Journal
AUTOMATION IN CONSTRUCTION
Volume 138, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.autcon.2022.104251
Keywords
Urban green infrastructure; Urban planning; LiDAR; BIM; GIS; Civil engineering
Funding
- European Social Fund in Youth Employment Initiative [TE-0025-19]
- Ministry of Education and Employment of Junta de Extremadura
- Junta de Extremadura (Spain) [GR18113]
- European Regional Development Fund
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A methodology was developed to generate 3D urban maps that estimate the potential exposure levels of urban green infrastructure. The maps are created by incorporating 3D geometric data, location and information of green infrastructure, and meteorological data into a single 3D BIM model.
Digitisation and building information modelling (BIM) technology are being adopted in the construction in-dustry, but their application in the sustainable development of urban planning and civil engineering has been limited. A methodology was developed to generate 3D urban maps, which represent a potential environmental exposure related to urban green infrastructure. The methodology incorporated 3D geometric data obtained by Laser Imaging Detection and Ranging (LiDAR), location and information of green infrastructure, and meteoro-logical data (direction and velocity of wind) into a single 3D BIM model to estimate the potential levels of exposure to urban green infrastructure by applying a modified aerobiological index to create risk maps for ornamental trees (AIROT). The BIM model facilitated a 3D visualisation of the exposure in urban environments by exporting information to GIS software, which could then be visualised on Google Earth. The main advance of the developed methodology is its applicability to any urban environment for determining and reducing aero-biological health risks in civil engineering.
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