TY - GEN
T1 - Towards environmental design decision-making for infrastructure planning using parametric BIM
AU - Hofmeyer, J.
AU - Forth, K.
AU - Esser, S.
AU - Borrmann, A.
N1 - Publisher Copyright:
© 2023 The Author(s).
PY - 2023
Y1 - 2023
N2 - The AEC industry is responsible for 32% of the global greenhouse gas (GHG) emissions. The greatest potential to reduce the environmental impacts of infrastructure projects has been identified to be in the early design stages, where trailblazing decisions of the road corridor and the construction type must be made. We propose a methodology for an automated calculation of embodied and traffic emissions based on Building Information Models (BIM) of infrastructure assets. Our approach supports decision-makers in identifying optimal road corridors not only by means of design aspects but also by taking environmental impacts into consideration. Hence, we introduce predefined, parametric LCA profiles including cut-and-fill considerations, various road profiles, and structural assets like tunnels and bridges. The bill of quantities is automatically derived from the BIM model for the subsequent LCA calculation. Finally, the resulting GHG emissions of different routing variants can be automatically calculated and compared for holistic design decision-making.
AB - The AEC industry is responsible for 32% of the global greenhouse gas (GHG) emissions. The greatest potential to reduce the environmental impacts of infrastructure projects has been identified to be in the early design stages, where trailblazing decisions of the road corridor and the construction type must be made. We propose a methodology for an automated calculation of embodied and traffic emissions based on Building Information Models (BIM) of infrastructure assets. Our approach supports decision-makers in identifying optimal road corridors not only by means of design aspects but also by taking environmental impacts into consideration. Hence, we introduce predefined, parametric LCA profiles including cut-and-fill considerations, various road profiles, and structural assets like tunnels and bridges. The bill of quantities is automatically derived from the BIM model for the subsequent LCA calculation. Finally, the resulting GHG emissions of different routing variants can be automatically calculated and compared for holistic design decision-making.
UR - http://www.scopus.com/inward/record.url?scp=85186719854&partnerID=8YFLogxK
U2 - 10.1201/9781003323020-283
DO - 10.1201/9781003323020-283
M3 - Conference contribution
AN - SCOPUS:85186719854
SN - 9781003323020
T3 - Life-Cycle of Structures and Infrastructure Systems - Proceedings of the 8th International Symposium on Life-Cycle Civil Engineering, IALCCE 2023
SP - 2321
EP - 2328
BT - Life-Cycle of Structures and Infrastructure Systems - Proceedings of the 8th International Symposium on Life-Cycle Civil Engineering, IALCCE 2023
A2 - Biondini, Fabio
A2 - Frangopol, Dan M.
PB - CRC Press/Balkema
T2 - 8th International Symposium on Life-Cycle Civil Engineering, IALCCE 2023
Y2 - 2 July 2023 through 6 July 2023
ER -