Replicating Group-Based Trajectory Models of Crime at Micro-Places in Albany, NY

The Trajectories of Crime at Places: Understanding the Patterns of Disaggregated Crime Types

“…Considering the spatial patterns of the various trajectory groups, Groff et al (2010) found that high crime street segments tended to have the greatest level of spatial clustering, crime-free and low-stable street segments were the most uniformly distributed across Seattle, and within any given neighborhood zero crime street segments may be contiguous to high crime street segments showing the importance of analyzing crime and the micro level. And most recently, Weisburd et al (2012) extended the time of analysis to 1989-2004, generally confirming their previous results. Weisburd et al (2012) also investigated why street segments fell into the trajectory groups that they did.…”

“…And most recently, Weisburd et al (2012) extended the time of analysis to 1989-2004, generally confirming their previous results. Weisburd et al (2012) also investigated why street segments fell into the trajectory groups that they did. Using a logistic regression framework, they found that high crime rate street segments were associated with: the presence of high-risk juveniles, industrial and commercial areas, public facilities (schools and community centers, for example), bus stops, arterial roads, and vacant land.…”

“…Weisburd et al (2004), studying crime concentrations in Seattle, Washington, found that approximately 5 % of street segments accounted for 50 % of all calls for police service; this high degree of spatial concentration was consistent over a 14-year time period, indicating a high degree of stability in these spatial concentrations-more on the measured stability is discussed below. Subsequent research by these authors confirmed this spatial concentration in other contexts (Weisburd et al 2009b(Weisburd et al , 2012. Similarly, in the context of shootings and robbery in Boston, Massachusetts, Braga et al (2010Braga et al ( , 2011 found that over a 29-year period less than 3 % of street segments and intersections accounted for 50 % of shootings and 8.1 % of street segments and intersections accounted for 50 % of robberies; moreover, robberies only occurred on 12 % of street segments in the city.…”

“…This phenomenon is what Weisburd et al (2012) refer to as the law of crime concentration at places. Moreover, these concentrations vary by crime type such that individual crime types should be investigated if these patterns are to be understood.…”

“…One of the most significant findings to manifest itself is the stability of spatial crime patterns at microplaces. This has led to Weisburd et al (2012) to refer to the law of crime concentration at places. From the perspective of crime concentrations, the general result is that 5 % of micro-places (most often street segments) account for 50 % of criminal activity; this result has been found in many cities around the world (Andresen and Linning 2012;Andresen et al 2016;Melo et al 2015;Sherman et al 1989;Weisburd 2015;Weisburd and Amram 2014).…”