Yes, computational design can be leveraged to create more sustainable transportation infrastructure. Computational design allows for the simulation and optimization of complex systems, which can help to identify and address potential sustainability issues in transportation infrastructure.
For example, computational design can be used to model the environmental impact of new transportation infrastructure, such as roads or railways, before they are built. This can help to identify potential negative impacts on air or water quality, and inform the design of mitigation measures to reduce these impacts.
Computational design can also be used to optimize the use of existing transportation infrastructure, such as traffic flow and routing. This can help to reduce the amount of time that vehicles spend idling in traffic, which can improve air quality and reduce greenhouse gas emissions.
Additionally, computational design can be used to design more sustainable modes of transportation, such as electric or hybrid vehicles, or active transportation infrastructure like bike lanes and pedestrian walkways.
Overall, computational design offers a powerful tool for creating more sustainable transportation infrastructure, by allowing for the simulation, visualization, and optimization of complex systems.
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