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Literature review on the social challenges of autonomous transport
Abstract
This Short-Term Scientific Mission (STSM) was undertaken to contribute to the delivery of the scientific objectives of COST Action CA16222, which aims to address the “Wider Impacts and Scenario Evaluation of Autonomous and Connected Transport (WISE-ACT)”. To this end and in order to contribute to our understanding of the social impacts of autonomous transport, the STSM focused on topic no.4 of CA166222, “Literature review on social challenges of autonomous transport. The literature review identifies and categorizes the social benefits and costs of autonomous transport in terms of safety, accessibility to urban opportunities, privacy and security and the ethical dilemmas associated with the automating driving. Other important social issues discussed in this report include the potential impact of autonomous transport on employment; travel behaviours and the possible socio-environmental consequences; land use and urban spatial structure and gender. For each of these themes, possible equity implications are highlighted by addressing the question: which groups in society are more likely to enjoy the benefits and which groups might be affected negatively as we transition towards autonomous transport? Thus, this STSM report contributes directly to the WISE-ACT objective of examining the wider impacts of autonomous vehicle while expanding the existing network of researchers on the topic in Europe to provide a foundation for possible collaborative research in the future
... The potential benefits of AV usage can correspond to the problems faced by school travel. Low public acceptance would diminish the expected benefits of AVs [14][15][16][17][18]. An essential prerequisite for achieving the expected benefits is the general parental acceptance of using AVs to escort children to school. ...
Automated vehicle (AVs) technology is advancing at a rapid pace, offering new options for school travel. Parents play a decisive role in the choice of their child’s school travel mode. To enable primary and secondary school students to take AVs to and from school, it is necessary to understand the factors that affect parents’ intentions toward the new school travel mode. This study has three primary aims: (1) Discovering parents’ intentions to escort children by AV and their potential determinants. (2) Constructing the Hybrid Choice Model (HCM) to examine the effects of parents’ socioeconomic attributes, psychological factors, and travel attributes on using AVs to escort their children. (3) Raising practical implications to accelerate AV applications in school travel. The findings suggested that knowledge of AVs is the most important factor influencing parental intentions. Perceived usefulness, attitude, and perceived risk had significant effects on parental intentions. The direct effects of public engagement and perceived ease of use on parental intentions were not significant. Finally, this research can provide decision-making support for the government to formulate measures to promote AV application in school travel.
Highly automated passenger vehicles hold great potential to alleviate traffic congestion, enhance road safety, and revolutionize the travel journey. However, while much attention has been given to the technical aspects of this technology, the investigation of public acceptance remains crucial for successful implementation in the global market. To address this gap, this paper introduces innovative research that explores the predictors influencing consumers’ intention to adopt highly automated passenger vehicles. Through an online questionnaire-based survey conducted among European adults, we extend the Unified Theory of Acceptance and Use of Technology (UTAUT) framework to incorporate three additional constructs: perceived reliability/trust, perceived financial cost, and perceived driving enjoyment. The key findings of this study underscore the significance of driving enjoyment, financial cost, social influences, and reliability/trust as influential predictors of consumers’ intention to adopt highly automated passenger vehicles. By considering these factors, automotive stakeholders can gain valuable insights to develop effective strategies and approaches for the successful implementation of highly automated passenger vehicles in the near future. Last, its innovations pave the way for a transformative shift in transportation, enabling the realization of safer, more efficient, and enjoyable travel experiences for individuals and society as a whole.
Increasingly guided by the use of ICT, the flow of humans and materials, smart cities and autonomous mobility amalgamate into a game changer in urban planning. This paper critically explores the role of autonomous (driverless) vehicles in plans for urban futures. By looking into the urban plans of 10 European capitals, we investigate the anticipated promises and hazards of autonomous vehicles. Theoretically, the paper draws upon critical urban mobilities studies that invite interlinking carbon reduction, smart cities and mobility planning. By examining these plans, the paper critically evaluates current urban planning for autonomous vehicles by asking whether one can identify any links to the United Nations Sustainable Development Goals of sustainable cities and communities. A practice-based view on automation is then suggested as a pathway to promote a thorough sustainable mobility transition. It is concluded that none of the plans of the 10 capitals studied require AVs to integrate with public means of transport or to be fuelled by renewable energy sources. Hence, AVs are likely to individualise and intensify the existing automobility regime further and emissions are likely to increase, according to the comparative urban analysis. We therefore conclude that urban policy-making needs to contest the existing techno-centric conception of autonomous vehicles if these are to support the sustainable development goals of cities.
