Proposing a sustainable urban 3D model to minimize the potential risk associated with green infrastructure by applying engineering tools.

The goal of this study is to estimate the potential risk of exposure to urban green infrastructure by calculating and improving of AIROT index, adding meteorological factors as wind direction and updating the index to be more accurate for smaller urban green areas. To achieve this objective, BIM methodology has been applied by creating a 3D BIM model from the reality capture of a street with LiDAR. The BIM model contains the parametric data needed to apply AIROT index and it allows to map results in a graphic environmental sustainability study. The importance of location of green infrastructure is one of main conclusions obtained in order to minimize aerobiological risks in future new buildings or even in maintenance tasks of urban green infrastructure. A valuable result obtained from the developed methodology are walk simulations in the 3D model with the aim to identify high risk of potential exposure of urban green infrastructure with allergenic interest for allergic patients in order to supply health itineraries of pedestrians in a proposal of Smart City.