Browsing by Subject "spatial analysis"

Now showing 1 - 8 of 8
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    The closer the better? Examining support for a large urban redevelopment project in Atlanta
    (2017) Chiang Hsieh, Lin-Han; Noonan, Douglas S.
    The Atlanta BeltLine (BeltLine) is a large urban redevelopment project that is transforming 22 miles of historical railroad corridors into parks, trails, pedestrian-friendly transit, and affordable housing in the center of Atlanta, Georgia. This study examines how proximity to the BeltLine and other factors relate to public support for it, with data from a general public survey conducted in the summer of 2009. The result shows that support significantly declines as distance to the BeltLine increases. However, after controlling for expected use of the BeltLine parks and transit, the role of distance fades. Further, the results show that being a parent within the city limits is associated with the support for the BeltLine, which implies that the concern over tax increment financing (TIF) affecting future school quality hampers the support of the project. The findings point to individual tastes and family circumstances as driving support for the redevelopment project, rather than strictly property-specific attributes (as the homevoter hypothesis would predict). Another contribution of this study is to address the technical problem of missing precise spatial location values. Several imputation techniques are used to demonstrate the risks and remedies to missing spatial data.
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    Comparing Spatial Measures of the Built Environment for Health Research
    (2008-03-07T13:35:29Z) Hoch, Shawn C.; Wilson, Jeffrey S. (Jeffrey Scott), 1967-; Liu, Gilbert; Wiehe, Sarah
    Research on the association between health and the built environment often delineates environmental exposure using different spatial forms and distances surrounding points of interest, such as residences or schools. Examples from the literature include Euclidian and network buffers, administrative and census boundaries, and other arbitrary geographies, such as grid cells. There is a lack, however, of reports that describe the justifications or implications for using different methods. This research compares different forms and distances for measuring environmental variables surrounding residential locations in the context of adult walking behavior in Marion County, Indiana. Walkability index and vegetation greenness variables were evaluated within 400-meter, 1-kilometer, and 2-kilometer Euclidian and network buffers, census block groups and tracts, and 805- X 805-meter grid cells. Results of analyses using each of these methods to test walkability and greenness as correlates of self-reported walking behavior were compared. Significant differences were observed in measurements of environmental variables as a function of both size and form. There were also significant differences between spatial measure methods when measuring components of walkability and NDVI. Census geographies, widely used in the public health literature, yielded environmental variable measurements differently than did similarly-sized residence-based measure methods. In logistic regressions, the walkability index did not exhibit a significant relationship with self-reported walking behavior. NDVI exhibited a negative relationship with self-reported walking, although the relationship was reversed and significant when stratifying by residential density.
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    The Effect of Foreclosures on Crime in Indianapolis, 2003-2008
    (2012-09) Stucky, Thomas D.; Ottensmann, John R.; Payton, Seth B.
    Objective Until recently, few studies have examined the relationship between home foreclosures and crime. Foreclosures are one major source of neighborhood instability and can be expected to affect crime from several theoretical perspectives. Some recent research has found conflicting results on whether foreclosures cause crime. Method This study examines whether foreclosures are a robust predictor of crime and whether the effect of foreclosures on crime varies across neighborhood contexts. We estimate fixed-effects negative binomial models using geocoded Indianapolis foreclosure and crime data for 2003–2008 to predict crime counts in 1,000 feet × 1,000 feet square grid cells. Result Foreclosures exhibit consistent positive effects on indices of overall, property, and violent UCR-reported (where UCR is Uniform Crime Report) offenses in a cell and rape, aggravated assault, and burglary counts. In addition, foreclosures had greater effects on reported UCR crimes in stable neighborhoods, especially those with more owner-occupied homes. Conclusion Foreclosures were a robust predictor of crime in the current study.
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    Exploring the Conditional Effects of Bus Stops on Crime
    (2014-03) Stucky, Thomas D.; Smith, Sarah L.
