Sonoma County Grand Jury • 2015-2016

Funding for County Roads*

Published: June 04, 2016 8 pages
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Findings and Recommendations 5 findings

F1
For the past three years, the Board of Supervisors has demonstrated a commitment to improving the condition of County roads by increasing levels of spending from the General Fund.
Related Recommendations (1)
R1
The Board of Supervisors direct the County Administrator's Office to present the budget in a form which makes it easy to understand what funding is truly discretionary and what reserves currently exist.
F2
It is difficult for interested citizens to determine what monies in the County budget are available for spending. The Grand Jury was unable to ascertain what, if any, discretionary funds could be allocated for roads.
Related Recommendations (1)
R2
The Board of Supervisors set budget priorities such that annual General Fund allocations to the Roads Division meet or exceed $20 million, the minimum amount necessary to stop the decline in the condition of County roads.
F3
In order to prevent further road deterioration and increasing deferred maintenance costs, a minimum annual amount of $20 million from the General Fund must be dedicated to road paving.
Related Recommendations (1)
R3
The Board of Supervisors should explore all reasonable avenues to increase funding for paving County roads, including a Special Tax measure.
F4
It is unrealistic to expect that without additional sources of revenue, the County can meet the $47.7 million per annum threshold necessary to bring all roads up to a Good to Very Good level within 20 years.
No recommendations for this finding
F5
Roads that are essential to commerce and industry and which are travelled by the largest number of users should receive funding priority.
No recommendations for this finding

No Responses Found 1

Government entities assigned to respond to this report. No response documents have been linked in our database.

Sonoma County Board of Supervisors Elected County Office

* This report's PDF did not contain easily extractable text and required Optical Character Recognition (OCR) for analysis. There may be minor errors in the extracted findings and recommendations due to OCR limitations with scanned documents.