It has been reported that motor vehicle emissions contribute nearly a quarter of world energy-related greenhouse gases and cause nonnegligible air pollution primarily in urban areas. Reducing car use and increasing ecofriendly alternative transport, such as public and active transport, are efficient approaches to mitigate harmful environmental impacts caused by a large amount of vehicle use. Besides the environmental benefits of promoting alternative transport, it can also induce other health and economic benefits. At present, a number of studies have been conducted to evaluate cobenefits from greenhouse gas mitigation policies. However, relatively few have focused specifically on the transport sector. A comprehensive understanding of the multiple benefits of alternative transport could assist with policy making in the areas of transport, health, and environment. However, there is no straightforward method which could estimate cobenefits effect at one time. In this paper, the links between vehicle emissions and air quality, as well as the health and economic benefits from alternative transport use, are considered, and methodological issues relating to the modelling of these cobenefits are discussed.

Background: This study aimed to investigate the relationship between road users' attitudes and their travel behaviors, to explore the acceptability of traffic measures for sustainable transport promotion, and to investigate predictors of intention to reduce car use. Method: Using a cross-sectional survey, 381 residents in Adelaide were interviewed via a computer-assisted telephone interviewing system. Descriptive analysis was used to describe demographic, travel behavior, and effectiveness of potential traffic measures. Attitude statements relating to transport use were factor-analyzed into four factors: “sustainable transport benefits awareness,” “traffic problems awareness,” “cycling safety concerns and car use comfort” and “public transport negative emotion.” Scores on these factors were analyzed with Spearman's correlation and logistic regression. Results: In general, “push” measures (e.g. more expensive petrol) were considered less effective than “pull” measures (e.g. cheaper public transport). “Cycling safety concerns and car use comfort” and “public transport negative emotion” factors were positively related to the annual driving distance of the participants. Both “sustainable transport benefits awareness” and “traffic problems awareness factors” were positively associated with the acceptance of measures for sustainable transport promotion. Furthermore, participants who used cars more frequently, had high sores on “cycling safety concerns and car use comfort,” and had a bachelor degree or higher would be less likely to reduce car use. Conclusion: These findings indicate the importance of increasing public awareness of traffic problems and perceived benefits of sustainable transport as a potential strategy to reduce car use.

Background: Fatigued driving is one of the leading factors contributing to road crashes in the trucking industry. The nature of trucking, prolonged working time, and irregular sleep patterns can negatively impact drivers’ health and wellbeing. However, there is limited research in Australia investigating the impact of demographic, occupational, or lifestyle factors on fatigue among truck drivers. Objective: This cross-sectional study examines the role of demographic, occupational, lifestyle, and other health risk factors associated with fatigue among Australian truck drivers. Method: This study was part of a larger study that used a short online survey with a follow-up telephone survey to capture in-depth information on a wide range of determinants related to truck drivers’ physical and mental health outcomes. Fatigue was measured by three questions, including the frequency of fatigue, fatigue management training, and strategies used to combat fatigue. Multivariate regression analysis was used to determine the specific impact of demographics, occupational factors, lifestyle factors, and other health risk factors on fatigue. Results: In total, 332 drivers completed both the online and telephone surveys; 97% were male, representing drivers from broad age groups and professional experience. The odds of being in the high-risk fatigue group were nearly three times higher in drivers who worked 40–60 h compared to those who worked < 40 h. Poor sleep increased the odds of high-risk fatigue by seventimes (95% CI: 2.26–21.67, p = 0.001). Drivers who reported experiencing loneliness also had double the odds of being at high risk of fatigued driving. Conclusions: The increased risk of fatigue in truck drivers is associated with prolonged working hours, poor sleep, and social aspects such as loneliness. Further interventions seeking to reduce driver fatigue should consider the impact of work schedules, the availability of quality sleeping spaces, and the level of social connections.

Aims: This study aimed to describe risk reduction behaviors regarding ambient particulate matter with a diameter of 2.5 μm or less (PM_2.5) among outdoor exercisers and to explore potential factors influencing those behaviors in the urban area of Nanjing, China. Method: A cross-sectional convenience sample survey was conducted among 302 outdoor exercisers in May 2015. Descriptive analysis was used to describe demographics, outdoor physical activity patterns, knowledge of PM_2.5 and risk reduction behaviors. Multivariate logistic regression analysis was then used to explore factors that influence the adoption of risk reduction behaviors. Results: The most common behavior to reduce PM_2.5 exposure was minimizing the times for opening windows on hazy days (75.5%), and the least common one was using air purifiers (19.3%). Two thirds of respondents indicated that they wore face masks when going outside in the haze (59.5%), but only 13.6% of them would wear professional antismog face masks. Participants adopting risk reduction behaviors regarding PM_2.5 exposure tended to be females, 50–60 year-olds, those with higher levels of knowledge about PM_2.5 and those who had children. Conclusions: These findings indicate the importance of improving knowledge about PM_2.5 among outdoor exercisers. Educational interventions should also be necessary to guide the public to take appropriate precautionary measures when undertaking outdoor exercise in high PM_2.5 pollution areas.

Objective: Health and social care workers have a significantly higher rate of work-related injury and illness than workers in other industries. The objective of this study was to examine the rate and distribution of work-related injury and illness in the Victorian health and social care sector by demographic, occupation and injury characteristics. Methods: A retrospective cohort analysis was conducted of population-level workers’ compensation claim records, including 43 910 claims from the Victorian health and social care over a 10-year period from 2006 to 2015. Negative binomial regression was used to compare claim rates between occupation categories. Results: The 55–64 year age group had the highest injury rate compared with the 15–24 year age group (rate ratio 2.26; 95% confidence interval 1.91–2.68). Ambulance officers had the highest overall injury claim rates and had a fluctuating trend of musculoskeletal, psychological and neurological injury claims during the study period. Social workers had the second highest rate of psychological injury and up to threefold the risk of psychological injury compared with nurse professionals. Conclusions: Although the greatest volume of claims was observed in nurses, ambulance officers and paramedics were at higher risk for injury, followed by social workers. The differential patterns of injury and illness among occupation groups suggests a need for primary and secondary prevention responses tailored by occupation. What is known about the topic?: The health and social care industry is a large and diverse industry. Health and social care workers encounter unique occupational health risks, with exposure varying by occupation. What does this paper add?: This study provides evidence of a high rate of work-related injury and illness among health and social care workers, with ambulance officers and social workers at highest risk. Notably, there are also high rates of psychological injury claims among these two occupations. What are the implications for policy makers?: This study compares rates of compensable injury and illness in the Victorian health and social care sector by occupation. The study provides guidance on which occupations and which health conditions require greatest attention.