Patterns And Rates Of Crime Evolution In Mexico
Author(s)
D. E. Santos-Reyes & J. R. Santos-Reyes
Abstract
Mexicans are fearful and concerned about the waves of crime that have
permeated the fabric of their cities and even that of small villages. In order to
understand the growth of crime, institutions need to answer a key question about
the rate of change of crime: How does crime evolve through time? Both
academia and the public sector have paid significant attention to crime issues
over the last few years. Existing approaches to crime seem to view it as an
isolated event and very little attention has been given to the study of the
behaviour of crime through time. This research project uses a generalised logistic
model and nonlinear regression in order to develop an understanding of the
dynamics of crime in Mexico. It seems that crime performance is an orderly
diffusion process. The patterns of temporal diffusion of crime seem to grow
slowly at the beginning, followed by an accelerating and then decelerating
growth, culminating in saturation or decline. It is hoped that this sheds some
light on a better understanding of the rate of crime change so that improved
approaches can be formulated for preventing and controlling crime.
Keywords: crime, S-curve, diffusion, systems, non-linear regression.
1 Introduction
There are numerous studies, which provide evidence that Mexicans are fearful
and concerned about the continuously changing rate of crime [1–3]. The
increasing number of crimes of all kinds has permeated the fabric of their cities
Keywords
crime, S-curve, diffusion, systems, non-linear regression.
Related Book
Other papers in this volume
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