Ryan J. Bunting

Bio: Ryan J. Bunting is an academic researcher from University of Miami. The author has contributed to research in topics: Crime mapping. The author has an hindex of 1, co-authored 1 publications receiving 27 citations.

Spatial Patterns of Larceny and Aggravated Assault in Miami–Dade County, 2007–2015

Abstract: The combination of crime mapping and geospatial analysis methods has enabled law enforcement agencies to develop more proactive methods of targeting crime-prone neighborhoods based on spatial patterns, such as hot spots and spatial proximity to specific points of interest. In this article, we investigate the spatial and temporal patterns of the neighborhood crimes of aggravated assault and larceny in 297 census tracts in Miami–Dade County from 2007 to 2015. We use emerging hot spot analysis (EHSA) to identify the spatial patterns of emerging, persistent, continuous, and sporadic hot spots. In addition, we use geographically weighted regression to analyze the spatial clustering effects of sociodemographic variables, poverty rate, median age, and ethnic diversity. The hot spots for larceny are much more diffused than those for aggravated assaults, which exhibit clustering in the north over Liberty City and Miami Gardens and in the south near Homestead, and the ethnic heterogeneity index has a moderate and p...

Great American city: Chicago and the enduring neighborhood effect

Abstract: Sampson, Robert J. 2012. Great American city: Chicago and the enduring neighborhood effect. Chicago: University of Chicago Press. ISBN-13: 9780226734569. pp. 552, $27.50 cloth. Robert J. Sampson’s ...

Spatial Pattern and Effects of Urban Coordinated Development in China’s Urbanization

Abstract: Regional urbanization in China has made formidable progress in, among other things, economic growth and urban sprawl, but local development is undergoing severe stress with irreversible impacts for urban ecological environment. Furthermore, spatial interactions are proved to be related to urban coordinated development. However, this spatial effect cannot usually be found in the literature. Based on the concept of coordinated development, the interaction among the economic, social and ecological systems of cities at prefecture level and above in China can be modeled by a coupling coordination model, and then analyzed using spatial analysis methods and spatial econometrics models, which can explain the patterns in spatial variation and its evolutionary trends. The results show that urban coordinated development has an apparent spatial heterogeneity, and East China develops better than West China. Moreover, urban coordinated development has an increasing global trend, which mainly results from East China, while the other regions cannot provide a definite boost. Lastly, there is an evident spatial dependence in urban coordinated development, which is positively influenced by an area’s own previous condition and its neighboring cities. Furthermore, population size, local GDP and green land, etc. have spatial spillover effects on urban coordinated development in China.

The role of land use and walkability in predicting crime patterns: A spatiotemporal analysis of Miami-Dade County neighborhoods, 2007–2015

Abstract: This study investigates the relationship between land use, walkability, and the outcomes of neighborhood crime rates of larceny and aggravated assault. We use a combination of OLS regression models, harmonic analysis of diurnal patterns, and geospatial statistical techniques to examine the spatial patterning of larceny and aggravated assault in 782 Census blocks in Miami-Dade County, Florida with long-term data from 2007 to 2015. The results show that neighborhoods (i.e., Census block clusters) with higher levels of walkability have greater levels of aggravated assault. We also find that the increasing land-use diversity increases both aggravated assault and larceny. Finally, aggravated assault peaks during late night hours, while larceny peaks during daytime hours. Based on the results of our study using conventional and geospatial analyses, routine activity and social disorganization theories of neighborhood crime are partially supported, in that more motivated offenders and potential targets increase crime rates, while increased guardianship and informal social control reduce crime rates. The results of this study have important implications for security experts, law-enforcement agencies, and urban planning policy specialists focused on reducing crime in metropolitan areas. It is also relevant for theoretical frameworks designed to explain and predict temporal and spatial crime patterning.