The Influence of Community Areas,Neighborhood Clusters,and Street Segments on the Spatial Variability of Violent Crime in Chicago

Objectives

The influence of three hierarchical units of analysis on the total spatial variability of violent crime incidents in Chicago is assessed. This analysis seeks to replicate a recent study that found street segments, rather than neighborhood units of analysis, accounted for the largest share of the total spatial variability of crime in The Hague, Netherlands (see Steenbeek and Weisburd J Quant Criminol. doi: 10.1007/s10940-015-9276-3, 2015).

Methods

We analyze violent crime incidents reported to the police between 2001 and 2014. 359,786 incidents were geocoded to 41,926 street segments nested within 342 neighborhood clusters, in turn nested within 76 community areas in Chicago. Linear mixed models with random slopes of time were estimated to observe the variance uniquely attributed to each unit of analysis.

Results

Similar to Steenbeek and Weisburd, we find 56–65 % of the total variability in violent crime incidents can be attributed to street segments in Chicago. City-wide reductions in violence over the observation period coincide with increases in the spatial variability attributed to street segments and decreases in the variability attributed to both neighborhood units.

Conclusions

Our results suggest that scholars interested in understanding the spatial variation of crime across urban landscapes should be focused on the small places that comprise larger geographic areas. The next wave of “neighborhood-effects” research should explore the role of hierarchical processes in understanding crime variation within larger areas.

     

Assessing the Validity of the Law of Crime Concentration Across Different Temporal Scales

Objectives

The present study examined if Weisburd’s (Criminology 53(2):133–157, 2015) law of crime concentration held across different theoretically relevant temporal scales.

Methods

The cumulative percentages of Philadelphia, PA USA street blocks and intersections experiencing 25 and 50 % of street robberies by hour of the day, days of the week, and seasons of the year were compared to the bandwidth percentages established by Weisburd (2015). Different analyses were used to determine the stability of the micro-places’ street robbery levels within the three temporal scales.

Results

We found that the cumulative percentages of street blocks and intersections experiencing 25 and 50 % of street robberies at each of the three temporal scales closely matched the bandwidth percentages expected from Weisburd (2015) and some micro-places experienced street robberies across all temporal periods while others had more isolated temporal concentrations.

Conclusion

Weisburd’s (2015) law of crime concentration holds across different theoretically relevant temporal scales, and future criminology of place studies should not ignore temporal crime patterns. Further, it may be possible to refine hot spots policing approaches by incorporating spatial–temporal crime concentrations.

     

A quasi-experimental evaluation of the impact of bike-sharing stations on micro-level robbery occurrence

Objectives

To examine if the implementation of bike-sharing stations is linked to robbery occurrence in micro-level street corner units in Cincinnati, OH, USA.

Methods

Propensity score matching was used to select comparison street corner units. The effect of bike-sharing station implementation on robbery occurrence across weekly, biweekly, and monthly observations was estimated using repeated measures multi-level logistic regression models.

Results

Bike-sharing stations did not statistically significantly link to robbery occurrence in immediate or nearby street corner units after implementation.

Conclusions

Numerous explanations consistent with Crime Pattern Theory may explain the null effect of bike-sharing stations on robbery occurrence. Future research should continue to examine how changes in the urban backcloth, such as bike-sharing stations, impact geographic crime patterns.

     

The Thawing of a Frozen Conflict: The Internal Security Dilemma and the 2004 Prelude to the Russo-Georgian War

While the proximate causes of the 2008 Russo–Georgian war have yet to be satisfactorily investigated, an assessment of an earlier occasion of conflict in South Ossetia in 2004 can lay the groundwork for an analysis of the later war. Like the 2008 war, the 2004 conflict was comprehensible on the basis of the ambitious war plans of opposing sides, but it was ultimately rooted in a security dilemma. The conflict thus provides a precedent for considering how a mix of limited offensive intentions, insecurity, uncertainty, and cognitive shortcuts and misperceptions had the capacity to lead to inadvertent war between Russia and Georgia over South Ossetia.     

Supply Chain Linkages and the Extended Carbon Coalition

Which firms oppose action to fight climate change? Networks of input sourcing and sales to downstream customers ought to propagate and reinforce opposition to decarbonization beyond direct emitters of CO₂. To test this claim, we build the largest data set of public political activity for and against climate action in the United States, revealing that the majority of corporate opposition to climate action comes from outside the highest‐emitting industries. We construct new measures of the carbon intensity of firms and show that policy exposure via carbon‐intensive inputs and sales to downstream emitters explains this large volume of opposition from non‐emitting industries. Sixty‐six percent of U.S. lobbying on climate policy has been conducted by an extended coalition of firms, associations, and other groups that have publicly opposed reducing carbon emissions. Public opposition to climate action by carbon‐connected industries is therefore broad‐based, highly organized, and matched with extensive lobbying.     

Do Employers Prefer Workers Who Attend For‐Profit Colleges? Evidence from a Field Experiment

This paper reports results from a resume‐based field experiment designed to examine employer preferences for job applicants who attended for‐profit colleges. For‐profit colleges have seen sharp increases in enrollment in recent years despite alternatives, such as public community colleges, being much cheaper. We sent almost 9,000 fictitious resumes of young job applicants who recently completed their schooling to online job postings in six occupational categories and tracked employer callback rates. We find no evidence that employers prefer applicants with resumes listing a for‐profit college relative to those whose resumes list either a community college or no college at all.