Socioecological Models of Automotive Theft: Integrating Routine Activity and Social Disorganization Approaches

Rice, Kennon; Csmith, William R.

doi:10.1177/002242780203900303

Cited by 141 publications

(110 citation statements)

References 67 publications

(92 reference statements)

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“…Walsh and Taylor (in press) found heterogeneity was a significant predictor of MVT rates, though only in one decade. Research by Davison (1995) and Rice and Smith (2002), however, found that MVT was actually lower in heterogeneous communities but greater in primarily African American communities.…”

Section: Socioeconomic Status (Ses)mentioning

confidence: 94%

Predicting Decade-Long Changes in Community Motor Vehicle Theft Rates

Walsh

Taylor

2007

Journal of Research in Crime and Delinquency

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Motor vehicle theft (MVT) is arguably the most underresearched Part I crime. This work predicts long-term changes in community MVT rates, extrapolating from earlier work in community fabric and changing personal crime and delinquency rates and cross-sectional work on MVT. Police data on MVTs generated MVT rates in one Midwestern city in 1990-1991 and 2000-2001 that were linked with census block group data. MVT rates went up later in communities more racially mixed initially and in those surrounded by initially higher MVT rates, suggesting extant community structure and surrounding crime generate subsequently unfolding impacts on MVT. A second series of models links changing MVT rates with contemporaneously increasing racial heterogeneity, decreasing community instability, and increasing surrounding MVT rates. Some associations between community structure and changing delinquency or crime appear relevant to shifting MVT rates. Resident-based, target-linked, and offender-dependent processes to be investigated are outlined.

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Section: Socioeconomic Status (Ses)mentioning

confidence: 94%

Predicting Decade-Long Changes in Community Motor Vehicle Theft Rates

Walsh

Taylor

2007

Journal of Research in Crime and Delinquency

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“…Each discipline examines the phenomenon of crime from its own perspective and using its specific terms and methods. However, the importance of spatial, also known as environmental or geographic, determinants of crime is recognized and empirically analyzed in these disciplines, e.g., Rice and Smith [1] in sociology, Roh and Leipning [2] in criminology, and Herbert [3] in geography. Most urban criminal events occur in areas characterized by specific land use features, facilities, or population.…”

Section: Introductionmentioning

confidence: 99%

Land Use Influencing the Spatial Distribution of Urban Crime: A Case Study of Szczecin, Poland

Sypion-Dutkowska

Leitner

2017

IJGI

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This paper falls into a common field of scientific research and its practical applications at the interface of urban geography, environmental criminology, and Geographic Information Systems (GIS). The purpose of this study is to identify types of different land use which influence the spatial distribution of a set of crime types at the intra-urban scale. The originality of the adopted approach lies in its consideration of a large number of different land use types considered as hypothetically influencing the spatial distribution of nine types of common crimes, geocoded at the address-level: car crimes, theft of property-other, residential crimes, property damage, commercial crimes, drug crimes, burglary in other commercial buildings, robbery, and fights and battery. The empirical study covers 31,319 crime events registered by the Police in the years 2006-2010 in the Polish city of Szczecin with a population ca. 405,000. Main research methods used are the GIS tool "multiple ring buffer" and the "crime location quotient (LQC)". The main conclusion from this research is that a strong influence of land use types analyzed is limited to their immediate surroundings (i.e., within a distance of 50 m), with the highest concentration shown by commercial crimes and by the theft of property-other crime type. Land use types strongly attracting crime in this zone are alcohol outlets, clubs and discos, cultural facilities, municipal housing, and commercial buildings. In contrast, grandstands, cemeteries, green areas, allotment gardens, and depots and transport base are land use types strongly detracting crime in this zone.

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“…The mean household income of a suburb should increase the suitability of potential targets as the greater the household income presumably the more desirable and valuable are the household contents. Some prior research has provided evidence for this relationship (Miethe & Meier, 1990;Rice & Smith, 2002).…”

Section: Independent Variablesmentioning

confidence: 95%

The effect of altitude and slope on the spatial patterning of burglary

Breetzke

2012

Applied Geography

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Physical geography is significant for crime, and its presence or absence, yet no studies have investigated the relationship between crime and certain broader features of physical geography such as altitude, and slope. In this study I attempt to fill this gap by using OLS and geographically weighted regression to gauge the effect of altitude and slope on burglary patterns in Tshwane, South Africa. In the analysis I found considerable evidence that residing at a greater altitude reduces your risk of burglary victimization, although residing on steeper slopes had no effect. In the discussion I argue that the underlying relief and terrain on which neighborhoods are built should form an essential "physical" component of the environmental backcloth that surrounds offenders and influences their spatial decision making processes.

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Socioecological Models of Automotive Theft: Integrating Routine Activity and Social Disorganization Approaches

Cited by 141 publications

References 67 publications

Predicting Decade-Long Changes in Community Motor Vehicle Theft Rates

Predicting Decade-Long Changes in Community Motor Vehicle Theft Rates

Land Use Influencing the Spatial Distribution of Urban Crime: A Case Study of Szczecin, Poland

The effect of altitude and slope on the spatial patterning of burglary

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