222356 Association between urban street noise and neighborhood crime: A pilot study

Monday, November 8, 2010

Tara P. McAlexander, BA , Mailman School of Public Health, Columbia University, New York, NY
Richard L. Neitzel, MS, CIH, PhD , Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA
Robyn R.M. Gershon, DrPH , Department of Sociomedical Sciences, Columbia University Mailman School of Public Health, New York, NY
Study Purpose: Chronic noise exposure can adversely impact quality of life. Neighborhood crime also adversely impacts quality of life and is related to average income. However, the extent to which street-level noise influences neighborhood crime in an urban setting is unknown. We conducted a pilot study to determine the influence of average income on the spatial correlation between street-level noise and neighborhood crime rates in New York City. Methods: 60 street noise samples were collected throughout Manhattan using a Q-300 noise dosimeter by Quest Diagnostics. These noise samples were georeferenced and imported into an ArcGIS database. Sample points were interpolated using a noise-decay constant to create a “noise map” for Manhattan. Average income and crime rate data for New York City from the U.S. Census Bureau provided two separate layer maps. These three layer maps will analyzed relative to their geographic coordinates, and three correlation coefficients will be calculated to determine the relationship between each of the following: street-level noise and crime rates, street-level noise and average income, and crime rates and average income. Results: We expect to find high spatial correlations between street-level noise, crime rates, and average income. The correlation between income and noise will help us to understand the relationship between street-level noise and crime rates. Conclusions: This study presents an approach to understanding the geographic and economic influences on the relationship between street-level noise and crime in an urban setting.

Learning Areas:
Environmental health sciences
Public health or related research

Learning Objectives:
Assess the geographic relationship between street-level noise and neighborhood crime in an urban environment.

Keywords: Urban Health, Geographic Information Systems

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I am qualified to present because I have worked in public health research at the Mailman School of Public Health on a number of interesting projects, including a risk assessment of home health care workers, an educational intervention project with emergency medical services personnel, recruitment for a pandemic preparedness study in the death care industry, and data collection for a study on the risk of exposure to excessive levels of noise associated with mass transit. Additionally, I worked on a pilot study of the environmental influences of stress at the University of Pennsylvania School of Medicine. I have been actively involved in all aspects of the current study.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.