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This study aims to identify the determinants that influence citizen’s behavioural intention and continuous usage intention of smart mobility services in Indian smart cities with the help of an extended technology acceptance model.

This study uses a quantitative methodology to analyse the data collected from 509 residents of smart cities in India. The study used the partial least squares structural equation modelling approach to test the proposed hypotheses.

The study highlights the importance of perceived usefulness and ease of use in influencing citizens’ attitudes and intentions towards smart mobility services. Positive attitudes significantly impact behavioural intentions, which, in turn, link to continuous usage intentions.

This study contributes to the existing body of knowledge on smart cities and technology adoption, specifically in the area of smart mobility. The study’s findings will help service providers and policymakers to develop more robust strategies for the future.

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.

Goa, a tiny state located along the western coast of India, is rich in cultural heritage and biodiversity. It boasts of a good network of roads and also some rustic experiences. However, the entry of new technology in terms of transport is difficult due to the strong links of people with nature and the desire to retain the natural setting for future generations. Thus, the devices or machines must also be resilient and sustainable in the long run. Good governance and infrastructural support can work wonders in the long run if this is supported.

Conversely, smart mobilities must be powered up through hydro, wind, solar, hydrogen, coal and lithium batteries. While the former four are ideal as they are renewable, the latter, which is coal-generated energy and lithium batteries, can deter nature as they have a large carbon footprint. While hydrogen if created through green systems will be more feasible and can be more sustainable to run electric vehicles (EVs). To top it up, the start-up India mission also has played a significant role in helping smart mobilities businesses to thrive in India. Therefore, the need to adopt smart mobilities dependent on green energy is important for this sector to succeed. This chapter also enlightens the reader through a case study about how BLive, an Indian EV start-up introduced smart mobilities in Goa, their mode of implementation, operations and challenges faced.

Based on the 5th wave/tomorrow age theory, we are living in the world that is in necessity to change. Rapid urbanization causes global challenges such as economic problems and recessions, environmental challenges, climate change, social instability, health diseases, biological attached, and crisis caused by technological dominations. These challenges threaten the world, humanity, and human beings. Therefore, it is vital to tackle and struggle with them in order to maintain the world and improve quality of livability and quality of life to achieve sustainability. Generally, modern Blue-Green urban areas and smart cities with high quality of livability and life are proposed to deal with urbanization challenges to maintain the world and improve quality of human life. Based on Prof. Doost's 5th wave theory, related theories, concepts and models like Doost Risk Mitigation Method (DRMM), and also his experience on sustainability as best practice such as cooperating with Danish Sustainable Platforms Company, working as an academic leader at IoE/EQ EU Erasmus Plus project in Germany during 2017–2020, cooperating with former mayor of Copenhagen, consulting the German MV State Minister of Energy, Digitalization, and Infrastructure to cooperate with Iran in 2016, more than 15 years holding lecture and research internationally about risk and risk management on mobility in different universities like (TU Berlin) Technical University of Berlin (EUREF Campus, Sustainable Mobility Management and Sustainability Building) and also achieving a honorary doctorate in sustainable development management, a practical model concerned on risk management in mobility to provide comprehensive global Blue-Green clean sustainable urban mobility risk mitigation strategic plan is given. Therefore, in this chapter, impact of risk management on mobility to provide sustainable global urban mobility plan in order to create modern Blue-Green sustainable urban area and future smart cities through the 5th wave theory are explored. Fundamentally, the main goal of the research is to have an applied study about mobility risk mitigation and utilize it as a key to create comprehensive global urban mobility risk mitigation plan toward Blue-Green sustainable clean mobility technologies to create modern sustainable smart cities through the tomorrow age theory in order to create livable urban area with high quality of livability and life. In addition, the risks in mobility through the DRMM are measured to analyze the risk and to do risk mitigation and mobility project improvement to move to sustainable mobility and high sustainability in future smart cities.

