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Connected and autonomous mobility may be an imminent game-changing reality, still in its embryonic form, that is set to disrupt a century-long ‘driver-centric’ status quo and recalibrate transport in unprecedented and possibly entirely unexpected ways. Autonomous vehicles (AVs) may have among others, a major impact on sustainability which in an era where concerns about the urgency and magnitude of climate change threats are voiced more and louder than ever before, needs to be a positive one for helping societies to enjoy liveable futures. This might not be an easy task to accomplish, however. This chapter, using a thematically organised narrative review approach, tries to give a well-rounded answer on whether driverless technology can yield sustainability benefits (or not) by looking at all three spheres of sustainability referring to environmental, economic and social implications. Agendas like motor traffic, air pollution, energy consumption, employment dynamics, inclusion, cybersecurity and privacy are all explored, and a conclusion is derived highlighting the need to package automation with connectivity, alternative fuelling and multimodality and building it around public transport (and to a lesser extent sharing service) provision. The road to make driverless transport genuinely sustainable is ‘bumpy’ and ‘uphill’ and requires the development of an appetite not for technology excellence per se, but rather for travel behaviour change. Achieving this needs serious strategic and coordinated multi-stakeholder efforts in terms of pro-active policy reform, user (and transport provider) education and training initiatives, infrastructure investment, business plan development, and living lab experimentation.

The massive investment in, and development of, automated and connected transport (ACT) technology development has triggered much debate about this breakthrough technology’s potential positive and negative impacts. Multiple studies have explored the potential direct implications for users in terms of road safety, ‘productive’ travel time, mobility of the elderly and physically less mobile persons, as well as indirect impacts such as reduced emissions and freed road space. Through a critical review of the literature on ACT deployment types and discussions with an expert working group on the wider impacts of ACT implementation, this chapter examines four distinct deployment types of ACT technology and their opportunities and threats in transitioning toward inclusive transport systems. Of the four types, we posit that ACT-based public transport has the greatest potential to contribute to a more inclusive mobility future. Examining the case of Singapore using policy documents, academic literature and interviews with representatives of public and private sectors and academia, the chapter draws policy recommendations for governance toward more inclusive ACT innovation and deployment.

Serious games (SGs) are virtual systems that allow the reconstruction of the laws governing the behavior of complex adaptive systems such as urban transportation and social interaction. Unlike stated preference-based studies, improved visualization, feedback, and scores mediate players’ learning through experience. SG’s potential to understand users’ preferences regarding shared automated vehicles (SAVs) is developed. The investigation focused on three innovative, entirely automated commuting options: shared rides, shared cars, and automated transit. The research involved 10 participants actively involved in a competitive mode selection exercise, which emulated 50 workdays and was conducted in 10 separate sessions. The players aimed to maximize their overall score influenced by their mode choice, punctuality, and the other players’ choices. SG-obtained data was used to estimate a game-based discrete choice model. The sustainability policy implications of game-based methods on the future adoption of SAVs and impacts on other modes are further discussed.

The purpose of the chapter was to examine the impact of customer care chatbots on customer satisfaction levels in the mobile telephony industry in Zimbabwe, with a special focus on the company Econet Wireless. This chapter shows the conceptual framework used. An online questionnaire was administered to a sample of 100 Econet Wireless subscribers who were selected using probability stratified random sampling from Zimbabwe’s 10 provinces. The research data were collected and analysed for correlation, and a multiple regression analysis was carried out to identify the relationship between customer satisfaction and the three customer service improvements brought in by the introduction of customer service chatbots. The study discovered that there is a positive relationship between customer satisfaction levels and each of the three customer service improvements brought in by customer service chatbots, namely customer service convenience, speed of response, and omnichannel strategies. This study thereby proves that the introduction of customer service chatbots in the mobile telephony industry in Zimbabwe can lead to an improvement in customer satisfaction levels. However, addressing service quality only as a determinant of customer satisfaction in isolation is not sufficient to fully improve customer satisfaction levels. Therefore, organisations that seek to improve their customer satisfaction should consider strategies that address all determinants of customer satisfaction, namely price, product quality, service quality, situational factors, and personal factors. This study contributes to the body of knowledge, particularly regarding the use of artificial intelligence (AI) for customer service in developing economies.

