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Spatial Analysis of Nighttime Crime Clustering Near Regions With Broken Street Lighting in Manhattan NYC

Authors: Erin Arndt*, Pennsylvania State University
Topics: Geographic Information Science and Systems, United States, Population Geography
Keywords: Spatial Analysis, Crime, Cluster Analysis
Session Type: Poster
Day: 4/8/2020
Start / End Time: 3:20 PM / 4:35 PM
Room: Virtual Track 3
Presentation File: No File Uploaded

I am inquiring whether crimes that occur at night tend to cluster in areas where there are street lights that are broken, and or are in need of service. This question is important because typically street lighting can provide a sense of safety in the city at night, and where there are broken and/or flickering lights this can create a geography wherein the intersection of an individual committing a crime and law enforcement intervening can occur; crimes that are associated with occurring after dusk may be more likely to occur in areas where there is less lighting because it allows for them to go unseen (until they get caught). What I plan to achieve by conducting a spatial analysis on these data is to see if there is any clustering of crime during the winter (shorter days, longer nights) and the summer (longer days, shorter nights) and see if where there is clustering of crime if that coincides with a lack of functional street lighting.

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