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This Government Contract opportunity from Oregon was posted on May 15, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Data Analysis & Modeling (Travel Demand, VMT, GHG)

Closed
State & Local

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This contract involves conducting travel demand forecasting, vehicle miles traveled (VMT) modeling, and greenhouse gas (GHG) emissions analysis to assist Oregon in meeting its climate objectives. The work will utilize regional models and scenario tools to provide data-driven insights essential for planning and policy development related to transportation and environmental sustainability. The scope includes detailed analysis aimed at supporting compliance with state climate goals, reflecting Oregon’s commitment to reducing emissions and promoting sustainable transportation practices. The contract is a subcontract opportunity under the category of data analysis and modeling, specifically aligned with NAICS code 541620. The place of performance is Salem, Oregon, with a deadline for response submissions set for early June 2026. This project is managed by the Oregon Procurement office and is integral to advancing state priorities in climate action through rigorous and innovative modeling approaches.

General Info

Conduct travel demand, VMT, and GHG emissions modeling for Oregon’s climate and transportation goals.

Agency

Oregon → Procurement

NAICS

541620 - Environmental Consulting ServicesView NAICS

Place of Performance

Salem, OR, 97301, US

Set-Aside

NONE

Documents

(0)

No documents available

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyOregon → Procurement
ContactsNo contacts available
OfficeN/A
Organization / Agency
Oregon → Procurement
Office AddressN/A
ContactsNo contact information available

Full Description

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Conduct travel demand forecasting, VMT modeling, and GHG emissions analysis to support compliance with Oregon’s climate goals using regional models and scenario tools.