High-level autonomous vehicles (AVs) are likely to improve the quality of children’s travel to and from school (such as improve travel safety and increase travel mobility). These expected benefits will not be presented if parents are not willing to use AVs. Therefore, it is necessary to explore parents’ intentions of using AVs to transport children to and from school (parents’ intentions). This study has two primary aims: 1) Exploring parents’ intentions and their potential determinants. 2) Making recommendations for manufacturers to develop and market AVs suitable for school travel based on the research results. Research results show that face consciousness with Chinese characteristics can significantly affect parents’ intentions. Knowledge of AVs is the most significant factor in influencing parents’ intentions. Perceived usefulness, attitude towards school travel in AVs, and perceived risk can significantly affect parents’ intentions. The direct impact of perceived ease of use and public engagement on parents’ intentions is not significant. Finally, this research could provide decision-making support for governments and manufacturers to formulate relevant policies and marketing strategies, promoting parents’ acceptance of AVs.
The topic of emerging mobility services has quickly received attention from scholars and media in recent years. Mobility services employing autonomous buses in transport systems is one such example. Mobility services using emerging technologies are expected to create social, economic, and environmental benefits. However, the potential benefits of emerging mobility services using autonomous technology will not be realized unless self-driving vehicles are accepted and used by many passengers. The recent worldwide pandemic caused us to recognize the benefits of autonomous technologies. This pretest-and-posttest designed research examines the predictors of willingness to ride autonomous buses in a closed environment. The results of this study indicate that a combination of factors, such as societal benefits, attitude and technology adoption, directly and indirectly influence an individual’s acceptance of autonomous buses. This study finds that passengers’ willingness to use emerging mobility services after a sample riding experience is higher than before having a sample riding experience.
Surveys of behavior could benefit from information about people’s relative ranking of choice alternatives. Rank ordered data are often collected in stated preference surveys where respondents are asked to rank hypothetical alternatives (rather than choose a single alternative) to better understand their relative preferences. Despite the widespread interest in collecting data on and modeling people’s preferences for choice alternatives, rank-ordered data are rarely collected in travel surveys and very little progress has been made in the ability to rigorously model such data and obtain reliable parameter estimates. This paper presents a rank ordered probit modeling approach that overcomes limitations associated with prior approaches in analyzing rank ordered data. The efficacy of the rank ordered probit modeling methodology is demonstrated through an application of the model to understand preferences for alternative configurations of autonomous vehicles (AV) using the 2015 Puget Sound Regional Travel Study survey data set. The methodology offers behaviorally intuitive model results with a variety of socio-economic and demographic characteristics, including age, gender, household income, education, employment and household structure, significantly influencing preference for alternative configurations of AV adoption, ownership, and shared usage. The ability to estimate rank ordered probit models offers a pathway for better utilizing rank ordered data to understand preferences and recognize that choices may not be absolute in many instances.
The emergence of fully Automated Vehicles (AVs) is expected to occur in the next 10 to 30 years. The uncertainties related to AVs pose a series of questions about what the societal consequences of such technology are. Mainly, what are the consequences of AVs regarding accessibility? This paper uses Geurs and Van Wee’s definition of accessibility to give an exploratory answer to this question. Using a scenario-based approach which allows identifying critical decisions that will emerge shortly (or are already emerging) concerning automated travelling, this paper proposes that AVs have great potential to both seriously aggravate and considerably alleviate accessibility problems. A great deal will depend on how these critical decisions will be approached and the choices that will be made. This debate is most needed because existing research on AVs tends to focus on how to make them a commercially viable and safe technological enterprise, and on what their benefits and drawbacks are regarding variables such as carbon emissions, energy consumption, and total miles travelled. Narratives of this nature can be problematic, as they are unlikely to promote sufficient awareness about the real disruptive potential of AVs. It is crucial that stakeholders realise the extent to which—if the governance of AVs implementation processes is not taken very seriously, and the identified critical decisions are not carefully approached—these machines can materialise a dystopian mobility future.
This article proposes a social phenomenology of intentional sharing and togetherness from a degrowth perspective: extending human relations instead of market relations; deepening democracy; defending ecosystems; and realising a more equal global distribution of wealth. Social phenomenology looks beyond individual mutual exchange to the rich but fragile social construction of collectively negotiated ethical purpose. Intentional communities of cohousing are identified as part of a solution to dismantle privatised, conspicuous consumption. This approach challenges the tendency in popular sharing economy discourse to conflate different types of togetherness, highlighting instead the social significance of skilful cooperation and conviviality in groups and associations.
