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.
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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
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.
Cai, M., Acolin, A., Moudon, A. V., & Shen, Q. (2023). Developing a multi-criteria prioritization tool to catalyze TOD on publicly owned land areas. Cities, 143, 104606-. https://doi.org/10.1016/j.cities.2023.104606
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Abstract
Public agencies can take a leading role in catalyzing TOD by making land available to developers (selling or leasing land, potentially below market prices). In particular, park-and-ride areas that are publicly owned can be leveraged to support TOD uses, such as affordable housing, office space, small businesses, and mixed-use buildings given their convenient access to transit systems and often large land areas. However, few previous studies have discussed the use of publicly owned park-and-rides, which are an important component of publicly owned land, as a catalyst for TOD. To fill the gap in the literature and effectively support TOD planning, this research developed a multi-criteria prioritization tool to identify the most promising locations for TOD and tested it at three park-and-ride sites owned by the Washington State Department of Transportation. The tool was developed through the Delphi process, which is an effective and inexpensive approach to evaluate relevant indicators by synthesizing the opinions of experts from various backgrounds. Five categories with a total of 14 TOD indicators, including transit supportive land-use zoning, job accessibility, land price, land-use mix, and household income, were selected as measures of TOD suitability. The importance of these indicators varied with three different TOD scenarios: (1) emphasis on affordable housing, (2) emphasis on market-rate housing, and (3) emphasis on mixed-use development. Using the calculated suitability scores, this tool can prioritize potential TOD sites for further review.
Keywords
TOD; Delphi method; Multi-criteria planning tool; Multi-sources geospatial data; Publicly owned land
Arthur Acolin & Rebecca J. Walter (2023). Mortgage Loan Costs: Magnitude and Drivers of Variation. Housing Policy Debate, DOI: 10.1080/10511482.2023.2236984
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Abstract
This article uses national data disclosed as part of the Home Mortgage Disclosure Act (HMDA) to examine variations in loan costs based on type of loan, borrower, purpose (purchase, improvement, or refinance), and neighborhood characteristics. Loan costs are generally higher for nonconventional conforming loans with higher levels of credit risks (loans with higher combined loan-to-value, higher debt-to-income ratios, and for investment properties). This implies that product and borrower risk impact loan costs. However, borrower characteristics such as income and race/ethnicity are also associated with differences in loan costs even after controlling for loan characteristics, location, and lender fixed effects. Total loan costs are higher both in dollar terms and as a share of the loan amount for Black borrowers and Hispanic borrowers, and total loan costs represent a higher share of the loan amount for lower income borrowers. These disparities are larger in neighborhoods with higher levels of lender concentration and implicit racial bias. These findings suggest that in addition to access to mortgages and interest rates, loan costs can represent a barrier for access to homeownership with a disparate impact for Black and Hispanic borrowers, which contributes to perpetuate the homeownership gap.
Keywords
Mortgage loan costs; homeownership; borrowing constraints; homeownership gap
The College of Built Environments awarded Research Restart funding to multiple project teams in 2022. Below are descriptions of their progress and project status to-date. July 2022 Cohort: Arthur Acolin received funding for their project entitled “Accessory Dwelling Units as Potential Source of Affordable Housing Across Generations.” A no-cost extension was approved in May 2023 due to delays in implementing the survey for the project. In July 2023, design of the survey instrument and postcards was completed, and next steps…
Walter, R. J., Tillyer, M. S., Ramiller, A., & Acolin, A. (2023). Scaling Down from the Neighborhood in Urban Planning Research and Practice: The Potential Benefits of a Micro-Scale Focus. Journal of Planning Education and Research. https://doi.org/10.1177/0739456X231175593
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Abstract
The neighborhood has been the dominant spatial unit in urban planning since the early 20th century. Criticisms of the neighborhood unit include disagreements about defining boundaries, methodological challenges in capturing neighborhood effects, and negative impacts on communities. With advancements in data management, and public data available at smaller units (street block or property), quantitative analyses are possible at the micro-scale. This commentary draws on crime research and prevention to illustrate the benefits of micro-scale approaches to quantitative analyses in the field of urban planning, arguing that the devolution to smaller scales may be a vehicle for efficient resource allocation.
Arthur Acolin, Associate Professor and Bob Filley Endowed Chair in the Runstad Department of Real Estate, was recently awarded an NIH R21 grant for his project entitled ‘Gentrification, Mobility, and Exposure to Contextual Determinants of Health.’ The project will examine how gentrification affects mobility patterns at the neighborhood levels and changes exposure to contextual determinants of health that have been shown to contribute to social and race/ethnic inequalities in health. The proposed research leverages consumer trace data from Data Axle…
Acolin, Arthur; Reina, Vincent. (2022). Housing Cost Burden and Life Satisfaction. Journal Of Housing & The Built Environment, 37(4), 1789-1815.
