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Council member Lipien proposes data-driven allocation of $2.3M for worst streets

Elyria City Council · March 3, 2026
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

Council member Andrew Lipien suggested using a recent street-condition scan to allocate about $2.3 million for paving to wards in proportion to their share of failing streets, and asked the utilities committee to consider a one-page proposal.

At the March 2 Elyria City Council meeting, Council member Andrew Lipien proposed prioritizing the city's roughly $2,300,000 paving allocation to the wards with the worst streets, using results from a recent pavement-condition scan.

Lipien presented the scan's ward-by-ward breakdown and urged the council to "fix the worst streets first," noting Ward 4 accounts for 23% of the city's worst streets, Ward 2 20%, Ward 1 18%, Ward 7 14%, Wards 5 and 6 11% each, and Ward 3 3%. He argued that dividing the funds equally among wards "is not the same as smart money" and proposed allocating funds proportionally by each ward's share of failing streets and then recalculating after the next scan.

Lipien said the approach stretches the available funds and recommended the utilities committee review a one-page proposal. He indicated he had informally discussed the idea with at least one resident in Ward 3 who supported the concept.

A council member noted concerns that a strictly proportional allocation could leave some very bad streets in wards with smaller shares of failing pavement unaddressed; Lipien and others framed the proposal as a trial for a single year with a subsequent reassessment.

The council did not take an immediate binding vote on the approach; Lipien asked that the utilities committee consider his proposal. The proposal identifies policy options for targeting limited paving dollars and would require committee review and formal adoption before changing funding allocations.