Early-phase civil infrastructure design remains manual and slow despite digital advances downstream. STV, a New York-based firm, exemplifies this norm but is now adopting automation to transform preliminary design workflows. Traditionally, engineers rely on spreadsheets, process-modelling tools like BioWin, and manual parametric adjustments to explore project options. This labor-intensive process limits exploration to two or three alternatives due to time and cost constraints. Automation compresses uncertainty, enabling rapid scenario analysis and turning preliminary design into a decision-intelligence engine. This shift allows design teams to quickly answer "what if" questions amid volatile conditions such as climate change and regulatory shifts. For AECM professionals, embracing automation in early design phases can improve bid success, optimize long-term costs, and enhance sustainability outcomes. STV’s adoption signals a strategic industry trend toward scaling optioneering and improving project viability. In the coming months, expect more firms to integrate automated tools for scenario exploration and preliminary design optimization, driving faster, data-driven decision-making in civil infrastructure projects.
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