Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
13
result(s) for
"Thomopoulos, Nikolas"
Sort by:
The autonomous car—a blessing or a curse for the future of low carbon mobility? An exploration of likely vs. desirable outcomes
Certain developed countries have experienced the ‘peak car’ phenomenon. While this remains to be confirmed longitudinally, it looks certain that future mobility in Europe and elsewhere will be shaped by a particular technological development: driverless or autonomous transport. The ‘autonomous car’ ignites the imagination, yet the research and debate on this topic largely focus on the ‘autonomous’ and not adequately on the ‘car’ element. Like any new technological development, autonomous transport presents ample opportunities to better our mobility system, but similarly it carries risks and can lead into a future mobility that exacerbates, rather than relieves, current deficiencies of our mobility systems, including its high carbon and high cost characteristics. Now it is high time to explore these, before we lock ourselves into the autonomous car future. Using Low Carbon Mobility (LCM) as a guiding framework to assess mobility patterns and based on an extensive literature review, this paper aims to explore where there is a gap between the likely and desirable outcomes when developing the autonomous car and suggest how we might reduce it. Moreover, enhancing on global empirical evidence and forecasts about the opportunities and threats emerging from ICT deployment in transport and initial evidence on the development of the autonomous car, the paper concludes that a desirable outcome will only come if technological development will be accompanied by a social change. A change where public and sharing will be seen as superior to private and individual transport, could make the autonomous car a blessing.
Journal Article
Driving Sustainability: Carbon Footprint, 3D Printing, and Legislation concerning Electric and Autonomous Vehicles
In recent years, there has been a remarkable development in the technology and legislation related to electric and autonomous vehicles (i.e., EVs/AVs). This technological advancement requires the deployment of the most up-to-date supporting infrastructure to achieve safe operation. Further infrastructure is needed for Level 5 vehicles, namely the introduction of super-fast wireless 5G technology. To achieve harmony between the rapid technological advancement of EVs/AVs and environmental preservation, enacting legislation related to their sustainable use is vital. Thus, this manuscript provides a review of the technological development of EVs/AVs, with a special focus on carbon footprints and the implementation of additive manufacturing using recycled materials. While EVs have a 12.13% increased carbon footprint compared to conventional vehicles, AVs with basic and advanced intelligence features have an increased carbon footprint of 41.43% and 99.65%, respectively. This article emphasizes that the integration of 3D-printed components has the potential to offset this impact with a substantial 60% reduction. As a result, custom-made solutions involving 3D printing are explored, leading to greater speed, customization, and cost-effectiveness for EVs/AVs. This article also lists the advantages and disadvantages of the existing legislation in Spain, the United Kingdom, and the western Balkans, demonstrating various approaches to promoting electric mobility and the development of autonomous vehicles. In Spain, initiatives like the MOVES program incentivize EV adoption, while the UK focuses on expanding the EV market and addressing concerns about EVs’ quiet operation. In the western Balkans, the adoption of legislation lags behind, with limited incentives and infrastructure for EVs. To boost sales, legal mechanisms are necessary to reduce costs and improve accessibility, in addition to offering subsidies for the purchase of EVs. To this end, an analysis of the incentive measures proposed for the development and use of renewable power sources for the supply of energy for EVs/AVs is presented.
Journal Article
The Role of Human Operators in Safety Perception of AV Deployment—Insights from a Large European Survey
Autonomous vehicles are anticipated to play an important role on future mobility offering encouraging solutions to today’s transport problems. However, concerns of the public, which can affect the AVs’ uptake, are yet to be addressed. This study presents relevant findings of an online survey in eight European countries. First, 1639 responses were collected in Spring 2020 on people’s commute, preferred transport mode, willingness to use AVs and demographic details. Data was analyzed for the entire dataset and for vulnerable road users in particular. Results re-confirm the long-lasting discourse on the importance of safety on the acceptance of AVs. Spearman correlations show that age, gender, education level and number of household members have an impact on how people may be using or allowing their children to use the technology, e.g., with or without the presence of a human supervisor in the vehicle. Results on vulnerable road users show the same trend. The elderly would travel in AVs with the presence of a human supervisor. People with disabilities have the same proclivity, however their reactions were more conservative. Next to safety, reliability, affordability, cost, driving pleasure and household size may also impact the uptake of AVs and shall be considered when designing relevant policies.
Journal Article
Modeling Cross-National Differences in Automated Vehicle Acceptance
The technology that allows fully automated driving already exists and it may gradually enter the market over the forthcoming decades. Technology assimilation and automated vehicle acceptance in different countries is of high interest to many scholars, manufacturers, and policymakers worldwide. We model the mode choice between automated vehicles and conventional cars using a mixed multinomial logit heteroskedastic error component type model. Specifically, we capture preference heterogeneity assuming a continuous distribution across individuals. Different choice scenarios, based on respondents’ reported trip, were presented to respondents from six European countries: Cyprus, Hungary, Iceland, Montenegro, Slovenia, and the UK. We found that large reservations towards automated vehicles exist in all countries with 70% conventional private car choices, and 30% automated vehicles choices. We found that men, under the age of 60, with a high income who currently use private car, are more likely to be early adopters of automated vehicles. We found significant differences in automated vehicles acceptance in different countries. Individuals from Slovenia and Cyprus show higher automated vehicles acceptance while individuals from wealthier countries, UK, and Iceland, show more reservations towards them. Nontrading mode choice behaviors, value of travel time, and differences in model parameters among the different countries are discussed.
Journal Article
Who Is Willing to Share Their AV? Insights about Gender Differences among Seven Countries
The introduction of shared autonomous vehicles into the transport system is suggested to bring significant impacts on traffic conditions, road safety and emissions, as well as overall reshaping travel behaviour. Compared with a private autonomous vehicle, a shared automated vehicle (SAV) is associated with different willingness-to-adopt and willingness-to-pay characteristics. An important aspect of future SAV adoption is the presence of other passengers in the SAV—often people unknown to the cotravellers. This study presents a cross-country exploration of user preferences and WTP calculations regarding mode choice between a private non-autonomous vehicle, and private and shared autonomous vehicles. To explore user preferences, the study launched a survey in seven European countries, including a stated-preference experiment of user choices. To model and quantify the effect of travel mode attributes and socio-demographic characteristics, the study employs a mixed logit model. The model results were the basis for calculating willingness-to-pay values for all countries and travel modes, and provide insight into the significant heterogeneous, gender-wise effect of cotravellers in the choice to use an SAV. The study results highlight the importance of analysis of the effect of SAV attributes and shared-ride conditions on the future acceptance and adoption rates of such services.
Journal Article
A large-scale dataset for analysing remote working in urban and rural areas across Europe
This Data Descriptor presents the collected data on remote work among urban and rural workers, emphasizing differences in perceived flexibility, adaptability, preferences, career impacts, well-being, and productivity. The survey, conducted via Prolific between July and August 2024, captured data from 20,013 participants globally with European nationality, offering insights into the benefits and challenges faced by remote workers. Beyond its initial scope, the dataset can be reused to support a wide range of future studies and policy development initiatives. For instance, researchers can utilize this dataset to explore trends in work-life balance, productivity, and urban policy and planning related to remote work. Additionally, urban planners and policymakers can leverage the data to inform strategies for urban and regional development, infrastructure forecasting, planning, and community support in diverse geographic areas. The dataset’s granularity on socio-economic factors makes it an invaluable resource for developing targeted policies that address urban-rural disparities and foster sustainable remote working arrangements across Europe.
Journal Article
