theoretical model integrating the Theory of Planned Behavior and Deterrence Theory to analyze how psycho-social and punitive factors influence riders’ traffic violations. A total of 423 delivery riders and 411 private riders in Da Nang participated in the study. The results show that attitude, perceived behavioral control, and perceptions of deterrence significantly impact riders’ intentions to engage in risky behaviors, with delivery riders being particularly responsive to law enforcement and penalties. To enhance policy effectiveness, interventions should employ tailored enforcement strategies that account for the unique motivations and perceptions of each rider group. For example, increasing the visibility and consistency of law enforcement could be particularly impactful for delivery riders, who are more sensitive to immediate deterrents. Policy adjustments should also focus on reshaping riders’ attitudes toward safety and adjusting their perceived control over riding situations. By tailoring interventions to effectively influence each group's behavior, we can ultimately reduce traffic incidents.

Transitioning to electric motorcycles (EMs) can reduce dependence on carbon-based fuels, mitigate air pollution, and lower greenhouse gas emissions in countries where motorcycles dominate the transportation landscape. However, the factors influencing fleet electrification in these countries remain largely unknown. Given that this challenge pertains to the prior adoption of new technology, technology acceptance theories can provide valuable insights into the adoption of EMs. Additionally, misinformation about EM risks and self-assessment of knowledge could interact as determinants of adoption. This study integrates the Technology Acceptance Model (TAM), the Theory of Planned Behavior (TPB), and perceived risk to elucidate the impact of psychosocial factors on consumers' intentions to use EMs. Furthermore, it examines the direct and moderating effect of subjective knowledge about EM technology on the formation of this behavioral intention. Structural Equation Modeling (SEM) analysis was applied to investigate data collected from 762 respondents through personal interviews using a questionnaire. The results confirm that all original TAM and TPB constructs significantly influence behavioral intention, aligning with theoretical expectations. As hypothesized, perceived risk was found to exert a negative influence on the intention to adopt EMs. Additionally, subjective knowledge was observed to moderate the relationship between perceived usefulness and subjective norms concerning the intention to use EMs. These findings offer a roadmap for developing strategies aimed at encouraging adoption intentions toward EMs, particularly in countries like Vietnam.

Objective: The rapid development of information technologies and the COVID-19 pandemic have resulted in the proliferation of online food shopping and food delivery motorcyclists. In contrast to the relatively ample literature on factors influencing fatalities and risky riding behaviors of food delivery motorcyclists, little is known about the determinants of non-fatal crashes involving online food delivery riders. The present study examines the prevalence and factors of non-fatal crashes among food delivery riders. Methods: The self-reported data of 393 online food delivery riders were collected in Hanoi and Hochiminh city, Vietnam. Binary logit regression was used to investigate the factors associated with non-fatal crashes. Results: The findings showed that more than half of riders (54%) reported being involved in at least one crash in the last 12 months. The most common risky riding behaviors associated with the crashes included using a mobile phone while riding, neglecting turn signals, red-light running, riding when tired/sleepy, and speeding. The riders who were national migrants, married, and worked on planned delivery routes mainly alone were more likely to experience crashes. At the same time, adequate perceived rewards for their work prevent crash involvement. Perceived risk was not a significant predictor of self-reported crashes. Conclusions: Ensuring road safety for delivery riders requires a systemic effort involving multiple stakeholders, and the private sector plays a crucial role in discouraging risky riding behaviors. It is imperative for the government and regulatory bodies to redefine the delivery job to alleviate the strain on riders and provide resources such as rewards. Specifically, riders should be considered employees rather than partners. Furthermore, it is crucial for the police to take a more active role in preventing dangerous behaviors among delivery riders, such as running red lights. At the same time, supporting financial strategies should be implemented for delivery riders, particularly for those who are migrants or married and may face additional challenges.

Motorcycle riding is the principal mode of travel in low- and middle-income countries (LMICs). Motorcycle-based transport is regarded as highly problematic today due to reliance on fossil-based fuels, which contributes to climate change. Additionally, emissions from fuel combustion release air pollutants in urban areas, resulting in public health issues. Unfortunately, in LMICs, functioning and widespread public transport infrastructure will not be feasible in the near future due to economic and social tensions. As such, encouraging a mode shift from conventional motorcycles to electric motorcycles (EMs), a more sustainable transport mode, is a reasonable strategy for many jurisdictions. However, to develop effective programs to increase the adoption of EMs, it is necessary to have a better understanding of motives and barriers that determine the switching intention to EMs. To cover this gap, this investigation aims to develop a conceptual research model based on the Behavioural Reasoning Theory to explore the antecedents of the switching intention. Data from 751 conventional motorcycle users in Vietnam were used to test the model using partial least squares structural equation modeling (PLS-SEM). The moderating roles of trust and knowledge were also examined in this study. The results showed that ‘reasons for’ have no direct effect on the switching intention; however, this variable affects the intention indirectly via global motives. In contrast, ‘reasons against’ show a negative direct impact on the intention, and no indirect effect is found. The findings provide interesting insights for governments and the electric vehicle industry.

