A Matter of Perception: An Analysis of Factors Influencing Perceived Crime in Selected U.S. Cities

Erick Jiang Co-Author
Duke University
 
Ziyao Cui Co-Author
Duke University
 
Nicholas Sortisio Co-Author
Duke University
 
Cynthia Rudin Co-Author
Duke University
 
Eric Chen Co-Author
Duke University
 
Haiyan Wang First Author
 
Haiyan Wang Presenting Author
 
Sunday, Aug 4: 2:05 PM - 2:10 PM
3239 
Contributed Speed 
Oregon Convention Center 
Recently, there has been a trend towards integrating advanced technologies into law enforcement strategies, which has dramatically improved police departments' efficacies. Our study aims to build upon this trend, using machine learning to analyze national and local datasets in hopes of exploring factors that influence public perceptions of crime, attitudes towards law enforcement and the criminal justice system, and average crime rates. On the national scale, we intend to use datasets obtained from the FBI's Crime Data Explorer, the General Social Survey, and polling results from sources including Gallup and the Pew Research Center to explore the relationship between variables of interest and crime. Then, we will focus on several large cities with high crime rates, using geospatial crime data to begin trying to determine key factors in crime rates and perceived crime. We hope that our analysis will shed light onto previously unconsidered variables, such as the presence of public parks. Our findings will provide insights that researchers and policymakers can utilize to create informed public safety legislation.

Main Sponsor

Section on Statistical Computing