Implementing an LEZ can be a costly and complex process. You aim to ensure that the LEZ positively impacts air quality and citizens' quality of life. Libelium's Sustainability Impact Assessment (SIA) solution allows cities to predict the impact of the LEZ on overall air quality (not just in the application zone) using pollution dispersion modelling. You can see the effect on air quality throughout the city and make informed decisions before investing resources in implementing the LEZ. Thanks to the ability to predict the results of the LEZ, you can be sure that the implementation will be effective, ensuring that the LEZ does not produce adverse effects in other areas. In addition, the SIA solution also helps address citizens' concerns and resistance. By predicting the impact of the LEZ, you can confidently answer citizens' questions and clearly understand how the new system will work.
The actual situation of the city (obtained from sensors) is displayed on the platform; indicators such as reduced CO2 or reduced number of private trips are shown as part of the results.Se muestra la situación real de la ciudad (obtenida de los sensores) en la plataforma; como parte de los resultados se muestran indicadores como por ejemplo CO2 reducido o número de viajes privados reducidos.
Thanks to the traffic and pollutant dispersion models, we can detect areas where traffic significantly impacts the city's air quality.Gracias a los modelos de tráfico y dispersión de los contaminantes podemos detectar aquellas áreas en las que el tráfico tiene un mayor impacto en la calidad del aire global de la ciudad.
Accurate traffic models can be used to study the impact of the measures, including traffic redistribution.
If public transport data is included, one result of our solution is an indicator of the use of public transport by citizens, with the possibility of modelling changes in public transport and studying which scenarios encourage public transportation vs private vehicles.Si se incluyen datos de transporte público, un resultado de nuestra solución es un indicador del uso del transporte público por parte de los ciudadanos, con la posibilidad de modelar cambios en el mismo y estudiar qué escenarios fomentan más el uso del transporte público vs vehículo privado.
We have successfully developed the LEZs in multiple European cities and participated in European projects, such as AI4Cities in Paris, Helsinki, Amsterdam, Stavanger and Tallinn, or the IMAGINEXT project in Cartagena (Spain) and Lindau (Germany).
Satisfaction of European regulations and Next Generation funds of public investment in actions towards sustainability and resilience. More than 10 Spanish cities benefiting from Next Generation funds have successfully designed their LEZs with Libelium's Sustainable Impact Assessment (SIA) solution for LEZs.
Thanks to Libelium's solution, our success story in Cartagena has implemented a LEZ without any negative impact or significant reduction in mobility services for its citizens.
“In the design of a LEZ, as in the case of Cartagena, the implementation of technological devices allows the efficient operation of each and every one of the mobility policies. The planning and management of transport use technological advances to make profitable processes in the analysis and decision-making, always relying on technology that later becomes obsolete or parameters disconnected from each other are measured. It is necessary to build future projects focused on citizens' welfare and improving cities; for this, a complete ecosystem must be created, going step by step, and each investment builds a long-term project.”
The only model in the market that merges traffic models with pollution propagation models. Awarded by EIT Urban Mobility in the ImagiNext Grant in cooperation with CARNET (Volkswagen Group and Universitat Politécnica de Catalunya), Fraunhofer and the leading mobility modelling company (PTV Group), who have joined forces with Libelium for pollution and sustainability modelling.
High capacity of mobility data generation for cities without historical data from pre-trained models with more than 20,000 hours of traffic data (and growing) coming from European cities of different sizes and behaviours.
Compatible with other urban initiatives through open standards for digital transformation such as ETSI NGSI-LD, GAIA-X, and FIWARE and validated by the European Union as a Connecting Europe Facilities service.
Fully available SaaS service with High ENS certification and support for National Interoperability Scheme best practices, Smart Data Models and semantic annotation.
Proven reduction of the design time of LEZs from 12 to 3 months, with the ability to extrapolate and compare mobility models between different cities, including European capitals such as Paris, Helsinki or Madrid.
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From here, we recommend that you set up a meeting with our Smart Cities experts at the link below. What do we need to know from you?
