| Abstract |
Low emissions zones (LEZs) have emerged as a key strategy in addressing urban air pollution and reducing greenhouse gas emissions. To effectively manage and enforce LEZs, optimization of mobility, intelligent transport systems, multi-modal mobility, and mobility as a service must be considered as objectives to be reached. In the same direction, public authorities have included in their strategic plans to make their city "more sustainable and smarter. In this sense, a comprehensive toot that integrates advanced technologies and data-driven approaches is essential. To overcome this limitation, Libelium proposes in this work a LEZ management software for smart decission making. It integrates various components such as real-time monitoring, data analytics, air quality modeling, and KPIs computation. Our solutions utilize a combination of sensors, cameras, and communication networks to collect real-time data on vehicle emissions, traffic patterns, and compliance levels within the designated low emissions zones. This paper shows promising results in this context validated in five European cities - Paris, Helsinki, Amsterdam, Stavanger, and Tallinn - obtaining a CO2eq emissions reduction up to 86 % in the best scenarios. In addition, the dispersion models can achieve a high resolution at a street level. For this reason, the tool for low emissions zone management presents a comprehensive and integrated approach to monitor, enforce, and evaluate LEZs effectively. The tool enables authorities to effectively combat urban air pollution and reduce emissions by leveraging real-time monitoring, data analytics, and sustainability impact assessment. Implementing such a tool has the potential to create cleaner and healthier urban environments, enhance transportation sustainability, and improve the overall quality of life for citizens. © 2023 University of Split, FESB. |
