The aim of this study is to provide insights concerning the effects of the ubiquitous digital environment on the way people think and the subsequent need to equip young individuals with the necessary skills. Several studies focus on defining the so-called digital skills, also providing indications that higher cognitive skills are required. However, they do not examine how young individuals could perform better to adapt to the continuously evolving digital environment. To address this gap, the study introduces and analyses the construct of digital intelligence, representing the new way of thinking and behaviour in the digital environment. For the purposes of the study, a set of tests was given to students at Greek high schools, targeting 15–16 years old students and employing original tests to assess digital intelligence. According to the findings, digital intelligence is composed of: (1) logical reasoning, algorithms, and evaluation, (2) abstraction, decomposition, and patterns and generalisation, (3) digital emotional intelligence and communication, (4) digital safety and security, and (5) digital identity, use, literacy, and rights. Assessing digital intelligence, as proposed in this study, could be used to assist vocational guidance, employee selection and evaluation, and development of revised school curricula.

Hydrogen-powered cargo bikes are gaining increasing attention in the framework of urban logistics, thanks to their enhanced agility to travel and park in congested areas, low carbon footprint, and extended traveling range. Nevertheless, deploying a fleet of hydrogen-powered cargo bikes can be challenging, necessitating the parallel assessment of the operation of the fleet, the H₂ refueling strategy, and eventually the design of the respective refueling infrastructure. The objective of this article is to demonstrate a systematic methodological framework for deriving strategic insights into the deployment of a fleet of cargo bikes equipped with a hydrogen fuel cell unit. Employing advanced longitudinal-based vehicle mathematical modeling, coupled with statistical techniques, the energy consumption of the vehicle was analyzed under a broad spectrum of operating conditions. Moreover, the refueling strategy was analyzed for different ranges of vehicle fleets, and enhanced options for designing the respective hydrogen stations were charted. Ultimately, this work provides strategic insights that could be used by cargo bike fleet operators and H₂ refueling infrastructure designers.