Despite Bangladesh’s continued attempts, gender disparity in the workplace has long been a concern, and progress has been slow. Studies conducted earlier indicate that working women in Bangladesh experience an unwelcoming work environment, leading to unequal pay and limited opportunities for their career growth. Academic literature focuses little on the connection between gender and the physical work environment. This chapter focuses on the connection between the masculinist culture of organizations, how work is carried out, and workplaces are set up, illuminating the crucial role played by the built environment in maintaining gender equality. Infrastructure, spatial design, safety measures, amenities, and the biased culture often influence the obstacles to women’s long-term success in the workplace. This chapter investigates and comprehends the constraints female employees encounter in Bangladesh during their work by scrutinizing the influence of the physical space and the biased socio-psychological environment. As women’s long-term professional progress depends on how these elements are interrelated, improving the environment is the first step toward a fairer and more empowered work environment. A qualitative approach has been used in this study. Seventy-eight Bangladeshi graduate, working women have participated in this research. The results show that, regardless of efforts, the environment in Bangladeshi workplaces is inhospitable, directly affecting women’s careers. Building a welcoming workspace accommodating all genders is crucial for creating gender parity and promoting long-term professional growth. Therefore, this research suggests that the government should capitalize on successful efforts and investigate alternative techniques to improve this issue.

The purpose of this study is to look at the factors that drive people to participate in the sharing economy (SE). Based on the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB), the study proposes a mathematical model. The study’s ultimate objective is to help businesses attract more involved customers and promote collaborative consumption as a sustainable alternative to typical consumption patterns. The study offers a conceptual framework established via a thorough literature review to examine Indian customers’ use behavior toward SE platforms. A one-sample two-tailed t-test is used to assess the framework’s efficacy. The research fills gap in the literature on the SE by investigating the factors that determine subjective norms (SN), attitudes (A), and perceived behavioral control (PBC). A framework is provided that takes behavioral intention (BI) contemplated as a mediating variable. The research improves TAM and TPB by including new factors such as technical characteristics. This research adds to the body of knowledge on the digital SE by underlining the relevance of usage behavior in comprehending Indian customers, where A, SN, and PBC are important aspects. The research presents a paradigm for better understanding customers’ attitudes and behaviors toward various SE platforms, which might help academics, practitioners, and policy makers situate their initiatives within the larger field of sharing. The study’s categorizations of Indian consumers’ A, SN, PBC, and BI toward the SE might potentially advise on future research and government policies.

This chapter aims to provide a comprehensive understanding of the urban outcomes of smart city projects, focusing on their primary objectives. The first objective is to facilitate the management and flow of information, data, and resources to enhance resource efficiency, sustainability, and the quality of life for citizens and stakeholders. This chapter offers insights into the urban objectives of smart city projects within the local ecosystem, with a specific emphasis on digital and key urban outcomes. It provides an overview of the digital outcomes, including the advancement of digital systems for safety and urban monitoring, the provision of customized digital services, and the promotion of citizen engagement through digital platforms. This chapter also evaluates the environmental outcomes of smart city projects, such as improved quality of life, increased urban efficiency, and contributions to a sustainable environment. To provide a well-rounded understanding, interviews with policymakers and city managers, as well as case studies from cities like London, Medellin, Helsinki, Singapore, Girona, and San Diego, are incorporated. Furthermore, this chapter incorporates data and findings from top-tier international journals to provide a clear understanding of the impact of smart cities on the local ecosystem.

This chapter provides an overview of the potential use of Intelligent Transport Systems (ITS) and associated artificial intelligence (AI) techniques in the land transport sector in an attempt to achieve related United Nations Sustainable Development Goals (SDGs) targets. ITS applications that have now been extensively tested worldwide and have become part of the everyday transport toolkit available to practitioners have been discussed. AI techniques applied successfully in specific ITS applications such as automatic traffic control systems, real-time image processing, automatic incident detection, safety management, road condition assessment, asset management and traffic enforcement systems have been identified. These methods have helped to provide traffic engineers and transport planners with novel ways to improve safety, mobility, accessibility and efficiency in the sector and thus move closer to achieving the various SDG targets pertaining to transportation.