Development of a data monitoring platform for low emission zones

Abstract

The detrimental effects of pollution on human health and the environment have escalated in recent years, prompting urgent action. Concerns surrounding air quality and emissions have led to the establishment of low emission zones as a means to mitigate the impact of polluting vehicles in urban areas. However, effectively managing these zones and their restrictions becomes a daunting task when faced with a lack of resources. This master's thesis addresses the need for data-driven approaches to enable well-founded mobility-related decisions in the context of low emission zones. The thesis proposes the development of a data monitoring platform that serves as a robust information hub for policy-makers. The platform aims to provide valuable insights into the effectiveness of existing policies and identify areas requiring further intervention. This will be achieved by compiling the available information from various data sources and presenting it adequately in order to detect data patterns and track key performance indicators. Ultimately, our solution aspires to assist competent decision-making, thereby fostering a paradigm shift towards healthier and more sustainable urban environments. Through the integration of data-driven insights and evidence-based policies, we aim to pave the way for a future where cities prioritize the well-being of their inhabitants and minimize their ecological footprint.