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With the plethora of smart mobility innovations, their applications, and their pace of change, it is easy to get distracted by what these innovations can (potentially) do, rather than what we want or need them to do, if we are to meet our societal goals. The focus of this chapter is therefore on the extent to which smart mobility can help create policy change towards the goal of low carbon mobility. The concept of policy is broken down into its component parts, to outline the relationship between policy goals and policy instruments, and identifies the key tools underpinning policy instruments. In turn, the chapter situates policy instruments within an understanding of policy change and triggers for policy change, arguing there are two key ways in which transformative change can occur; exogenously and endogenously. The chapter argues that the onset of smart mobility does not suggest an exogenous shock to the current policy system, in which smart mobility disrupts the authority and beliefs inherent within the current policy approach to mobility. Smart mobility therefore in and of itself is unlikely to lead to a radical policy shift towards low carbon. However, in understanding smart mobility innovations as policy instruments, it is possible to envisage smart mobility incrementally changing policy towards low carbon mobility, if opportunities for reflexivity and learning are embedded within local policy contexts.

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 explains how electric driving has been transforming car mobility in The Netherlands since 1990, highlighting the role of a specific Dutch policy mix as direct factor, and the conditions through which this policy mix came about as indirect factors. The analysis is based on triangulation of findings from three methods: (1) discourse analysis of national newspapers and online blogs to understand the changing meanings of car mobility as well as changing stakeholder competences; (2) interview analysis with Dutch stakeholders to understand policy effects as well as their changing competences; and (3) analysis of relevant documents that provide the numbers of vehicles sold, implemented infrastructures and policy instruments. The study describes market changes in terms of ‘reconfiguring’ (entangled) practices of Dutch motorists, vehicle manufacturers and policy-makers, constituted by the (changing) relations between meanings, materialities, competences and policy incentives. The analysis finds a gradual reconfiguration of car mobility in three stages: The hegemony of Internal Combustion Engine (ICE) mobility (1990–2008), Surge in Plug-in Hybrid Electric Vehicle (HEV) mobility (2009–2015), and Surge in full-electric mobility (2016–2020). The analysis shows that the specific Dutch policy incentives were critical to orchestrating the co-evolution of ICE-based and electric mobility towards low-carbon alternatives, that is, towards more electrification. The policy mix was adapted in three successive steps, in which inconsistencies towards electric mobility (e-mobility) were solved, entailing three distinct reconfiguration pathways in each period. The relatively strong policy incentives for e-mobility in The Netherlands can be explained by the absence of an established car industry as well as particular air quality challenges in cities (triggering local support for the provision of charging infrastructure). The conclusion includes policy recommendations for countries that seek to promote e-mobility, although further research should clarify how contextual differences require specific elements in the policy mix.

In this chapter, the authors will summarise the entire book and look ahead. The aim of this book has been to take the calls for governance of smart mobility one step further by analysing and discussing current and future policy instruments to govern smart mobility. The task has been carried out by discussing the why, how and what of policy instruments. So far, the policy instruments governing smart mobility to a large extent are focussed on understanding this new field of mobility, establishing relations and roles between companies and authorities, and making the field governable. What is lacking in this equation are policy instruments that establish the population as citizens with rights, voices and roles. In order to align the smart mobility transition and the transition towards a sustainable society, the authors consider the development of deliberative citizen participation an important initiative and the authors suggest it as an important field for future research.

The concept of green urban mobility has emerged as one of the best approaches for promoting environmental-friendly transportation in local communities. Green urban mobility aims to reshape public transportation system and enhance mobility, with emphasis on deploying digital technologies to promote sustainable public transportation. Therefore, this study aims to analyze existing public transportation policies by exploring how local communities can facilitate green urban mobility by developing a sociotechnical urban-based mobility model highlighting key factors that impact regions transitioning toward sustainable transportation.

This study investigates “the role of data for green urban mobility policies toward sustainable public transportation in local communities” in the form of a systematic literature review and insights from Norway. Secondary data from the literature and qualitative analysis of the national transport plan document was descriptively analyzed to provide inference.

Findings from this study provides specific measures and recommendations as actions for achieving a national green mobility practice. More important, findings from this study offers evidence from the Norwegian context to support decision-makers and stakeholders on how sustainable public transportation can be achieved in local communities. In addition, findings present data-driven initiatives being put in place to promote green urban mobility to decrease the footprint from public transportation in local municipalities.

This study provides green mobility policies as mechanisms to be used to achieve a sustainable public transportation in local communities. Practically, this study advocates for the use of data to support green urban mobility for transport providers, businesses and municipalities administration by analyzing and forecasting mobility demand and supply in terms of route, cost, time, network connection and mode choice.

This study provides factors that would promote public and nonmotorized transportation and also aid toward achieving a national green urban mobility strategy. Socially, findings from this study provides evidence on specific green urban mobility measures to be adopted by stakeholders in local communities.

This study presents a sociotechnical urban-based mobility model that is positioned between the intersection of “human behavior” and “infrastructural design” grounded on the factors that influence green urban mobility policies for local communities transiting to a sustainable public transportation. Also, this study explores key factors that may influence green urban mobility policies for local communities toward achieving a more sustainable public transportation leading to a more inclusive, equitable and accessible urban environment.

