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Miami University & Ohio University·Ohio

Long-Term Concession and Lease of the Miami University Parking System Public-Private Partnership (P3)

Closes 9/4/2026$1M – $10MRequest for Information
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Description

The Miami University is seeking a supplier/provider for the long-term concession and lease of the Miami University Parking System through a Public-Private Partnership (P3). The selected vendor will be responsible for providing services in accordance with the detailed specifications and requirements. The proposal will be evaluated based on price, terms, delivery/availability, quality and durability, ease of use, and suitability of equipment for the University's intended use. • The vendor must submit an electronic copy of their response through the electronic sourcing portal. • The vendor must provide a list of exceptions, if any, describing any exceptions or deviations from the standards specified. • The vendor must ensure that all required documentation arrives on time and at the designated location. • The proposal must be signed by an authorized agent of the seller. • The vendor must provide prices, discounts, or other financial considerations that address the requirements of this proposal.

Attached files

The solicitation documents live at the source — open the bid source above to download them.

Contact

Brent Leishman

[email protected]

(513) 529-6133

Key dates

Opened
8/3/2026
Questions due
8/21/2026
Closes
9/4/2026

Last updated

Details

Type
Request for Information
Industry
Education
NAICS
812930
Solicitation №
0820262453

Budget estimate

$1,000,000 – $10,000,000

The budget for this opportunity is difficult to estimate, as the document does not provide a specific dollar amount. However, considering the scope of the project, which involves the long-term concession and lease of the Miami University Parking System, the budget could be substantial. A possible estimate could be in the range of $1 million to $10 million per year, depending on the terms of the contract and the revenue generated by the parking system. Factors that may influence the likely payment range include the number of parking spaces, the demand for parking, and the revenue-sharing model.

AI estimate from the solicitation

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