• Skip to primary navigation
  • Skip to main content

CINA.

  • About
    • Mission
    • People
  • Research
    • Research
    • Projects
    • RFPs
  • Education
    • Resources
    • Internships
  • Publications
    • Newsletter Archive
    • Director’s Blog
  • News & Events
    • News
    • CINA Director’s Blog
    • Digital Archive
    • Events
    • Work with Us
  • Contact
  • Search Toggle
  • Skip to content

Innovative Spatiotemporal Pattern Detection: Examining Changes in Crime Hot Spots Across 6 U.S. Cities

Jun 15, 2022

  • News

Prior studies demonstrate that crime is highly concentrated at relatively few micro-places (e.g., addresses, intersections, street segments), or hot spots. For example, a seminal study of crime in Minneapolis found that 3.3% of all addresses and intersections generated over half of all calls for service to the police, indicating considerable variation in crime within neighborhoods, regardless of variation in crime across neighborhoods.

Building on past research examining hot spot formation and change, this project examined dynamic patterns of criminal activity using innovative spatial temporal pattern detection. Researchers at the University of Texas San Antonio and the University of Washington examined changes in crime at the street segment level from 2008 – 2018 across six major U.S. cities – Los Angeles, Chicago, Seattle, San Antonio, New York City, and Philadelphia.

The researchers accessed multiple diverse complementary datasets, including data on property characteristics and development activity, which they hypothesized could help account for the correlation between place and crime. Findings reveal that indicators of place-based improvements – that is, private investment in the form of building permits and local regulation in the form of municipal code enforcement – are associated with reductions in crime on street segments over time. Moreover, building permits and code enforcement at nearby street segments were also related to decreases in crime, indicating micro-place improvements may yield a degree of spatial diffusion of benefits. Additional analyses exploring effects for violence, property, drug, and other offenses reveal similar findings, though there are some crime type-specific effects.

Ongoing work is augmenting and leveraging the existing longitudinal datasets to explore potential interaction effects to inform how to leverage small scale improvements and target place-based interventions for greater returns in crime reduction. As the federal government and elected officials consider major investments in infrastructure and community redevelopment, this research offers DHS an opportunity to provide guidance to its public and private partners on how to strategically invest in communities to yield the greatest public safety benefit and spur additional private investment for sustained economic growth.

Investigators:

  • Marie Ouellet
  • Arthur Acolin
  • Rebecca Walter

Research Areas:

  • Dynamic patterns of criminal activity
  • Spatiotemporal patterns

*The programs and services offered by George Mason University are open to all who seek them. George Mason does not discriminate on the basis of race, color, religion, ethnic national origin (including shared ancestry and/or ethnic characteristics), sex, disability, military status (including veteran status), sexual orientation, gender identity, gender expression, age, marital status, pregnancy status, genetic information, or any other characteristic protected by law. After an initial review of its policies and practices, the university affirms its commitment to meet all federal mandates as articulated in federal law, as well as recent executive orders and federal agency directives.

CINA Now

Events

All Events

Publications

The Key to Deobfuscation is Pattern of Life, not Overcoming Encryption

Published: Oct 4, 2025

The Organized Activities of Ransomware Groups: A Social network Approach

Published: Mar 14, 2025
All Publications

News

CINA Distinguished Speaker Series with Colton Seale: Interviewer Mindset

CINA  |   April 3, 2025  |   Posted In:
  • Digital Archive
  • Uncategorized

CINA  |   March 6, 2025  |   Posted In:
  • Uncategorized
All News

Science and Technology Directorate’s Office of University Programs
CINA at George Mason University Logo
Copyright © 2025 All Rights Reserved | CINA Is A Department of Homeland Security Center of Excellence led by George Mason University
  • Facebook
  • Twitter
  • Instagram
  • Linkedin
  • YouTube