    Public transportation is a major element of social life in most cities, and the most common mode of public transportation is busing. This study examines whether bus stops are a robust predictor of crime, net of other factors, and whether the effect of bus stops on crime is conditioned by socioeconomic and land use factors. We use geocoded Indianapolis crime and bus stop data for 2010 to predict crime counts in 500-feet × 500-feet square grid cells, using negative binomial models. Net of other factors, bus stops are associated with variation in counts of Uniform Crime Reports reported rape, robbery, aggravated assault, burglary and larceny in a cell. In addition, the effect of bus stops on crime was conditioned by land use characteristics. In particular, the effect of bus stops on crime was greater in commercial and industrial areas, but dampened in areas with high-density residential housing.
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    Intra and Inter-Neighborhood Income Inequality and Crime
    (2015-01) Stucky, Thomas D.; Payton, Seth B.; Ottensmann, John R.
    One important factor in many macro-level theories of crime is income inequality. Although research generally shows that low levels of neighborhood income are associated with crime, research studies have been less clear on whether income inequality is a robust, independent predictor of crime, particularly in small area studies, and few studies have explicitly considered income inequality between neighborhoods, and those that do typically focus on homicide. The current study examines whether within and between neighborhood income inequality is associated with variation in violent and property crime. We employ geocoded Uniform Crime Report data from the Indianapolis police department and economic and demographic characteristics of the population from the American Community Survey for 2005–2009. Consistent with prior research, lower levels of income were associated with higher violent and property crime counts. Within-tract income inequality was also associated with higher Uniform Crime Reports violent and property crimes in most models. Results also showed that the ratio of tract income levels to neighboring tracts is associated with variation in crime. Thus, both local and nearby income inequality affect crime. Implications for theory and policy are discussed.
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    Land Use And Violent Crime
    (2009-11) Stucky, Thomas D.; Ottensmann, John R.
    Although research has shown specific land uses to be related to crime, systematic investigation of land uses and violent crime has been less common. This study systematically examines links between land uses and violent crime and assesses whether such links are conditioned by socioeconomic disadvantage. We employ geocoded Uniform Crime Report (UCR) data from the Indianapolis police department and information on 30 categories of land use and demographic information from the 2000 U.S. Census. We use land use variables to predict violent crime counts in 1,000 × 1,000-feet grid cells using negative binomial regression models. Results indicate that, net of other variables, specific land uses predict variation in counts for individual violent crimes and aggregate rates. Some nonresidential land uses are associated with higher violent crime counts, whereas others are associated with lower counts. Specific land uses also condition the effects of socioeconomic disadvantage on violent crime. The implications for routine activity/opportunity and social disorganization/collective efficacy theories of crime are discussed.
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    Registered Sex Offenders and Reported Sex Offenses
    (2014-11) Stucky, Thomas D.; Ottensmann, John R.
    Geographic restrictions on registered sex offenders (RSOs) have become commonplace. Such policies generally assume that sex offenses are likely to be higher near RSOs. Yet, few ecological studies have examined this question empirically. The current study examines whether incidences of reported sex offenses are higher in proximity to the addresses of RSOs. Specifically, we examine whether there is a relationship between the number of reported sex offenses and the number of RSOs living in square grid cells (and in 1,000, 1,500, and 2,500 ft radii of the cell centroid) in Indianapolis. Count models indicate that the number of RSOs in an area is not a robust predictor of reported sex offenses, net of controls.
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    The Spatial Extent of the Effect of Foreclosures on Crime
    (2015-01) Payton, Seth B.; Stucky, Thomas D.; Ottensmann, John R.
    Although neighborhood stability has long been considered a substantial determinant of crime, foreclosures have not been the subject of concerted research among criminologists until recently. A number of recent studies have examined the linkage between home foreclosures and crime. Though generally finding a significant relationship, studies have used different approaches and units of analysis. This variation led us to examine the spatial extent to which foreclosures affect a relatively small surrounding area. In this paper, we consider the spatial extent of the foreclosure effect on crime by estimating fixed effect negative binomial models using geocoded UCR data for 2003–2008 and foreclosure data to predict crime counts using the number of foreclosures within various small area radii. Results show that, independently and jointly, foreclosures are a predictor of crime up to at least a distance of 2250 feet. Importantly, that effect declines with distance. We conclude with a discussion of the implications of those findings.