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…
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
Tillyer, Marie Skubak; Acolin, Arthur; Walter, Rebecca J. (2022). Place-based Improvements for Public Safety: Private Investment, Public Code Enforcement, and Changes in Crime at Microplaces across Six U.S. Cities. Justice Quarterly, 44592.
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Abstract
Abstract Research demonstrates that crime concentrates at relatively few microplaces, and changes at a small proportion of locations can have a considerable influence on a city’s overall crime level. Yet there is little research examining what accounts for change in crime at microplaces. This study examines the relationship between two mechanisms for place-based improvements – private investment in the form of building permits and public regulation in the form of municipal code enforcement – and yearly changes in crime at street segments. We use longitudinal data from six cities to estimate Spatial Durbin Models with block group and census tract by year fixed effects. Building permits and code enforcement are significantly associated with reductions in crime on street segments across all cities, with spatial diffusion of benefits to nearby segments. These findings suggest public safety planning should include efforts that incentivize and compel physical improvements to high crime microplaces. [ABSTRACT FROM AUTHOR]; Copyright of JQ: Justice Quarterly 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
Code Enforcement; Crime And Place; Hot Spots; Investment; Place-based Improvements
Walter, Rebecca J.; Tillyer, Marie Skubak; Acolin, Arthur. (2022). Spatiotemporal Crime Patterns across Six US Cities: Analyzing Stability and Change in Clusters and Outliers. Journal Of Quantitative Criminology.
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Abstract
ObjectivesExamine the degree of crime concentration at micro-places across six large cities, the spatial clustering of high and low crime micro-places within cities, the presence of outliers within those clusters, and extent to which there is stability and change in micro-place classification over time. MethodsUsing crime incident data gathered from six U.S. municipal police departments (Chicago, Los Angeles, New York City, Philadelphia, San Antonio, and Seattle) and aggregated to the street segment, Local Moran’s I is calculated to identify statistically significant high and low crime clusters across each city and outliers within those clusters that differ significantly from their local spatial neighbors.ResultsWithin cities, the proportion of segments that are like their neighbors and fall within a statistically significant high or low crime cluster are relatively stable over time. For all cities, the largest proportion of street segments fell into the same classification over time (47.5% to 69.3%); changing segments were less common (4.7% to 20.5%). Changing clusters (i.e., segments that fell into both low and high clusters during the study) were rare. Outliers in each city reveal statistically significant street-to-street variability. ConclusionsThe findings revealed similarities across cities, including considerable stability over time in segment classification. There were also cross-city differences that warrant further investigation, such as varying levels of spatial clustering. Understanding stable and changing clusters and outliers offers an opportunity for future research to explore the mechanisms that shape a city's spatiotemporal crime patterns to inform strategic resource allocation at smaller spatial scales. (PsycInfo Database Record (c) 2022 APA, all rights reserved)
Keywords
Micro-places; Spatiotemporal Crime Patterns; Spatial Clusters; Spatial Outliers; No Terms Assigned