Development of a New VisionEval Land Use Model and Applications to Evaluate Climate Strategies in Oregon

Wang, Liming; Gregor, Brian

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Development of a New VisionEval Land Use Model and Applications to Evaluate Climate Strategies in Oregon

2026-05-01
By Wang, Liming ; Gregor, Brian

File Language:

English

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Creators:

Wang, Liming ; Gregor, Brian
Corporate Creators:

Portland State University ; Oregon System Analytics, LLC (OSA)
Corporate Contributors:

Oregon. Department of Transportation. Research Section ; United States. Department of Transportation. Federal Highway Administration
Subject/TRT Terms:

Climate Databases Data Collection Evaluation Land Use Models Land Use Planning Machine Learning Performance-based Transportation Planning Performance Based Specifications Policy Public Transit Statistical Analysis Strategic Materials Transportation Planning
Publication/ Report Number:

FHWA-OR-RD-26-12
Resource Type:

Tech Report
Geographical Coverage:

United States ; Oregon
Edition:

Final Report
Corporate Publisher:

Oregon. Department of Transportation. Research Section
Abstract:

This project upgraded the land use module for the VisionEval framework to enhance the evaluation of integrated transportation and land use policies and their impacts. The project developed a new strategic land use model utilizing NHTS and Smart Location Database data from 2011 and 2019, applying advanced statistical and machine learning methods to predict land use changes. Key innovations included land use transition model and allocation models for dwelling units and employment, along with D3 (Urban Design) and D4 (Level of Transit Service) classification methods. Project deliverables comprised a new VELandUse R package, a comprehensive data package with enriched variables, and pilot applications demonstrating the model's effectiveness. These enhancements significantly improved ODOT's capabilities for detailed land use modeling and regional strategy evaluation, while providing user-friendly tools for scenario creation and policy evaluation.
Format:

PDF
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha-512:e30513ee39c2700dda042ca8cff14d25097cfa6bb6b660c5e110abe0e2ebec0feb18200622d44b03e34f36abc8cbc17bfa36e8759ec4034aaa621bfa23fc702e
Download URL:

https://rosap.ntl.bts.gov/view/dot/91147/dot_91147_DS1.pdf
File Type:

[PDF - 12.24 MB ]

File Language:

English

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