Citizen Portal
Sign In

Get Full Government Meeting Transcripts, Videos, & Alerts Forever!

Get email alerts on the Infrastructure Data topic

No spam. Unsubscribe anytime.

Engineering calls for GIS, digital-twin and AI upgrades to improve infrastructure planning

5063713 · June 24, 2025
AI-Generated Content: All content on this page was generated by AI to highlight key points from the meeting. For complete details and context, we recommend watching the full video. so we can fix them.

Summary

City engineers urged council to invest in a data-driven foundation — improved GIS, digital-twin models and modern analytical software — so the city can prioritize capital projects, predict failures and reduce consultant costs. Director Kevin and assistant engineer Zephyrino outlined phased software, staffing and data‑quality steps.

City engineering leaders asked the council to fund upgrades to the city’s geospatial data and modeling tools so staff can make data-driven decisions about water, wastewater, stormwater, traffic and streets.

Engineering Director Kevin told the workshop that the city currently has fragmented records and limited confidence in archived infrastructure data, and that the most effective near-term solution is systematic data collection and standardization. "Good data in, good data out — bad data in, bad data out," he said.

Assistant City Engineer Zephyrino Mendoza described a staged plan: procure advanced modeling software that integrates with AutoCAD Civil 3D; build base models for water-distribution, wastewater and stormwater networks; develop standardized data-management protocols and create live "digital twin" models that can be updated as assets are repaired or replaced. He proposed starting with a one‑year push to acquire software and begin model creation, then growing in years three and five to add staff and routinely use predictive modeling to prioritize rehabilitation projects.

Kevin and Zephyrino emphasized that software alone is not enough: consistent data input, cross-department conventions and a modest expansion of in-house engineering and GIS technical staff are required. Zephyrino proposed adding at least two engineers and two GIS/CAD technicians over the next three years to reduce dependency on external consultants and to accelerate in‑house design and modeling capacity.

Everyone agreed modernized GIS and analytic capability would reduce long-term expense by allowing internal predictive planning and by giving the city stronger cost estimates when applying for grants.

Ending

Engineering will return with a phased technology and staffing plan, proposed software options and estimated costs for council’s consideration during the budget process.