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The Cloud of Things (IoT) that refers to the integration of the Cloud Computing (CC) and the Internet of Things (IoT), has dramatically changed the way treatments are done in the ubiquitous computing world. This integration has become imperative because the important amount of data generated by IoT devices needs the CC as a storage and processing infrastructure. Unfortunately, security issues in CoT remain more critical since users and IoT devices continue to share computing as well as networking resources remotely. Moreover, preserving data privacy in such an environment is also a critical concern. Therefore, the CoT is continuously growing up security and privacy issues. This paper focused on security and privacy considerations by analyzing some potential challenges and risks that need to be resolved. To achieve that, the CoT architecture and existing applications have been investigated. Furthermore, a number of security as well as privacy concerns and issues as well as open challenges, are discussed in this work.

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.

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 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.

This study aims to unravel the tensions and convergences between market-oriented neoliberal education and state-serving transnational higher education (TNHE) practices through an infrastructural lens within the broad context of post-pandemic geopolitics.

The study utilizes a case study approach, with a diverse array of data collection methods, including observations, interviews and review of material/online documents issued by the TNHE-related institutions and the Chinese Ministry of Education.

The study identifies three findings: (1) Re-articulation of transnational infrastructures, valuing ‘glocal' education and casting immobility as advantageous yet quasi-mobile; (2) Infrastructural tensions arising from stakeholder contests over program control and (3) Infrastructural dialectics, illustrating how promised (im)mobility becomes a tightly regulated academic journey due to institutional constraints and conflicts.

The findings elucidate the dynamic interplay between international education and TNHE amidst neoliberal pedagogical trends and pandemic-driven geopolitical shifts in China. While the interplay showcased a notable effect on Chinese students' (im)mobility during the pandemic, more empirical research is needed to understand international student (im)mobility issues in the post-pandemic era.

This study explores the infrastructural intersections between international and transnational education during the unprecedented Covid-19. Findings may provide a reference for policymakers and practitioners to strategize the “glocal” approach to international/transnational education in China after the pandemic.

Higher education has become a more active sector in most of countries recently. Facing a more globalized society and a more competitive scenario, institutions all over the world are transforming and improving diverse strategies of internationalization to provide innovative experiences to students and professors. Therefore, the main objective of this chapter is to describe the strategies of internationalization at Universidad de Monterrey (UDEM) Mexico such as mobility of students and professor, institutional culture, curriculum, strategic alliances but the most important, international collaboration at classrooms. UDEM is a private higher institution with more international experiences in student mobility in Mexico, and the first with more collaborative online international learning (COIL) projects in Latin America. Using a qualitative research method, this chapter demonstrates that UDEM’s strategies of internationalization both, abroad and at home, transformed actions, functions, and processes at UDEM impacting the quality and experience of education. These strategies have impacted students positively. Besides, these strategies of internationalization have the potential to be replicated in other higher education institutions (HEIs).

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.

Public participation is sometimes suggested as a way to establish legitimacy for contentious policies needed to realise a transformation in the transport sector to meet sustainability and climate goals. In this chapter, we first aim to summarise and draw conclusions from each part of the book, not least in relation to the transformative potential of public participation in the sector. The chapter also suggests recommendations for further research in the field. Important topics discussed are the diversity of public participation in transport; limits to participation; the specifics of participation in the field of transport; and the issue of consensus and dissensus. As regards transformation of the sector, public participation is considered a prerequisite, but the book also includes several cases where public participation does not seem to possess a transformational potential. We suggest representative, deliberative forms of participation as a possible solution to overcome dilemmas of representativeness, (lack of) knowledge, and the participation burden. We conclude that public participation is not easy, it has to be prepared and designed carefully to avoid unexpected consequences, and there is currently a need for more experiments and pilot projects on public participation in the field of transport.

Presently, existing electric car sharing platforms are based on a centralized architecture which are faced with inadequate trust and pricing issues as these platforms requires an intermediary to maintain users’ data and handle transactions between participants. Therefore, this article aims to develop a decentralized peer-to-peer electric car sharing prototype framework that offers trustable and cost transparency.

This study employs a systematic review and data were collected from the literature and existing technical report documents after which content analysis is carried out to identify current problems and state-of-the-art electric car sharing. A use case scenario was then presented to preliminarily validate and show how the developed prototype framework addresses the trust-lessness in electric car sharing via distributed ledger technologies (DLTs).

Findings from this study present a use case scenario that depicts how businesses can design and implement a distributed peer-to-peer electric car sharing platforms based on IOTA technology, smart contracts and IOTA eWallet. Main findings from this study unlock the tremendous potential of DLT to foster sustainable road transportation. By employing a token-based approach this study enables electric car sharing that promotes sustainable road transportation.

Practically the developed decentralized prototype framework provides improved cost transparency and fairness guarantees as it is not based on a centralized price management system. The DLT based decentralized prototype framework aids to orchestrate the incentivize monetization and rewarding mechanisms among participants that share their electric cars enabling them to collaborate towards lessening CO₂ emissions.

The findings advocate that electric vehicle sharing has become an essential component of sustainable road transportation by increasing electric car utilization and decreasing the number of vehicles on the road.

The key novelty of the article is introducing a decentralized prototype framework to be employed to develop an electric car sharing solution without a central control or governance, which improves cost transparency. As compared to prior centralized platforms, the prototype framework employs IOTA technology smart contracts and IOTA eWallet to improve mobility related services.

Relying on Social Identity Theory (SIT), Relative Deprivation Theory (RDT) and System Justification Theory (SJT), this study aims at examining identity enhancement strategies of blue-collar workers who might be described as members of low-status groups having negative social identity. In the scope of this study, individual and collective strategies for identity enhancement of blue-collar workers have been proposed with the support of above mentioned theories. First of all, factors determining identity enhancement strategies have been described. Then, individual mobility conditions were explained and informal workplace learning was suggested as an individual mobility strategy for blue-collar workers to enhance social identity. In addition, it was argued that high self-monitoring blue collars are more likely than low self-monitoring blue collars to use individual mobility strategy. It was also emphasized that through union membership, high identifier blue collars will adopt a collective identity enhancement strategy. Finally, acceptance of low-status strategy was proposed for blue-collar workers in case they perceive their group’s low status as stable and legitimate.