A GIS Supported Regression Analysis of Robbery Proximity to the New Interstate - 210
Mark P. Kumler, Ph.D.
A 211 is the police code for Armed Robbery. Since the recent completion of a segment of the Interstate Highway 210, the robbery rate in the Inland Empire of Southern California has seemingly increased enough for local law enforcement personnel to dub the freeway extension “The 211”. This project is an analysis of possible relationships between freeway construction and increases in robbery rates. The client is the Community Mapping, Planning and Analysis for Safety Strategies unit of the Redlands Crime Analysis Unit. The recent extension of the Interstate 210 is the case study for this analysis. This project has two designs. One, to provide an analysis of robbery trends in the cities of Rancho Cucamonga and Fontana, California. Moreover, to provide a methodology for analyses applied to any area interested in determining if new freeway development actually had an impact in robbery rate. The main question for this local region is: has the recent opening of a transportation corridor influenced the amount of robberies near its development? The analysis method used in this project is Linear and Non-Linear Regression coupled with the Basic Unit Root Test. The project manager tested the relationship of robberies to nearby freeways. To visualize the results of the analysis, the project manager produced individual maps showing each period in the study area. The project manager also developed the methodology for an animation depicting the time series change across the study area. The visualization is important to the client due to the need to keep things simple for the broadest audience interpretability. As much as statistical testing is accurate and scientific, visualization is a far more powerful tool for conveying data to the public.
Moule, E. C. (2005). A GIS Supported Regression Analysis of Robbery Proximity to the New Interstate - 210 (Master's thesis, University of Redlands). Retrieved from https://inspire.redlands.edu/gis_gradproj/82