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There is a heavy dependence on cars for people living in rural areas and small towns. The countryside has so far been left out of the transition to carbon-free transport, and public transport shares are low in rural areas. New information and communication technology (ICT) solutions and autonomous vehicles (AVs) have the potential to improve the conditions for public transport in rural areas, as they may increase efficiency and reduce costs. Still, these technological novelties are rarely tested in rural settings and policy focus and pilot tests have occurred almost exclusively in cities. The aim of this chapter is to explore the conditions and challenges for public transport in rural areas through ICT and AVs. The authors will discuss how policy focus needs to change to increase attention to rural areas and give suggestions on concrete policy measures that can be used. In the chapter, the authors draw empirically on results from two research projects in Sweden about the conditions for public transport in rural areas and ongoing tests with new ICT solutions.

The aim of this chapter is to analyse how the governing capacity of current policy instruments might be affected in futures of smart mobility. In order to explore this issue, the authors make use of the so-called NATO (nodality, authority, treasure, organisation) framework for analysing two contrasting scenarios. The analyses show that the overall governing capacity of many of the policy instruments is strengthened or maintained in both of the scenarios. However, the governing capacity of some policy instruments is reduced, and some seem to need calibration, not least because authorities’ access to and control over data are under question. Future governing capacity hinges on access to data, although all resources are, in one way or another, affected.

New forms of ‘smart’ mobility have emerged with the advance of information technology. From a public sector perspective, these ambitions have been framed both in terms of innovation and sustainability. The development work of these technologies is in part being subsidised by public actors investing in and funding different types of pilots or experiments in order to ‘test’ these technologies in what is called a real-life environment. This is part of a larger trend of experimental governance in which smart mobility is an important and a possibly growing part. This chapter offers a conceptual analysis of experimental governance by analysing three underlying assumptions in literature and practice (1) the need for extraordinary solutions, (2) the importance of learning by doing and (3) the necessity of collaboration. These three assumptions are analysed in relation to smart mobility experiments in Sweden, and discussed in relation to public values. The concluding discussion elevates a number of normative implications of using experimental governance as a policy instrument for the development of smart mobility.

New economies based on emerging technologies for shared mobility and autonomous vehicles will shape future urban transport systems, but their potential impacts are uncertain. Internationally, government agencies face difficult challenges to effectively plan and regulate the deployment of these technologies for the common good, whilst simultaneously encouraging innovation. Being both a facilitator and an umpire is not an easy task. This chapter draws on a series of interviews with public and private-sector actors in urban transport in Australia. Unsurprisingly, all private-sector respondents had significant concerns for the sustainability of their business in the emerging mobility markets, but it was generally acknowledged that without government support and partnership, a lack of structure and clarity could lead to natural monopolies with negative consequences for competition and the public good. Strong and clear government regulation is seen to be necessary to allow the sector to reach its maximum potential and have positive ramifications for both the public and the private good – outcome not always seen as compatible. Public-sector interviewees generally recognised that much of the necessary innovation was being shaped by the market, and that there had been a considerable loss of skills over decades from the state because of neo-liberal policies. So, some doubted the ability of the state to shape developments using currently available planning and public policy methods and feared that it would be difficult to regulate emergent markets to prevent monopolies emerging. On the other hand, some argued that many firms are looking to government for frameworks in which businesses can operate successfully by setting conditions in which risks could be managed. This chapter discusses these issues, seeking to guide research agendas and to foster further debate. The evidence gained from these in-depth interviews helps focus attention on which forms of regulation might be required by industry. It also raises questions about the capacity of government agencies to effectively manage these complex transitions.

Modelling has been a mainstay of conventional planning support tools (PSTs) since the 1960s and is instrumental in transport and land use planning decision-making. Numerous studies have been conducted to model the potential impacts of emerging vehicle automation and sharing technologies. A systematic review of recent modelling studies of autonomous and shared vehicles in the research literature examines the extent of their contribution to ‘smart’ mobility knowledge. The findings suggest a limited knowledge base from which to support future planning. PSTs that can offer more pluralistic, discursive, and transparent methods in order to understand and proactively shape a transition to a planned urban future are also needed.

The transition to a future of ‘Smart Mobility’ – a mobility system characterised by real time organisation via the internet incorporating technologies such as connected and autonomous vehicles – has the potential to transform many aspects of everyday life. Many countries have evolved a system of ‘multi-level governance’ (MLG) to manage the formulation and implementation of public policies at different spatial scales. Whilst MLG has several potential advantages, such as providing multiple sites for policy innovation and de-risking the implementation of new policies by piloting them in particular places, the existence of many different governing tiers with different priorities and mandates requires skilful management and coordination. The management of any substantive, disruptive transition such as that to Smart Mobility is challenging for the policy system per se; for countries with MLG systems, the task is made more complex still by the need to achieve sufficient policy alignment between different tiers and entities of governance to implement new policy instruments in practice. The specific instruments of transport pricing and roadspace reallocation provide clear examples of these challenges and pointers to how implementation questions might be resolved in an MLG framework.

The point of departure of this book is that smart mobility will only be developed in a desired direction and fulfil societal objectives if it is steered in that direction. The market, left to itself, will most certainly not deliver on these objectives. This message has been conveyed extensively in recent literature, but this book aims to take this discussion one step further by focussing on what governance of smart mobility looks like today and in the future. In this introductory chapter, the authors provide a framework of different understandings of policy instruments, how they are selected, developed and used. After the array of policy instruments within the transport sector has been extensively discussed, the authors turn to discussing a broader understanding of policy instruments found within political science and political sociology. In doing so, this book contributes to the critical scholarship on policy instruments, while exploring the why, the how and the what of policy instruments in relation to smart mobility. The chapter closes with a brief introduction to the structure of the book as well as a description of the content of each chapter.

This chapter draws on two case studies on safety perceptions among older adults living in different cities in Sweden: Stockholm and Malmö. Both qualitative and quantitative methods were used in the study. Results show that older adults express signs of behavioral responses as a result of fear of crime and/or poor safety perceptions regardless of study areas and city contexts, such as distance decay strategy, and time avoidance. Findings also call for a more comprehensive discussion about the role that context (in this case, social and geographical) plays for everyday mobility and perceived safety in later life.

Smart mobility includes automation, shared mobility services and other new forms of mobility made possible by digital technologies. This book argues that smart mobility will only be developed in a desired direction and fulfil global sustainability goals if it is steered in that direction. There is a vast body of literature on public policy and policy instruments, and there are many different conceptualisations and categorisations. Applying an open and broad approach, whereby a variety of policy instruments that are used to govern smart mobility are introduced and discussed, this book is ideal for both professionals and researchers. The book is organised into three parts: the first part explores why there is a need for policy instruments in relation to smart mobility, the second part examines how policy instruments are chosen and developed, and the third part explores what policy instruments are doing and what smart mobility is doing to them. Of the policy instruments used today, many focus on producing knowledge for governments and thereby making smart mobility governable. Because of the difficulties with implementing policy instruments that make the transport sector more sustainable, the book concludes by discussing in which ways citizen deliberation can breathe new life into the debate.

Mobilities studies discuss the future in numerous ways, but many times only implicitly. The aim of this chapter is to further explicitly link mobilities studies and future studies, which is achieved by introducing the Delphi method and two cases applying the method and discussing potential use, advantages and disadvantages. The Delphi method was developed in the 1950s and is characterized by asking experts through controlled iteration processes. In conclusion, we suggest that, owing to changed mobility trends, it is probably more important than ever for mobility studies to increasingly learn from methods of future studies both from experts and overall citizens. The Delphi method represents one possibility.