Directions Magazine
Hello. Login | Register

Press Releases

Home | Submit Press Release

New Analysis Method Uncovers Factors in Vehicle Burglary Rates

Bookmark and Share
Wednesday, May 21st 2014
| Dallas, TX
Read More About: crime, gis, research


New Analysis Method Uncovers Factors in Vehicle Burglary Rates

May 21, 2014, UT Dallas - By applying a new method to modeling spatial patterns of crime, University of Texas at Dallas researcher Dr. Yongwan Chun analyzed vehicle burglaries in Plano, Texas, and found factors associated with increased and decreased burglary rates.

Chun, an assistant professor of geospatial information sciences (GIS) in the School of Economic, Political and Policy Sciences, used GIS data from the Plano Police Department to analyze the 17,549 vehicle burglaries that occurred from 2004 to 2009 in the Dallas suburb.

The method Chun applied is an extension of eigenvector spatial filtering (ESF), which was originally developed by two UT Dallas GIS faculty members, Dr. Daniel Griffith and Dr. Michael Tiefelsdorf. Chun’s study was published online in Geographical Analysis in April.

“Dr. Chun’s recent article presents a refinement of a relatively new and sophisticated mathematical modeling methodology that allows effective and efficient analysis of crime data, while accounting for the geographic location and time stamp of crimes,” Griffith said. “It furnishes a practical application of this methodology to Plano car burglaries and summarizes results that can be helpful to the local community and law enforcement, as well as fellow researchers.”

Chun used ESF to determine whether there were significant links between socioeconomic and physical environments and vehicle burglaries in Plano.

The study included socioeconomic factors, such as median home value, poverty and unemployment rates, and variables that reflect social instability, such as rates of homeownership, residential mobility and house vacancy.

Because people who are at home may play the role of “guardians” over the property, Chun said, the rates of people working at home and households with young children also were considered. He also examined whether railroads or parks were nearby and the distance to a major highway.

Chun said three of his findings were expected:

  • Vehicle burglaries increased when the home vacancy rate increased.
  • Vehicle burglaries decreased when the median home value increased.
  • Vehicle burglaries decreased when distance to the highway increased.

“The distance is very interesting to us as spatial scientists,” Chun said. “One thing I can interpret is when a vehicle burglary happens, the burglar wants to get out of the site as fast as possible. If they have a close distance to the highway, it might be easier for them.”

A fourth finding — vehicle burglaries increased with increased homeownership — needs further investigation, Chun said.

“It is counterintuitive,” he said. “Usually when we have a higher rate of homeownership, we think that there is a higher level of guardianship of the area, but it shows a positive association.”

Chun hopes the new method will make it easier for fellow scholars to apply the spatial aspect into their studies.

A decade ago, it was almost impossible to collect such comprehensive data, he said, but many police departments, including Richardson and Frisco, now have GIS systems with computerized data points.

“Usually, crime analyses focus on the large cities, so we have a number of papers about crime in places such as Chicago or Dallas,” Chun said. “Suburban areas have not been investigated as much in the field, primarily because of lack of data. Fortunately, the Plano Police Department has a great, rich data set, which is collected, organized and managed using their GIS system.

“The study presents one application for that type of data that can be applied to other smaller, suburban cities.”

Bookmark and Share

Stay Connected

Twitter RSS Facebook LinkedIn Delicious Apple Devices Android Blackberry






Recent Comments

How are GIS Companies being Disrupted by other Technologies?

There has been discussion about how GIS will impact industry applications for years. But what technologies might impact GIS users and vendors? How are GIS companies being "disrupted" by other technologies?

U.S. Army Corps of Engineers’ Mapping Team: Hoping for a Picture-perfect Hurricane Season
Beyond GPS: Five Next-Generation Technologies for Positioning, Navigation and Timing (PNT)
Meet the Unknowns in the 20 Most Promising GIS Solution Providers of 2014
A Glossary of Unmanned Aerial Vehicle (UAV) Terms
Don’t Miss These Resources on Unmanned Aerial Vehicles (UAV)
Mapping Disaster: A Global Community Helps from Space
Alteryx 9.0: “Data Scientists Not Required!”
Millennium Space Seeks Your Space-enabled Big Ideas

DirectionsMag.com

About Us | Advertise | Contact Us | Web Terms & Conditions | Privacy Policy
© 2014 Directions Media. All Rights Reserved