This research examines the impact of transitioning to an autonomous operation on the airside of Schiphol airport, with a specific focus on emissions that affect both the environment and the staff working within airport premises. This study will explore current emissions from vehicles on Schiphol's airside, assessing their environmental impact and identifying harmful emissions. It will evaluate potential solutions, notably the role of electric vehicles, comparing this to the status quo before mapping the transition to an autonomous airside and its environmental consequences. A significant focus will be on the implications for staff working in these conditions. Additionally, it will review relevant laws and regulations to propose improvements, aiming to enhance Schiphol's environmental footprint. Conducted by Bright Sky for Schiphol Airport, this research aims to address overlooked harmful substances at the airport, seeking prompt solutions. Utilized by Schiphol, the findings will shed light on the necessity for innovation towards electric and autonomous vehicles, underlining the urgency for environmental improvements and technological advancements to tackle pollution issues effectively.
MULTIFILE
The rapidly evolving aviation environment, driven by the Fourth Industrial Revolution, encompasses smart operations, communication technology, and automation. Airports are increasingly developing new autonomous innovation strategies to meet sustainability goals and address future challenges, such as shifting labor markets, working conditions, and digitalization (ACI World, 2019). This paper explores high-level governance strategies, a benchmarking study, that facilitates this transition. It aims to identify the key characteristics and features of the benchmarking study applicable to the development of autonomous airside operations. It also examines areas for improvement in operations, focusing on Key Performance Areas (KPAs) and strategic objectives related to airside automation. The findings highlight several essential performance areas and formulate it to a tailored benchmarking study that airports or aviation stakeholders can adopt to develop automation in airside operations. These criteria and features are summarized into a benchmarking framework that reflects strategy objectives. This paper contributes a valuable benchmarking methodology, supporting the growing global aviation demand for improvements toward more sustainable and smart autonomous airside operations. This outcome motivates aviation stakeholders to innovate to meet environmental and social sustainability goals.
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The adoption of electric autonomous vehicles (EAVs) is set to revolutionize airport ground operations. Airports are increasingly developing new autonomous innovation strategies to meet sustainability goals and address future challenges, such as shifting labor markets, evolving working conditions, and the growing impact of digitalization [1]. The traditional business model, in which manufacturers sell vehicles to operators (ground handlers), may no longer be relevant. The increasing complexity and advancement of EAVs will drive up costs, making the ownership model less appealing and shifting the focus from product-oriented to service-oriented models. This paper aims to provide a conceptual framework for potential business models for the implementation of EAVs in airport airside operations.
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