Artificial intelligence as a facilitator of sustainability in autonomous and electric vehicles: an analysis of consumer behavior and corporate strategy

• Alberto-Tomás Delso-Vicente ^[1] ; María García de Blanes ^[1]
  1. [1] Universidad Rey Juan Carlos

     Universidad Rey Juan Carlos

     Madrid, España

     
• Localización: Strategy, people, and technology: challenges and opportunities in the future of business / coord. por Margarita Núñez Canal, María de las Mercedes de Obesso Arias, 2025, ISBN 978-84-1085-482-6, págs. 251-269
• Idioma: inglés
• Texto completo no disponible (Saber más ...)
• Resumen

  • The concept of the 15-Minute Cities has gained prominence as an urban planning strategy that promotes accessibility, sustainability, and reduced dependency on private vehicles. However, the evolving landscape of urban mobility requires an integration of emerging technologies, such as autonomous vehicles, smart infrastructure, and Mobility as a Service (MaaS). This study introduces the Smart & Autonomous 15-Minute Cities (SA-15MC) model, which combines electrification, artificial intelligence, and digital mobility platforms to optimize urban transportation and environmental sustainability. Using a mixed-method approach, this research explores the impact of integrating autonomous and electric mobility within the framework of 15-Minute Cities. The study employs urban simulations, case studies, and citizen surveys to assess the feasibility and efficiency of this model. Key findings reveal that the adoption of autonomous electric fleets significantly reduces travel times, optimizes traffic distribution, and enhances accessibility in underserved urban areas. Additionally, the study highlights how digital transportation systems contribute to a lower carbon footprint, promoting environmental and economic sustainability. Despite its potential, the implementation of SA-15MC faces technological and regulatory challenges, including infrastructure adaptation and the need for clear policies regarding autonomous vehicle deployment. The results suggest that a strategic integration of intelligent transport systems, MaaS platforms, and urban automation can facilitate the transition towards sustainable and efficient urban mobility. This research contributes to the ongoing academic discourse on smart cities and digital mobility, providing a theoretical foundation for future studies and policy recommendations.