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Agenzia Mobilità Ambiente e Territorio Srl
https://www.amat-mi.it/

AMAT Agenzia Mobilità Ambiente e Territorio (i.e. Milan’s Agency for Mobility and Environment) is an in-house company totally owned by the City of Milan, committed to providing strategic planning with integrated approaches and technical studies to the City of Milan. The scope of work is mobility, decarbonisation, energy efficiency, circular economy, urban planning and regeneration. AMAT activities are annually approved by the City Council. Currently, AMAT has a staff of about 70 employees and about 70 external consultants.

The most relevant activities related to air quality are the design, implementation and monitoring activities of the road traffic environmental regulations (such as in ‘Area C’, Milan Congestion Charge Area, and in ‘Area B’, the Low Emission Area covering all the urbanised area), the periodic inspections of all domestic heating systems, the organisation of air quality monitoring campaigns through proprietary measuring stations. Collected data are used for upgrading the Milan emission inventory (bottom-up approach) as to support the urban policies aimed to improve local air quality. Modelling support is provided by means of urban and microscale dispersion models.

AMAT was an Action Leader within the framework of the Urban Agenda for the EU – Partnership for Air Quality. AMAT supported the City of Milan in the drafting of the Air Quality and Climate Plan, currently under approval by the City Council, which provides a comprehensive strategy aimed at reducing the air pollution levels in the city in compliance with EU applicable standards and WHO recommendations and to protect vulnerable citizens from exposure to air pollution.

As a specific contribution to the proposal, AMAT will coordinate the activities related to the uncertainty analysis of emission factors and emission estimations for some activities, focussing mainly on road traffic particulate resuspension and domestic heating (including wood combustion), in order to evaluate the potential impact on the regional and urban modelling results.