Land Use Models for Regional Planning and Growth Management
Biography
Dr. Wang is an Associate Professor of Urban Studies and Planning and affiliated professor of Civil Engineering at Portland State University.
Education
PhD Urban Design and Planning
University of Washington, Seattle
MS Landscape Ecology
Chinese Academy of Forestry, Beijing, China
BSc Geography
Peking University, Beijing, China
Research interests
Land Use Transportation Interaction Models
Urban Modeling and Simulation
Data Science
Research
Dr. Wang’s research takes a data-driven approach to address challenging issues in planning, in particular those intersecting land use and transportation. Relying on data analysis, simulation and visualization techniques, his research aims to inform policy makers and the public of the effects of infrastructure and policy choices on community outcomes such as accessibility, environment, and equity.
Selected Publications
(2026).
Measuring the State of Open Science in Transportation Using Large Language Models.
Transportation Research Part C: Emerging Technologies (forthcoming).
(2018).
De-Transformation Bias in Non-linear Trip Generation Models.
Journal of Urban Planning and Development.
(2017).
Housing location choices of the poor: does access to jobs matter?.
Housing Studies.
Teaching
- Introduction to Data Science
- USP414/514: Transportation Seminar
- USP570: Transportation and Land Use
- USP587: Travel Demand Modeling
- USP657: Discrete Choice Modeling
- USP634: Data Analysis I
- USP654: Data Analysis II
Talks
Statistical Models vs Machine Learning: A Reflection with Two Case Studies
Previous applications in the urban planning field heavily lean toward the artificial intelligence approach for developing decision support system (for example, @tanic_urban_1986 …
Contact
Email: lmwang+web@gmail.com
Address: 506 SW Mill St, Portland, OR 97207, United States
Office hours: Mondays 16:00 to 17:00
Posts
Creating Word Documents with R Markdown
References and tools for collaborating on Microsoft Word documents with R Markdown.
Creating Tables for Microsoft Word Output with R Markdown
A reproducible workflow for rendering sophisticated regression tables from R Markdown to Microsoft Word.