Food delivery riders are overrepresented in road crashes. Arguably, the increased risk experienced by food delivery riders is linked to the working conditions offered by the “gig economy”. Research is needed to fully understand the safety-related issues this vulnerable group of road users face daily and identify opportunities for counter measures. In this investigation, we proposed a new theoretical model to explain the risky behaviour of food delivery motorcyclists based on the well-established Job Demands-Resources (JD-R) model. Following the JD-R, we considered the impact of job demands (job aspects that require sustained effort) and job resources (job aspects that help achieve work-related goals, reduce job demands and stimulate personal development) on the risky riding behaviours of food delivery motorcyclists. The JD-R model was also extended with three constructs, including personal demands, personal resources, and perceived safety risk to explore the role of individuals' within-person aspects. The developed model was tested using data collected from 554 food delivery riders in the two biggest cities in Vietnam. The results showed that job burnout, job resources, and personal demands directly impact risky riding behaviours, in which job burnout was the most significant predictor. Constructs such as job demands, personal resources, and perceived safety risk were not significant predictors of risky riding behaviours. This research shows that organisation-level factors could be modified to prevent risky riding behaviour. The gig economy industry can do much more to improve the safety of delivery riders.

In the transport context, there has been limited research examining passengers' health-protective behaviour while travelling during a health-related crisis such as COVID-19. This study develops a conceptual model aiming to explore determinants associated with passengers' self-protective intentions using the context of ride-hailing services in Vietnam. Ride-hailing services are popular in countries where public transport is underdeveloped. The conceptual model is based on perceived risk and self-efficacy as the main predictor of self-protective intentions when using ride-hailing services. In addition, the proposed conceptual model explores the direct and indirect impact of subjective knowledge and the perceived effectiveness of preventive measures on self-protective intentions. The proposed conceptual model was tested on a large sample of ride-hailing users in Vietnam (n = 527). The structural equation modelling (SEM) analysis results indicate that self-efficacy has the highest total impact on self-protective behaviour, followed by subject knowledge and perceived effectiveness of preventive measures. Self-efficacy also plays a fully mediating role in the linkage between the perceived effectiveness of preventive measures implemented by ride-hailing organisations and the intention to engage in self-protective behaviour. The results of this study expand the current understanding of ride-hailing passengers' health-protective behaviour and contribute to the transport and public health literature.

The COVID-19 pandemic has brought new risks and stress for paid transport users worldwide. COVID-19 has changed mobility dynamics worldwide, including low- and middle-income countries (e.g., Vietnam). The present study aims to provide an in-depth understanding of ride-sourcing passengers' behavioural intentions when COVID-19 pandemic management successfully prevented community transmission by extending the TPB with two constructs: perceived virus infection risk and problem-focused coping. Using self-administered questionnaires, data were collected from ride-sourcing customers in Ho Chi Minh City (Vietnam). A total of 540 responses were used for validating the proposed theorethical model. The structural equation model results indicate that problem-focused coping is a multi-faceted construct with two dimensions: problem-solving and self-protection. Also, problem-focused coping has the highest total effect on the intention to use ride-sourcing services following a period of COVID-19 suppression (3 months without identified cases). The findings also reveal that attitude partially mediates the link between problem-focused coping and behavioural intention. The results of this study could be used to develop strategies to promote ride-sourcing services in the aftermath of the COVID-19 pandemic.

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.

Word-of-mouth (WOM) and intention to continue use (ICU) are the two critical components of customer loyalty towards a particular service. There has been a large body of research investigating the effect of determinants on the loyalty formation of public transport passengers. However, the impact of social cues from other passengers, which are part of the social environment, have received less attention. This study developed a theoretical model to examine the complex relationships among the cues from other passengers, perceived security and safety, perceived value, WOM and ICU. Cues from other passengers involved three dimensions: similarity, physical appearance, and suitable behaviour. These three dimensions were measured using a formative approach in structural equation modelling (SEM). Additionally, the moderating effects of demographic characteristics on the formation of public transport passenger behaviours were explored by multi-group SEM. The model was empirically tested using data collected from more than 870 bus passengers in two big cities in Vietnam (Ho Chi Minh and Danang city). The results showed that social cues from other passengers have a strong predictive power over the WOM and ICU of bus passengers. The study successfully demonstrated the critical role of demographic characteristics as moderators on loyalty formation. The findings reported in the present investigation provide several theoretical and practical implications.

On-demand food delivery involves transport services based on gig-economy models. Food delivery services rely on motorcycles in many jurisdictions, resulting in safety risks. Motorcycles are generally-two-wheeled and therefore inherently unstable. They also lack rider restraint or roll cage to minimise the consequences of a collision. Given the risks of motorcycle food delivery, there is a need to understand how job design may influence safety behaviour on the roads and regulate this economic activity to minimise potential harmful health consequences on the riders. This study investigated the impact of job demands and resources on food delivery riders' compliance with road safety regulations. The job demands-resources (JD–R) model was used as the theoretical framework for this research. Data were collected using a cross-sectional design involving 550 motorcycle delivery riders in two megacities in Vietnam. A structural equation analysis indicated that job demands (e.g., time pressure, work/life imbalance, working environment) and job resources (e.g., social support, feedback) influence, directly and indirectly, job strain, risk-taking attitude, and road safety compliance. Control variables such as age, gender, and income also influenced road safety compliance. This study has critical implications for the food delivery industry that can help achieve sustainable development goals in the global south.