Shrinking population can have significant negative impacts on the social and economic fabric of a city. This paper aims to understand different urban transportation policies to respond to population decline in shrinking cities by examining two case studies of urban interventions in mid-size cities in Japan.

The paper analyzes the implementation of sustainable mobility strategies in the urban transport sector in the Japanese cities of Toyama and Kanazawa, which risk having their populations significantly reduced in the next decades. The analysis is based on case study research that uses the data and information collected through desk and field research. Interviews with local actors, as well as published policy and academic documents on the case studies provided critical data and information to analyze the case studies.

Both cities have tried to make urban mobility more sustainable via different strategies. Toyama used more structural changes, called the “sticks and dumplings” approach, having land use incentives and the Light Rail Transit reinforced by bus routes as the backbone of its strategy. Kanazawa relied on a city center revitalization plan to densify residential use in the city center.

More structural interventions are necessary to change the declining of shrinking cities, mitigating some of the negative effects. City administrations need to have clear policy priorities and should not allocate their limited resources to competing policy agendas.

The study is unique as it is one of the first efforts to analyze urban transportation interventions in shrinking cities in Japan.

Since the 1990s, several policy instruments have been produced in Belo Horizonte, Brazil, to improve accessibility to urban mobility systems, especially for people with disabilities. However, the city still faces important shortcomings in understanding the demands of the population with disabilities and in implementing an appropriate urban structure. The present work identifies mobility practices and demands for accessibility of this population based on a descriptive analysis of the city’s origin/destination survey (2012) and results of a focus group with representatives of the population with disabilities and public authorities. The analysis demonstrates that the demands of persons with reduced mobility are characterised first by a high level of immobility, comparing to people without disabilities, which has important consequences on access to urban goods, especially jobs and health and educational services. Second, mobility has a relevant role in producing forms of discrimination and exclusion. Third, in addition to the problems faced by the general population, people with reduced mobility also face greater challenges in using transport systems. Ultimately, this analysis points out that the main needs for people with disabilities are related to the problems of articulation between public places and transportation systems, both in terms of infrastructure and in terms of attitude and behaviour of service providers and other citizens.

This chapter focusses on the use of immobility policies and practices in the Asia-Pacific nations of East and South East Asia, Australia and New Zealand to respond to COVID-19 across 2020–2021. Concepts from the field of mobilities studies are adopted for analysis. Transport system managers in the region have increasingly played roles either limiting movement, adjusting transport supply, creating proscribed ‘mobilities passageways’ for travellers that present COVID-risk, and encouraging or mandating passenger compliance with other pandemic measures. The series of immobility policies and practices used at the international, intra-national and local scales are analysed. Transport agency responses differed greatly including whether to retain levels of public transport supply or reduce them in line with falling patronage. A summary of known travel behaviour impacts is then discussed, using available data from government travel portals, and, for Shanghai, Brisbane and Hong Kong, a range of road volumes, public transport boardings, micro-mobility, bicycle and pedestrian counts. There are indications that a series of socio-technical transitions have occurred, such as increased work-from-home, new social practices around walking, increased demands for roads to provide place functions (as opposed to movement functions) and the role of cycling and micro-mobility as liberating technologies in a world of increased control and fear of contagion. Transport agencies have harnessed some of these changes in attitudes and societal needs, using radical institutional responses such as pop-up bike lane trials and other ‘tactical urbanism’ approaches, to adapt their cities to life during and after the pandemic.

The aim of this study is to propose a governance model and key performance indicators on how policymakers can contribute to a more accessible, inclusive and sustainable mobility within and across smart cities to examine sustainable urban mobility grounded on the rational management of public transportation infrastructure.

This study employed desk research methodology grounded on secondary data from existing documents and previous research to develop a sustainable mobility governance model that explores key factors that influence future urban policy development. The collected secondary data was descriptively analyzed to provide initiatives and elements needed to achieve sustainable mobility services in smart cities.

Findings from this study provide evidence on how cities can benefit from the application of data from different sources to provide value-added services to promote integrated and sustainable mobility. Additionally, findings from this study discuss the role of smart mobility for sustainable services and the application for data-driven initiatives toward sustainable smart cities to enhance mobility interconnectivity, accessibility and multimodality. Findings from this study identify technical and non-technical factors that impact the sustainable mobility transition.

Practically, this study advocates for the use of smart mobility and data-driven services in smart cities to improve commuters' behavior aimed at long-term behavior change toward sustainable mobility by creating awareness on the society and supporting policymakers for informed decisions. Implications from this study provide information that supports policymakers and municipalities to implement data-driven mobility services.

This study provides implications toward behavioral change of individuals to adopt a more sustainable mode of travels, increase citizens’ quality of life, improve economic viability of business involved in providing mobility-related services and support decision-making for municipalities and policymakers during urban planning and design by incorporating the sustainability dimension into their present and future developments.

This paper explores how urban transportation can greatly reduce greenhouse gas emissions and provides implications for cities to improve accessibility and sustainability of public transportation, while simultaneously promoting the adoption of more environmentally friendly means of mobility within and across cities. Besides, this study provides a detailed discussion focusing on the potential opportunities and challenges faced in urban environment in achieving sustainable mobility. The governance model developed in this study can also be utilized by technology startups and transportation companies to assess the factors that they need to put in place or improve for the provision of sustainable mobility services.