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Abstract
The share of income that households spent on their housing has been increasing over time in a wide range of countries, particularly among lower income households. In theory, the share of income spent on housing can reflect variations in household preferences for housing consumption but for low-income household, high burdens are likely more reflective of constraints and force these households to face tradeoffs between housing and non-housing consumption that negatively affect their overall life satisfaction. This paper uses data from the 2018 European Union Statistics on Income and Living Conditions (EU-SILC) for 14 countries. We find that, controlling for household sociodemographic characteristics, households spending more than 30 percent of their income and those spending more than 50 percent of their income on housing report significantly lower levels of life satisfaction. The estimated relationship is largest for this latter heavily cost burdened group. The negative relationship between housing cost burden and reported life satisfaction is found across countries but varies in magnitude, suggesting that stronger welfare systems may mediate the negative impacts of housing cost burdens, although further research is needed to confirm both this relationship and the precise mechanisms driving it.
Keywords
Life Satisfaction; Income; Housing; Poor Communities; Subjective Well-being (psychology); Living Conditions; European Countries; Housing Cost; Subjective Wellbeing; Economic Hardship; Homeownership; Affordability; Determinants; Cost Analysis; Housing Costs; Households; Consumption; Low Income Groups; Expenditures; Welfare; Sociodemographics
Acolin, Arthur;hoek-smit, Marja;green, Richard K. (2022). Measuring the Housing Sector’s Contribution to GDP in Emerging Market Countries. International Journal Of Housing Markets And Analysis, 15(5), 977-994.
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Abstract
Purpose > This paper aims to document the economic importance of the housing sector, as measured by its contribution to gross domestic product (GDP), which is not fully recognized. In response to the joint economic and health crises caused by the COVID-19 pandemic, there is an opportunity for emerging market countries to develop and implement inclusive housing strategies that stimulate the economy and improve community health outcomes. However, so far housing does not feature prominently in the recovery plans of many emerging market countries. Design/methodology/approach > This paper uses national account data and informal housing estimates for 11 emerging market economies to estimate the contribution of housing investments and housing services to the GDP of these countries. Findings > This paper finds that the combined contribution of housing investments and housing services represents between 6.9% and 18.5% of GDP, averaging 13.1% in the countries with information about both. This puts the housing sector roughly on par with other key sectors such as manufacturing. In addition, if the informal housing sector is undercounted in the official national account figures used in this analysis by 50% or 100%, for example, then the true averages of housing investments and housing services’ contribution to GDP would increase to 14.3% or 16.1% of GDP, respectively. Research limitations/implications > Further efforts to improve data collection about housing investments and consumption, particularly imputed rent for owner occupiers and informal activity require national government to conduct regular household and housing surveys. Researcher can help make these surveys more robust and leverage new data sources such as scraped housing price and rent data to complement traditional surveys. Better data are needed in order to capture housing contribution to the economy. Practical implications > The size of the housing sector and its impact in terms of employment and community resilience indicate the potential of inclusive housing investments to both serve short-term economic stimulus and increase long-term community resilience. Originality/value > The role of housing in the economy is often limited to housing investment, despite the importance of housing services and well-documented methodologies to include them. This analysis highlights the importance of housing to the economy of emerging market countries (in addition to all the non-GDP related impact of housing on welfare) and indicate data limitation that need to be addressed to further strengthen the case for focusing on housing as part of economic recovery plans.
Keywords
Pandemics; Economic Importance; Investments; Housing; Sanitation; Recovery; International Organizations; Covid-19; Economic Growth; Data Collection; Economic Indicators; Economics; Housing Conditions; Economic Policy; Economic Conditions; Market Economies; Resilience; Low Income Groups; Economic Activity; Consumption; Emerging Markets; Earthquakes; Surveys; Gross Domestic Product--gdp; Coronaviruses; Affordable Housing; Economic Development; Informal Economy; Households; Recovery Plans; Disease Transmission; Africa; South Africa; India
Ramiller, Alex; Acolin, Arthur; Walter, Rebecca J.; Wang, Ruoniu. (2022). Moving to Shared Equity: Locational Outcomes for Households in Shared Equity Homeownership Programs. Housing Studies, 44586.
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Abstract
Abstract The impact of U.S. housing policy on household locational outcomes has primarily been studied in the context of rental housing assistance programs, but the impact of alternative homeownership models is less fully explored. In this study, we assess residential trajectories for households that have participated in shared-equity homeownership (SEH) programs such as Community Land Trusts and Limited Equity Housing Cooperatives. We examine changes in neighborhood characteristics that occur when households enter and exit SEH units, and compare those outcomes with similar households that entered traditional homeownership or continued to rent. We find that while entering SEH is associated with decreases in neighborhood opportunity measures, exiting SEH is associated with improvements in key measures including lower concentrations of poverty. We conclude that while entering SEH may entail moving to lower-opportunity neighborhoods, participation in SEH programs increases the long-term economic and socio-spatial mobility of participating households by enabling them to access a broader array of neighborhood contexts in their subsequent move. [ABSTRACT FROM AUTHOR]; Copyright of Housing Studies is the property of Routledge and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Keywords
Community Land Trusts; Geographies Of Opportunity; Locational Outcomes; Residential Mobility; Shared-equity Homeownership