ABSTRACT
Until recently, addressing the environmental externalities associated with the use of the private car and single occupancy vehicles has been the focus of the airport ground access policies worldwide. However, with the emerging unprecedented challenges of the COVID-19 pandemic, which have already changed the way we live, work, and travel, encouraging a change in commuter behavior has become even more important. This has necessitated that existing strategies be reconsidered in favor of adapting to a highly uncertain ‘‘COVID-19 world.'' Historically, there has been a dearth of literature relating to airport employees' ground access even though as a group employees represent an important segment of airport users with complex access requirements. This paper therefore focuses on airport employee related airport ground access strategies considering an emerging understanding of the future impacts of COVID-19 on global air travel. Pre-COVID strategies are investigated by conducting a documentary analysis of the most recent ground access strategies of 27 UK airports. The findings reveal that airport ground access strategies were mainly focused on setting targets and producing policy measures in favor of reducing car use and increasing the use of more sustainable transport modes including public transport, car sharing, and active travel (walking, cycling). However, measures encouraging public transport and car sharing will be more difficult to implement because of social distancing and fear of proximity to others. Instead, initiatives encouraging remote working, active travel, and improved staff awareness will be at the forefront of the future ground access strategy development. © National Academy of Sciences: Transportation Research Board 2021.
ABSTRACT
This study relied on primary data from transportation users to investigate the impact of the Covid-19 pandemic on shared mobility types. The study used ordinal logistic regression models to explore the relationship between Covid-19 spread-mitigative protocols and the willingness to share trips with family, friends, and strangers. Travellers who were moderately affected by social distancing had [0.356 (95% confidence interval (CI) = 0.189 - 0.669; p = 0.05)] times the rate willing to share public vehicles and [0.492 (95% CI = 0.189 - 0.268; p = 0.001)] times the rate willing to share private cars than commuters who mostly affected. Commuters with a minor extent of means of transportation change at (α < 0.0001) significance level had 0.330 times the rate willing to share personal cars with family and friends. At the same time, 0.434 times the rate (α < 0.01) willing to share public vehicles with strangers compared to commuters who had a major extent of means of transportation change. The prevalence rates of change were higher during Covid-19 than precovid, showing that the pandemic set an impetus for a modal shift from public to private vehicular use, with a probable effect on willingness to share trips postcovid, ceteris paribus. Consequently, the study concludes that the transportation regulators could continue to sensitise travellers, regulate passenger spacings, monitor and enforce gears to make shared mobility more appealing to people during and post-pandemic periods.
ABSTRACT
The aim of this study is to reconnoiter factors that affect travel behavior and decision making for a shopping trip of the elderly during the before and intra that COVID-19 pandemic. This is a quantitative that intends to determine key factors that affect elderly behavior in terms of private and public mode transportation. The study collected data from 400 elderly people of Thai nationality. Data was collected through Cochran unknown sample size computation from a population of people who were aged sixty and over in Thailand. Exploratory factor analysis was practiced for data analysis and grouping variables by rotation varimax that appear three main factors which were comfort travel;factors arising from the transportation service, cautious;the effects of external stimuli that raise concerns about the spread of the epidemic and reliability;travel convenience and assurance. The findings should be useful and helpful data source in term of doing research development, planning and in any purposes for transportation department or any organization. © 2022 IEEE.
ABSTRACT
With the impact of COVID-19, more people are choosing to travel by private cars, which will cause problems such as traffic congestion. It is essential for traffic engineers to have real-time traffic volume, speed, and individual vehicle length. In this study, the ACC7350 millimeter-wave radar was tested, and its advantages and disadvantages were analyzed in vehicle speed, distance from the radar, and vehicle trajectory. The speed detection error between MWR and GPS was within ±6%, and the distance detection error was ±20%. Then the traffic flow detection results of the camera and millimeter-wave radar were compared and analyzed. Results show that the mistakes of traffic flow detection based on vision and MWR are ±4% and ±13%, respectively. Finally, we proposed a traffic data processing method combined with a camera-based target tracking algorithm. © 2021 SPIE.