RESUMO
This study aims to evaluate the effects of the COVID-19 pandemic and policies to control the outbreak such as quarantine, jobs closures, and traffic restrictions on active travel of Central Businesses District (CBD) residents in comparison with the non-CBD residents of Shiraz, Iran; and examine the relationship between perceived built environment factors and active travel in the pre- and post-outbreak. The results indicate that the most effective individuals factors on active travel are bicycle and car ownership, and built environment characteristics are walkability, bikeability, security, aesthetics, traffic calming, intersections safety, land uses diversity and density, destination accessibility, street pattern, and bike-sharing infrastructures. Also, the average walking and cycling time of the CBD residents before and after the outbreak is more than that of the non-CBD residents, which is due to the quality of built environment factors in the CBD. A built environment with mixed, diverse, dense and accessible land uses, as well as safe and secure cycling and walking routes have major effects on active travel in the crisis. Hence, it is suggested that policymakers take action to make the environment more people-friendly to maintain citizens' mobility in the critical situation, when many travel modes have lost their efficiency.
RESUMO
BACKGROUND AND AIMS: To increase the older adults' mobility during the COVID-19 outbreak, providing appropriate conditions for using different transportation modes and organizing transportation facilities for the older adults are essential. Hence, this study aims to evaluate and compare factors affecting the older adults' travel mode choice to investigate transportation policies for increasing their independent mobility in the post-outbreak that has not been addressed in previous research. METHODOLOGY: The population of this cross-sectional study consisted of Isfahan citizens aged 60 years and over. For interviews based on a structured questionnaire, 453 participants were randomly selected in 15 municipality districts of Isfahan. Multinomial logistic models were used to analyze the data. FINDINGS: The results show that despite the decrease in the average frequency of travels per week, the increase in the share of walking and cycling modes, making shopping and recreational travels on foot, and cycling can indicate the resilience of walking and cycling in critical situations. The results also reveal that active modes have effective roles in the older adults' mobility in the post-outbreak because they are not subject to traffic restrictions like private vehicles and social constraints and crowd avoidance like public transportation. DISCUSSION AND CONCLUSION: Policies such as the proper location of facilities, increasing density and mixing of land uses, landscaping, traffic reduction, increasing ownership of bicycle and tricycle (to eliminate the problems of falling in getting on and off the bicycles), driving training courses for the safe driving, and intersections safety improvement are essential to maintain the older adults' mobility after the outbreak. With more capacity and low occupancy, the public transportation system, high-quality accessibility, and safe routes will also attract the older adults' travels in the crisis.
RESUMO
OBJECTIVE: The prevalence of Driving Under the Influence (DUI) of alcohol or drugs has become a prominent factor in the occurrence of severe road crashes worldwide. Driving often occurs after visiting, and presumably drinking, at Alcohol-Serving Establishments (ASEs), and is thus of interest as a possible source of DUI events. METHODS: We apply statistical and machine learning models to the Victorian Integrated Survey of Travel and Activity (VISTA) to identify factors that contribute to driving in trips from ASEs in Australia's state of Victoria. RESULTS: Our results highlight that approximately 10% of individuals who traveled to ASEs as car passengers switched to driving after leaving there. It was also observed that travel distance shorter than 1 km and activity duration between 3 and 4 h positively impacts the mode switching from car driver to other modes in ASEs trips. Further findings illustrate a decline in driving after midnight, with an increase in the use of public transport and taxis. Individuals prefer driving for long-distance ASEs trips and walking for short distances. Going home also increased the likelihood of driving, whereas engaging in other social activities did not. Longer stays at ASEs and leaving vehicles overnight reduce the propensity to drive, likely due to increased alcohol consumption during these times. CONCLUSIONS: These findings suggest behavioral adjustments that can mitigate driving under the influence. Specifically, people may walk for short-distance trips and use public transport or taxis for longer ASEs trips.
RESUMO
Aims: Since active mobility is essential for older adults' health and well-being, especially in crises, this study aims to investigate and compare factors affecting active mode choice of older adults (AMCOA) in the pre- and post-COVID-19 outbreak and evaluate changes in their active mobility behavior and no research has been conducted this subject. Methodology: The sample study of this cross-sectional study includes individuals over 60 years old residing in Isfahan, Iran. For interviews based on a structured questionnaire, which was drafted based on reviewing the literature, 453 participants were randomly selected in 15 municipality districts of Isfahan. A binary logistic regression model was used to analyze the data. Result and Discussion: The results indicate that in the post-outbreak the average walking duration per week decreased from 59 to 29 min; while, the share of this mode has increased from 40% to 65%. Also, the share of bicycles and the average cycling duration per week increased from 9% to 18% and from 9 to 15 min, respectively. Moreover, trip frequency, bicycle ownership, quality of walking and cycling routes, intersections safety, neighborhood security and greenery, traffic calming, CBD accommodation, and public transportation accessibility have positive effects on AMCOA; while, trip distance and vehicle ownership affect negatively. The results reveal that older adults have turned to the bicycle for most of their long trips during the pandemic because it is not subjected to traffic restrictions. Besides, the findings show that increasing bicycle ownership and improving bike-sharing infrastructure make the bicycle a resilient alternative when public transportation and private vehicles are not efficient. Conclusion: Policymakers and urban planners should consider that an elderly-friendly neighborhood with mixed, dense, and accessible land uses and services, as well as safe and secure routes can increase older adults' active mobility in the crises. Aims: Since active mobility is essential for older adults' health and well-being, especially in crises, this study aims to investigate and compare factors affecting active mode choice of older adults (AMCOA) before and during the first wave of COVID-19 outbreak and evaluate changes in their active mobility behavior and no research has been conducted this subject.