The CBE Inspire Fund Awardees for the 2024 cycle have been selected! Their project names and team members are outlined below. Title: Mycelium Grow Lab for Student-led Research Team: Gundula Proksch (Associate Professor, Architecture), Tyler Sprague (Associate Professor, Architecture) Title: Exhibition of the works of OUR: Office of (Un)certainty Research Team: Vikram Prakash (Professor, Architecture) Title: Emergence, Resilience, and Future(s) of Urban Informality in Seattle Team: Julie Johnson (Associate Professor, Landscape Architecture), Manish Chalana (Associate Professor, Urban Design and Planning)…
Department: Runstad Department of Real Estate
WCRER releases report and white paper – March 2024
The Washington Center for Real Estate Research (WCRER) has released a white paper entitled “Increasing Washington State’s Residential Development Capacity”, co-authored by WCRER Director Steven Bourassa (also the H. Jon and Judith M. Runstad Endowed Professor and Chair of the Runstad Department of Real Estate) and WCRER Associate Director Mason Virant. WCRER also recently released a report which focuses on the impacts of HB 1923 and HB 2343, legislation enacted in 2019 and 2020 which provide grants to help develop…
Homelessness Is a Housing Problem: How Structural Factors Explain U.S. Patterns
Colburn, Gregg, and Clayton Page Aldern. Homelessness Is a Housing Problem: How Structural Factors Explain U.S. Patterns. Oakland: University of California Press, 2022.
Gregg Colburn cited in the Council of Economic Advisors 2024 Economic Report of the President
Associate Professor Gregg Colburn in the Runstad Department of Real Estate was cited in the Council of Economic Advisors 2024 Economic Report of the President. Chapter 4 of the report, “Increasing the Supply of Affordable Housing: Economic Insights and Federal Policy Solutions” cites a book from Aldren and Colburn, 2022, entitled “Homelessness Is a Housing Problem: How Structural Factors Explain U.S. Patterns.” (Available here: https:// homelessnesshousingproblem.com/.) Read the report, and see the book from Aldren and Colburn for more information.
Association between property investments and crime on commercial and residential streets: Implications for maximizing public safety benefits
Walter, R. J., Acolin, A., & Tillyer, M. S. (2024). Association between property investments and crime on commercial and residential streets: Implications for maximizing public safety benefits. SSM – Population Health, 25, 101537–101537. https://doi.org/10.1016/j.ssmph.2023.101537.
Abstract
Physical property investments enhance public safety in communities while alleviating the need for criminal justice system responses. Policy makers and local government officials must allocate scare resources for community and economic development activities. Understanding where physical property investments have the greatest crime reducing benefits can inform decision making to maximize economic, safety, and health outcomes. This study uses Spatial Durbin models with street segment and census tract by year fixed effects to examine the impact of physical property investments on changes in property and violent crime over an 11-year period (2008-2018) in six large U.S. cities. The units of analysis are commercial and residential street segments. Street segments are classified into low, medium, and high crime terciles defined by initial crime levels (2008-2010). Difference of coefficients tests identify significant differences in building permit effects across crime terciles. The findings reveal there is a significant negative relationship between physical property investments and changes in property and violent crime on commercial and residential street segments in all cities. Investments have the greatest public safety benefit where initial crime levels are the highest. The decrease in violent crime is larger on commercial street segments, while the decrease in property crime is larger on residential street segments. Targeting the highest crime street segments (i.e., 90th percentile) for property improvements will maximize public safety benefits.
Keywords
Violent and property crime; Public safety; Physical property investments
UW researchers issue state-level policy recommendations for transit-oriented development
CBE Researchers developed a report “Finding Common Ground: Best Practices for Policies Supporting Transit-Oriented Development,” with the Mobility Innovation Center and led by the Washington Center for Real Estate Research. Project Team: Mason Virant, Associate Director, Washington Center for Real Estate Research Christian Phillips, Urban Design and Planning PhD Program Steven C. Bourassa, PhD Director, Washington Center for Real Estate Research Arthur Acolin, Associate Professor, Runstad Department of Real Estate Visit the project page here.
