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
Costa, Ana; Sass, Victoria; Kennedy, Ian; Roy, Roshni; Walter, Rebecca J.; Acolin, Arthur; Crowder, Kyle; Hess, Chris; Ramiller, Alex; Chasins, Sarah. (2021). Toward a Cross-Platform Framework: Assessing the Comprehensiveness of Online Rental Listings. Cityscape, 23(2), 327 – 339.
Abstract
Research on rental housing markets in the United States has traditionally relied on national or local housing surveys. Those sources lack temporal and spatial specificity, limiting their use for tracking short-term changes in local markets. As rental housing ads have transitioned to digital spaces, a growing body of literature has utilized web scraping to analyze listing practices and variations in rental market dynamics. Those studies have primarily relied on one platform, Craigslist, as a source of data. Despite Craigslist's popularity, the authors contend that rental listings from various websites, rather than from individual ones, provide a more comprehensive picture. Using a mixed-methods approach to study listings across various platforms in five metropolitan areas, this article demonstrates considerable variation in both the types of rental units advertised and the features provided across those platforms. The article begins with an account of the birth and consolidation of online rental platforms and emergent characteristics of several selected websites, including the criteria for posting, search parameters, search results priority, and first-page search results. Visualizations are used to compare features such as the 40th percentile of rent, rent distribution, and bedroom size based on scraped data from six online platforms (Padmapper, Forrent.com , Trulia, Zillow, Craigslist, and GoSection8), 2020 Fair Market Rents, and 2019 American Community Survey data. The analyses indicate that online listing platforms target different audiences and offer distinct information on units within those market segments, resulting in markedly different estimates of local rental costs and unit size distribution depending on the platform.
Hess, Chris; Acolin, Arthur; Walter, Rebecca; Kennedy, Ian; Chasins, Sarah; Crowder, Kyle. (2021). Searching for Housing in the Digital Age: Neighborhood Representation on Internet Rental Housing Platforms across Space, Platform, and Metropolitan Segregation. Environment And Planning A-economy And Space, 53(8), 2012 – 2032.
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Abstract
Understanding residential mobility, housing affordability, and the geography of neighborhood advantage and disadvantage relies on robust information about housing search processes and housing markets. Existing data about housing markets, especially rental markets, suffer from accuracy issues and a lack of temporal and geographic flexibility. Data collected from online rental platforms that are commonly used can help address these issues and hold considerable promise for better understanding the full distribution of available rental homes. However, realizing this promise requires a careful assessment of potential sources of bias as online rental listing platforms may perpetuate inequalities similar to those found in physical spaces. This paper approaches the production of rental advertisements as a social process driven by both contextual and property level factors. We compare data from two online platforms for the 100 most populated metropolitan areas in the United States to explore inequality in digital rental listing spaces and understand what characteristics are associated with over and underrepresentation of advertisements in certain areas. We find similar associations for socioeconomic measures between platforms and across urban and suburban parts of these metropolitan areas. In contrast, the importance of racial and ethnic composition, as well as broader patterns of segregation, for online representation differs substantially across space and platform. This analysis informs our understanding of how online platforms affect housing search dynamics through their biases and segmentation, and highlights the potential and limits in using the data available on these platforms to produce small area rental estimates.
Keywords
Fair Market Rents; Cities; Opportunity; Residential Mobility; Online Rental Listings; Rental Housing Markets; Housing Search; Inequality
Tillyer, Marie Skubak; Wilcox, Pamela; Walter, Rebecca J. (2021). Crime Generators In Context: Examining ‘place In Neighborhood’ Propositions. Journal Of Quantitative Criminology, 37(2), 517 – 546.
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Abstract
Objectives The present study tests hypotheses regarding the moderating influence of neighborhood-level criminal opportunity on the relationship between crime generators and block-level crime. Methods We first estimated multilevel negative binomial regression models for violent, property, and drug crimes to identify crime-type specific crime generators on each block. We then estimated a series of crime-type specific models to examine whether the effects of violent, property, and drug crime generators are moderated by three census block group-level indicators of neighborhood criminal opportunity-concentrated disadvantage, vehicular traffic activity, and civic engagement. Results The positive relationship between crime generators and crime on blocks was exacerbated in census block groups with high levels of concentrated disadvantage and high levels of traffic activity for all three crime types. The effects of crime generators on block-level crime were significantly tempered in census block groups with high levels of civic engagement. Conclusions Particular place types do not generate crime similarly across varying neighborhood contexts. Rather, the criminogenic effects of micro-places appear to be exacerbated in neighborhoods with extensive criminal opportunity and tempered in neighborhoods with less criminal opportunity.
