On-Call Engineering, Architecture and Construction Services for Airport Development

The City of Lawrence is seeking one or more highly qualified consultants or consultant teams to provide On-Call Architectural, Engineering, and Construction services for the Lawrence Regional Airport. The objective of the contract is to provide comprehensive design, engineering, and construction services for the Lawrence Regional Airport on behalf of the City of Lawrence. Tasks include but are not limited to runway extensions, taxiway rehabilitation, extension, and development, ARFF station design and construction, ARFF vehicle acquisition, Aircraft parking design and construction, aircraft hangar design and construction, landside parking and roadway improvement design and construction and ALP updates. The City receives entitlements from the FAA in the amount of $150,000 annually and receives additional support from KDOT Aviation through KAIP Grants and various State and Federal earmarks. Projects may utilize this contract at the discretion of the City based on future analysis and available funding.

This Master Agreement establishes the relationship between the City and the selected vendor, however does not guarantee a specific amount of work; Each assignment will receive a defined scope, schedule, funding source, and authorization through the city's Task Order framework.

IMPORTANT – QUALIFICATIONS-BASED SELECTION: This solicitation is being conducted using a qualifications-based selection process. Fee proposals, hourly rates, pricing, or other cost information shall not be included in the initial qualifications submission. Cost information will be requested only from the selected consultant following completion of the qualifications-based selection process and negotiation of the detailed scope of services.

INTERVIEWS – The interview schedule is tentative and may be adjusted based on the time required to evaluate responses. Interviews will not be conducted if the highest-scoring candidate, based on the combined blind and non-blind evaluation results, achieves a score at least 10% higher than that of every other evaluated response.