The dynamics of housing cost burden among renters in the United States
Colburn, G., Hess, C., Allen, R., & Crowder, K. (2024). The dynamics of housing cost burden among renters in the United States. Journal of Urban Affairs, 1–20. https://doi.org/10.1080/07352166.2023.2288587.
Abstract
Housing cost burden—defined as paying more than 30% of household income for housing—has become a central feature of the American stratification system with dire consequences for the health and well-being of adults and children living in burdened households. To date, existing research has largely focused on the overall prevalence and distribution of housing cost burden—that is, the percentage of households that are cost burdened at a given time and differences in exposure to housing cost burden based on race and income using cross-sectional sources of data. To more fully understand the dynamics of housing cost burden among renter households in the United States including the frequency and duration of spells, we use 50 years of longitudinal data from the Panel Study of Income Dynamics (PSID). The analysis reveals that, in contrast to the episodic nature of poverty, housing cost burden is deep, frequent, and persistent for a growing share of American households.
Keywords
Housing cost burden; rental housing; housing affordability; rent burden
Three CBE Researchers Awarded UW Royalty Research Funds
Three CBE researchers were awarded Royalty Research Funds. This cycle, 93 proposals were submitted to the University of Washington Office of Research. 25 were selected for funding, a success rate of 27%. Vince Wang, Assistant Professor in the Runstad Department of Real Estate and Dylan Stevenson, Assistant Professor in Urban Design and Planning were awarded funding for their project entitled “Exploring Transformative Solutions to Build Housing Security and Climate Resilience: The Community Land Trust Model” Narjes Abbasabadi, Assistant Professor in…
Interdisciplinary team awarded an early-stage pilot grant from Population Health Initiative
Population Health Initiative gave 12 early-stage pilot grants to interdisciplinary teams. One team included Rebecca Walter, an associate professor in the Runstad Department of Real Estate. Project title: “Housing affordability and chronic stress in the US: Does affordability modify the effect of neighborhoods on health?” Project team: Amy J. Youngbloom, Department of Epidemiology Stephen J. Mooney, Department of Epidemiology Anjum Hajat, Department of Epidemiology Isaac Rhew, Department of Psychiatry & Behavioral Sciences Rebecca Walter, Runstad Department of Real Estate Project…
Can ChatGPT Evaluate Plans?
(2023). Can ChatGPT Evaluate Plans?, Journal of the American Planning Association, DOI: 10.1080/01944363.2023.2271893
Abstract
Problem, research strategy, and findings
Large language models, such as ChatGPT, have recently risen to prominence in producing human-like conversation and assisting with various tasks, particularly for analyzing high-dimensional textual materials. Because planning researchers and practitioners often need to evaluate planning documents that are long and complex, a first-ever possible question has emerged: Can ChatGPT evaluate plans? In this study we addressed this question by leveraging ChatGPT to evaluate the quality of plans and compare the results with those conducted by human coders. Through the evaluation of 10 climate change plans, we discovered that ChatGPT’s evaluation results coincided reasonably well (with an average of 68%) with those from the traditional content analysis approach. We further scrutinized the differences by conducting a more in-depth analysis of the results from ChatGPT and manual evaluation to uncover what might have contributed to the variance in results. Our findings indicate that ChatGPT struggled to comprehend planning-specific jargon, yet it could reduce human errors by capturing details in complex planning documents. Finally, we provide insights into leveraging this cutting-edge technology in future planning research and practice.
Takeaway for practice
ChatGPT cannot be used to replace humans in plan quality evaluation yet. However, it is an effective tool to complement human coders to minimize human errors by identifying discrepancies and fact-checking machine-generated responses. ChatGPT generally cannot understand planning jargon, so planners wanting to use this tool should use extra caution when planning terminologies are present in their prompts. Creating effective prompts for ChatGPT is an iterative process that requires specific instructions.
Keywords
ChatGPT; large language model; natural language processing; plan evaluation; plan quality