This paper presents a novel simulation model that shows the dynamic and complex nature of the innovation system of vehicle automation in a quantitative way. The model simulates the innovation diffusion of automated vehicles (AVs) on the long-term. It looks at the system of AVs from a functional perspective and therefore categorizes this technology into six different levels. Each level is represented by its own fleet size, its own technology maturity and its own average purchase price and utility. These components form the core of the model. The feedback loops between the components form a dynamic behavior that influences the diffusion of AVs. The model was applied to the Netherlands both for a base and an optimistic scenario (strong political support and technology development) named "AV in-bloom". In these experiments, we found that the system is highly uncertain with market penetration varying greatly with the scenarios and policies adopted. Having an 'AV in bloom' ecosystem for AVs is connected with a great acceleration of the market take-up of high levels of automation. As a policy instrument, a focus on more knowledge transfer and the creation of an external fund (e.g. private investment funds or European research funds) has shown to be most effective to realize a positive innovation diffusion for AVs. Providing subsidies may be less effective as these give a short-term impulse to a higher market penetration, but will not be able to create a higher market surplus for vehicle automation.
In recent years, the world has seen the emergence of a number of urban projects which, under the banner of experimentation, have promoted alternative models of city-making capable, in theory, of creating sustainable built environments. Among these supposedly experimental models, the smart city and the eco-city stand out in terms of geographical diffusion, and are hailed by their advocates as the mark of an innovative urbanism based on a scientific approach to urban development. Through the analysis of Hong Kong and Masdar City, examples of a smart-city agenda and an eco-city project respectively, this paper questions the sustainability of so-called smart cities and eco-cities, by investigating the extent to which they are developed in a controlled and systematic manner as their developers claim. More specifically, the paper counterclaims mainstream understandings of smart and ecological urbanism, arguing that what are promoted as cohesive settlements shaped by a homogeneous vision of the sustainable city, are actually fragmented cities made of disconnected and often incongruous pieces of urban fabric. Theoretically, these claims are discussed through the concept of Frankenstein urbanism which draws upon Mary Shelley’s novel as a metaphor for unsuccessful experiments generated by the forced union of different, incompatible elements.
Emerging transportation technologies have the potential to significantly reshape the transportation systems and household vehicle ownership. Key among these transportation technologies are the autonomous vehicles, particularly when introduced in shared vehicle fleets. In this paper, we focus on the potential impact that fleets of shared autonomous vehicles might have on household vehicle ownership. To obtain initial insights into this issue, we asked a sample of university personnel and members of the American Automobile Association as to how likely they would consider relinquishing one of their household's personal vehicles if shared autonomous vehicles were available (thus reducing their household vehicle ownership level by one). For single-vehicle households, this would be relinquishing their only vehicle, and for multivehicle households (households owning two or more vehicles) this would be relinquishing just one of their vehicles. Possible responses to the question about relinquishing a household vehicle if shared autonomous vehicles are present are: extremely unlikely, unlikely, unsure, likely, and extremely likely. To determine the factors that influence this response, random parameters ordered probit models are estimated to account for the likelihood that considerable unobserved heterogeneity is likely to be present in the data. The findings show that a wide range of socioeconomic factors affects people's likelihood of vehicle relinquishment in the presence of shared autonomous vehicles. Key among these are gender effects, generational elements, commuting patterns, and respondents' vehicle crash history and experiences. While people's opinions of shared autonomous vehicles are evolving with the continual introduction of new autonomous vehicle technologies and shifting travel behavior, the results of this study provide important initial insights into the likely effects of shared autonomous vehicles on household vehicle ownership.
The absence of effective access to opportunities and services is a key contributor to poor socio-economic and health outcomes in underserved neighborhoods in many cities. The city of Columbus, Ohio, USA is attempting to enhance residents’ accessibility by providing new public transit services. These new services include a major Transit System Redesign (TSR) of the conventional bus network and the introduction of a new bus rapid transit, named CMAX. Using a high-resolution space-time accessibility measure, we analyze whether these new public transit services will change residents’ accessibility to job and healthcare in an underserved neighborhood of Columbus. Also, we assess whether enhancing the CMAX service to reduce delays (e.g., reserved lane, off-board payment system) will improve accessibility. The high-resolution space-time accessibility measure in this study uses published public transit schedules via the General Transit Feed Specification (GTFS). We use multiple departure times during a day to account for the temporal fluctuations of accessibility based on the transit schedule changes. We also consider the operating hours of job opportunities and healthcare services. Results suggest that the TSR yields ambiguous benefits for accessibility to jobs and healthcare. However, the new CMAX service and its potential upgrades lead to a substantial increase in both job and healthcare accessibility. The results can be used for city officials and urban planners to evaluate the effectiveness of public transit innovations in improving accessibility.