Keywords
Neighborhoods; Crime; Regression Analysis; Census; Crime And Place; Crime Generators; Multilevel Opportunity; Place In Neighborhood; Alcohol Outlet Density; Block-level Analysis; Social-disorganization; Routine Activities; Longitudinal Analysis; Street Robbery; Land-use; Multilevel; Victimization; Community; Citizen Participation; Traffic; Property Offences; Drugs; Effects; Property
Walter, Rebecca J.; Caudy, Michael; Galvan Salcido, Christine; Ray, James; Viglione, Jill. (2021). Exploring Post-Incarceration Residential Trajectories: Indicators of Housing Stability During the Re-entry Process. Housing, Theory & Society, 38(3), 300 – 319.
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Abstract
Extant research on housing instability focuses on external housing barriers but limited research exists on individual-level indicators of housing stability for individuals returning to society from incarceration. This study addresses this gap with data collected from 70 individuals recently released from incarceration who returned to Bexar County (San Antonio, Texas) that were not placed in specific housing programmes, leaving them to seek housing independently. The study explores residential trajectories and the utility of individual-level characteristics, specifically readiness for change, in relation to housing stability. The findings reveal the importance of assessing the dynamics of each individual living situation since many of the participants are housed but not in stable housing situations. Furthermore, readiness for change (specifically action, self-sufficiency, and human agency) is found to be a significant indicator of housing stability and may represent an important intervention target for re-entry and reintegration programmes. [ABSTRACT FROM AUTHOR]; Copyright of Housing, Theory & Society 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
Housing Discrimination; Housing; Self-reliant Living; Housing Instability; Housing Stability; Re-entry; Readiness For Change; Residential Trajectories
Acolin, Arthur; Colburn, Gregg; Walter, Rebecca J. (2022). How Do Single-Family Homeowners Value Residential and Commercial Density? It Depends. Land Use Policy, 113.
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Abstract
This paper develops estimates of the relationship between local density and single-family home values using 2017 transactions for five U.S. metropolitan regions: Chicago, Los Angeles, Minneapolis, Philadelphia, Seattle. Proposals to build new commercial and residential development projects that would increase local density commonly face opposition from local homeowners. Academic literature links the response from homeowners to concerns that higher density is associated with lower property values but there is limited empirical evidence establishing this relationship at the local level. We find a positive and significant relationship between density and house value in the core area of the five metropolitan regions we analyze. Within 7.5 miles of the center of these metropolitan regions, a 10% increase in surrounding built area density is associated with a 1.1–1.9% increase in house prices per square foot. For outlying areas, the estimates are smaller and even negative in several cases. We instrument density based on topographic and soil characteristics and find similar results. These findings point to the need for a more nuanced discussion of the relationship between local density and housing values.
Keywords
Population Density; Soil Density; Single Family Housing; Home Ownership; Housing Development; Housing Discrimination; Home Prices; Los Angeles (calif.); Density; Single-family House Value; Urban Form; Residential Development; Real Estate; Property Values; Residential Density; Development Programs; Housing; Estimates; Metropolitan Areas; Development Projects; Empirical Analysis; Families & Family Life; Soil Characteristics
Cordoba, Hilton A.; Walter, Rebecca J.; Foote, Nathan S. (2018). The Residential Segregation of San Antonio, Texas in 1910: An Analysis Of Ethno-racial and Occupational Spatial Patterns with the Colocation Quotient. Urban Geography, 39(7), 988 – 1017.
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Abstract
The segregation of cities can be traced to a time when the compartmentalization of space and people was based on factors other than race. In segregation research, one of the limiting factors has always been the geographic scale of the data, and the limited knowledge that exists of segregation patterns when the household is the unit of analysis. Historical census data provides the opportunity to analyze the disaggregated information, and this paper does so with San Antonio during 1910. A spatial analysis of residential segregation based on race, ethnicity, and occupations is carried out with the colocation quotient to map and measure the attraction of residents. Results reveal the presence of residential segregation patterns on different sectors of the city based on households' ethno-racial and occupational attributes; therefore, providing evidence of the existence of residential segregation prior to the commonly cited determinants of segregation of the 20th century.
Keywords
Housing Tax Credit; Local Indicators; New York; Association; Indexes; Cities; Scale; City; Differentiation; Environment; Residential Segregation; Colocation Quotient; San Antonio; Spatial Analysis
Walter, Rebecca J. (2018). Consolidating Zip Codes For Small Area Fair Market Rents: A Method For Implementing The New Rule. Housing Policy Debate, 28(4), 553 – 571.
