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ROP Consulting (dba) Rick Williams Consulting 1/6/2026
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ROP Consulting (dba) Rick Williams Consulting 1/6/2026
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Last modified
1/6/2026 11:49:10 AM
Creation date
1/6/2026 11:48:41 AM
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Contracts
Contractor's Name
ROP Consulting (dba) Rick Williams Consulting
Approval Date
1/6/2026
End Date
12/31/2027
Department
Public Works
Department Project Manager
Corey Hert
Subject / Project Title
Downtown Parking Occupancy Study & Financial Analysis
Tracking Number
0005065
Total Compensation
$48,970.00
Contract Type
Agreement
Contract Subtype
Professional Services (PSA)
Retention Period
6 Years Then Destroy
Imported from EPIC
No
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Exhibit A (Scope of Work) <br /> <br />TASKS: SCOPE OF WORK <br /> <br />1. Kickoff Meeting <br />a. Finalize methodology and schedule with Client. <br />2. Study Area Inventory <br />a. Field inventory of all on-street stalls by block face in the study area boundaries. The inventory <br />effort assumes 2 RWC surveyors and one night in Everett. <br />b. Enter field inventory data into the RWC database. <br />o Develop data collection route maps and templates. <br />3. Data Collection <br />a. Baseline Data - January <br />Hourly occupancy data collection of all parking (by block face) in the study area to establish a <br />baseline of parking occupancies from weekday (Thursday)and weekend (Saturday) over 10 <br />consecutive hours. <br />o The baseline effort assumes 4 RWC surveyors – a 3-day stay and 4 hours of travel time. <br />b. Event Data <br />Assumes data collection over 2 nights to collect sample event data. Hockey events are on <br />consecutive nights (Friday/Saturday) <br /> <br />c. Data Entry <br />Enter occupancy data into the RWC database. <br />o Create a data summary draft report that includes tables, charts, and heat maps to <br />display and describe comparative usage findings between datasets. <br />o Review data findings with the Client, up to 2 meetings. <br /> <br />4. Revenue/Expense Forecasting Model and Report <br />a. Use January occupancy data to establish a low-demand (January) use baseline. <br />b. Work with the City to evaluate annual traffic data to create an occupancy factor for typical <br />demand from the low-demand baseline. <br />c. Use occupancy data (from 4a. and 4b.) to develop a “revenue hours” model for forecasting <br />potential gross revenue generation, extrapolated over 20 years. <br />o The model can assume multiple hourly rate options. <br />d. Develop an expense model that accounts for initial and ongoing costs to establish and operate <br />an on-street pay-to-park system in the Downtown, deriving an estimate of annual net revenue <br />potential. <br />o The model includes forecasts for the cost of equipment/installation, operations, back <br />office, software, and ongoing system maintenance, as well as other carrying costs that <br />the City might incur as expenses in its parking fund. <br />e. Develop draft Revenue/Expense Findings Technical Memorandum. <br />f. Meetings with City staff to review findings (up to 2 meetings).
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