Nowadays, sustainable, clean, inclusive, innovative, and smart mobility in addition to urban transformation is required to achieve sustainable development as a path to preserve the world for future concerns and improve quality of life at the present, even to be kept up with growing citizens' needs. Mobility as an infrastructure component plays fundamental roles in urban transformation, and economic development. In this chapter, and based on the 5^th wave theory, related theories, models, and concepts, modern, clean, and inclusive mobility founded on high future of 4th technologies (which is called 5th technologies), digitalization, smartness, sustainability, and CSR 2.0 strategies is declared as proper clean mobility technologies to create sustainable and smart cities. Such smart cities are able to deal with challenges made by rapid, unplanned urbanization and globalization to achieve sustainable development. In this research, roles of inclusive and smart mobility systems as path to create modern and sustainable urban areas to make the world more sustainable and livable for living are declared. Literature reviews, case studies, interviews, and questionaries are applied as main methods to recognize inclusive and modern mobility and its roles in urban transformation to achieve sustainable development. This chapter is based on know-how and do-how of the author Prof. Hamid Doost on sustainability such as cooperating with Danish Sustainable Platforms Company, working with Erasmus Plus as an academic leader in Germany since 2017, cooperating with Copenhagen's former mayor and researching on sustainability. In this chapter, impact of sustainable mobility, sustainable buildings, and smart cities on CSR 2.0 and social responsibility, how these parameters improve sustainable development and sustainability in social responsibility, corporate social responsibility (CSR), and how social responsibility could influence humanities are explored.

There are different narratives surrounding smart mobility, which can sometimes even appear as opposing (Lyons, 2018). Its fiercest proponents are promising versions of a revolutionised future, where users have on-demand access to multiple mobility options and are freed from car ownership, while transport systems become carbon neutral and congestion is a problem of a bygone age (Sherman, 2019). At the same time, the plausibility of such visions of the future has been questioned, with critics warning against the potentially negative impacts of the widespread adoption of privately provided services and stressing the need for state intervention to avoid exacerbating ‘classic’ transport issues such as congestion and unequal access to services, as well as creating new challenges such as uncontrolled market monopolies (Docherty, Marsden, & Anable, 2018). Drawing from these narratives, this chapter explores how officials from English transport authorities see state intervention evolve in the future, and what accountability arrangements are necessary to achieve the level of steering they envisage. Based on interviews with local authority officials, this chapter shows that the officials’ views generally align more closely with the narrative of providers than with that of critics. Although different local authorities envisage varying levels of control and steering of smart mobility, they all expect new services to improve the local transport provision. This chapter also discusses the barriers local authorities face in shaping local accountability arrangements.

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.

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 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.

The significance of smart mobility practices in shaping cities from a smart perspective has grown in recent years, influencing policies and the choices made by inhabitants. This transformation has led to the emergence of novel services and strategies, creating a new, vibrant and highly personalised urban environment that caters to the needs and preferences of both local residents and visitors. The purpose of this study is to evaluate the influence of smart mobility practices on tourism flows in cities, considering the moderating effect of airport activities on this relationship.

Using a generalised method of moments estimation and focusing on 20 Italian cities over an eight-year period, the authors highlight the current relationship between smart mobility practices and tourism flows. Moreover, the authors demonstrate that the yearly advancement of airports positively moderates this relationship.

The findings indicate a significant relationship between smart mobility practices in modern cities and tourism inflows because they influence the development of tourism services and emerging trends such as smart tourism and smart destinations. Furthermore, airport activities as a proxy for city openness play a crucial role in this link. The study shows that airports have an incremental impact on tourism and on the relationship between tourism and sustainable practices.

The limitations of this quantitative approach include the focus on a single country, the challenge of measuring the development of smart mobility practices due to a lack of standardised variables and the need for future research to expand the sample to different countries in relation to tourism inflows.

This study has practical implications for policymakers and governance in their task of effectively coordinating internal smart mobility practices and managing incoming tourism flows.

This study has social implications, highlighting the need for policymakers and governance to address the societal impacts of smart mobility practices and tourism inflows, ensuring inclusive and sustainable outcomes for local communities.

This study contributes to the existing literature as one of the first attempts to examine the interplay between smart mobility practices in smart cities and tourism flows. Furthermore, it emphasises the role of airports in this relationship, highlighting how the interaction between these variables benefits both stakeholders.