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Abstract
Fair Market Rents (FMRs), calculated for an entire metropolitan region, are used to establish payment standards for the Housing Choice Voucher (HCV) program. In response to recent criticism that FMRs do not represent rent disparity and restrict households from moving to high-opportunity areas, a new rule introducing Small Area Fair Market Rents (SAFMRs) has been issued. SAFMRs are based on ZIP codes to reflect local market rents and increase the number of payment standards used to administer the HCV program. The purpose of this research is to determine whether the number of payment standards can be reduced by consolidating ZIP codes, while adhering to the primary objectives of the SAFMR rule. The ZIP code grouping process conducted offers one method for reducing the number of payment standards needed to implement the new rule; however, the rent analysis reveals the over- and underestimation of SAFMRs for some ZIP codes.
Keywords
Vouchers; Price; U.S Department Of Housing And Urban Development; Housing Choice Voucher Program; Fair Market Rents; Small Area Fair Market Rents; Standards; Markets; Payments; Housing; Households; Criticism; Metropolitan Areas; Postal Codes; State Court Decisions; Rents; Housing Policy; Rules
Salcido, Christine Galvan; Ray, James V.; Caudy, Michael; Viglione, Jill; Walter, Rebecca J. (2019). Associations Between Psychopathic Traits and Readiness for Change: An Exploratory Analysis. Personality And Individual Differences, 141, 86 – 91.
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Abstract
Readiness to change (RTC) indicates an individual's recognition of a problem as well as confidence in their ability to change (Gaume, Bertholet, & Daeppen, 2016), and is hypothesized to play an important role in therapeutic processes aimed at changing offending behaviors (Polaschek & Ross, 2010). However, prior research has generally failed to consider RTC among severe offender subgroups (Hodge & Renwick, 2002; Howells & Day, 2007) such as those with psychopathic personality features whom have often been characterized as resistant to treatment (Harris & Rice, 2006; Salekin, 2002). In the current sample of formerly incarcerated persons (N = 70), we explore the relationship between psychopathic personality traits, as measured by the Triarchic Psychopathy Measure (TriPM; Patrick, 2010), and the unique components of RTC, as measured by an originally constructed assessment called the Change Readiness Scale (CRS). Each item of the CRS has been empirically supported and combined to form five subscales of change readiness (recognition, action, social bonds, human agency, and self efficacy). Results show unique associations between the subscales of the TriPM and aspects of the RTC construct, yielding it necessary to further explore these relationships to better understand how these factors may contribute to treatment and justice system outcomes.
Keywords
High-risk; Therapeutic Alliance; Personality; Validation; Construct; Behavior; Psychopathy; Readiness To Change; Triarchic Psychopathy Measure; Reentry; Offender
Tillyer, Marie Skubak; Walter, Rebecca J. (2019). Busy Businesses and Busy Contexts: The Distribution and Sources of Crime at Commercial Properties. Journal Of Research In Crime & Delinquency, 56(6), 816 – 850.
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Abstract
Objective: Examine the distribution and sources of crime across freestanding businesses in San Antonio. We test hypotheses about the main and interactive effects of neighborhood and business characteristics on crime at the business, with a focus on busy contexts and busy businesses. Method: Police crime incident data are spatially joined to study area business parcels. Additional data sources include Infogroup USA Business Data, the American Community Survey, and an Environmental Protection Agency traffic activity indicator. Multilevel negative binomial regression models are estimated to observe the main and interactive effects of census block group and business variables on crime at the parcel. Results: Businesses located in block groups with more commercial property and high levels of vehicular traffic experience more crime. In addition, crime is higher at busy businesses, as indicated by employee size, sales volume, and square footage. Busy contexts and busy businesses do not appear to interact to increase crime at the parcel beyond their main effects. Conclusions: Crime is clustered at relatively few businesses, and this variation cannot be explained by business type alone. Both neighborhood and business characteristics are associated with crime at freestanding businesses, with busy businesses and those within busier block groups experiencing more crime.
Keywords
Business Enterprises; Commercial Real Estate; Crime; Businesses; Busy Places; Crime And Place; Crime Concentration; Infogroup Usa (company); United States. Environmental Protection Agency; Social-disorganization; Routine Activities; Street Segments; Micro Places; High-schools; Hot-spots; Criminology; Neighborhoods; Facilities; Multilevel; Companies; Law Enforcement; Business; Protection; Traffic; Police; Census; Trade; Sales; Environmental Protection; Commercial Property