Cincinnati Budget Would Ramp Up Fleet Spending

The City of Cincinnati's mayor and city manager have proposed a 2016 fiscal-year budget that includes an additional $91 million for road repair, maintenance, and new fleet vehicles.

by Staff

May 14, 2015

Cincinnati Budget Would Ramp Up Fleet Spending — *Photo via* Ohiofiredept/Flickr.

1 min to read

The City of Cincinnati's mayor and city manager have proposed a 2016 fiscal-year budget that includes an additional $91 million for road repair, maintenance, and new fleet vehicles, reports the Cincinnati Business Courier.

The $1-billion budget would increase the city's capital budget to $464 million from $373 million. The fleet portion of the upgrade would address funding shortfalls on the city's vehicle fleet since 2001. Since that time, city funding has fallen short for maintenance of police cars, fire trucks, ambulances, and snow plows. The funded ratio has dropped from about 70 percent in 2003 to around 30 percent in fiscal-year 2015.

The spending increase to modernize the city's fleet is expected to result in as much as $3 million in savings per year in reduced maintenance and fuel costs.

Topics:Cincinnati Maintenance Costs Aging Fleet Operations

More Operations

A youtube graphic for the government fleet dispatch.

Operations•July 1, 2026

Recognizing Progress, Leadership in Fleets | The June Dispatch

Catch up on the past month, whether you're interested in GFX news or Government Fleets' go-to articles for your operation.

Promotional graphic for a Utilimarc guide titled Beyond Utilization Rates: How Data-Driven Fleets Are Rethinking Vehicle Replacement, featuring a report cover with fleet vehicles, key benefits, and a call-to-action to download the guide.

Beyond Utilization Rates: Smarter Fleet Replacement Decisions

Vehicle replacement decisions affect every aspect of fleet performance, from operating costs to asset availability. This guide explores how fleet leaders use integrated data, benchmarking, and lifecycle analytics to determine the right fleet size and optimize replacement timing with greater confidence.