In order to join virtual sessions, you must be registered and logged-in(Were you registered for the in-person meeting in Denver? if yes, just log in.) 
Note: All session times are in Mountain Daylight Time.

Understanding the relationship between crime and demographics in NYC neighbourhoods

Authors: Alexander Maas*, Tohoku University
Topics: Geographic Information Science and Systems, United States, Spatial Analysis & Modeling
Keywords: Crime, Demographic change, Spatial 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 analyzing how changing neighborhood demographics affect the frequency and type of crimes committed within those neighborhoods. This knowledge could be useful as it would allow local governments and councils to understand and plan for a changing crime landscape as neighborhoods mature or transition as the population of the area adjust to current economic conditions. For example, areas with lower incomes or a larger number of unemployed individuals are often associated with a higher frequency of crime, especially violent crimes. However, when an area can be classified as low income varies by region and is unclear, as is how the change occurs. A main goal of this research is being able to find leading indicators which decline over time prior to the onset of increased crime. If these leading indicators can be detected early on and addressed adequately, the decline of the neighborhood may be halted or reversed. The American Community Survey contains a range of demographic data useful for this analysis. Being able to observe how this data changes over time in tandem with the crime profile of the neighborhoods should hopefully provide insights into how policies can be implemented to prevent or slow an area’s decline.

Abstract Information

This abstract is already part of a session. View the session here.

To access contact information login