An integrated approach to social, technological, economic, environmental and ethical dimensions in AI-driven smart and sustainable mobility

Burcu Aracıoğlu, Haydar Yalçın and Tugrul U. Daim

Chapter 9 in Handbook of Technological Forecasting and Roadmapping, 2026, pp 207-226 from Edward Elgar Publishing

Abstract: Ensuring sustainable mobility in cities undergoing structural change due to urbanization and digitalization has become a pressing issue. The integration of emerging technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), and blockchain into urban transport creates opportunities for improved traffic management, autonomous vehicles, and sustainable mobility in smart cities. However, this integration also presents challenges, including data security, privacy concerns, and the need for regulatory frameworks. This study provides a comprehensive analysis of AI integration into smart and sustainable mobility systems, with a particular focus on energy efficiency and environmental sustainability. Using a dataset from the Web of Science, the research employed bibliometrics, cluster analysis, and social network analysis to map the academic landscape. The literature highlights AI's potential to increase transport efficiency, support sustainability goals, and enhance user experience. Findings emphasize opportunities such as AI-powered smart buses, which can optimize traffic flow and improve safety. At the same time, the study underscores barriers including cybersecurity risks, privacy protection, and governance requirements. Regional analyses further reveal the varied impacts of AI-enabled electric vehicles and autonomous systems, particularly in regions such as MENA, where mobility challenges differ from those in Europe or North America. Cluster analysis identifies key research themes, notably electric vehicles, autonomous driving, and technology-enabled sustainability strategies. Overall, the study demonstrates how AI integration can transform mobility systems, while also highlighting the importance of addressing technical, environmental, and regulatory challenges for building resilient and sustainable smart cities.

Keywords: Mobility; AI; Sustainability; LDA; Bibliometrics; STEEP Analysis (search for similar items in EconPapers)
Date: 2026
ISBN: 9781035330843
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