Hostname: page-component-76fb5796d-r6qrq Total loading time: 0 Render date: 2024-04-25T15:13:06.616Z Has data issue: false hasContentIssue false

Role of technology in combating social crimes: A modeling study

Published online by Cambridge University Press:  22 February 2013

J. B. SHUKLA
Affiliation:
Bhabha Group of Institutions, Kanpur (Rural) 209204, Uttar Pradesh, India email: jbs@iitk.ac.in
ASHISH GOYAL
Affiliation:
The LNMIIT, Jaipur 302031, Rajasthan, India email: agoyal.06@lnmiit.ac.in, kapil.06@lnmiit.ac.in, harsh.kushwah@gmail.com
KAPIL AGRAWAL
Affiliation:
The LNMIIT, Jaipur 302031, Rajasthan, India email: agoyal.06@lnmiit.ac.in, kapil.06@lnmiit.ac.in, harsh.kushwah@gmail.com
HARSH KUSHWAH
Affiliation:
The LNMIIT, Jaipur 302031, Rajasthan, India email: agoyal.06@lnmiit.ac.in, kapil.06@lnmiit.ac.in, harsh.kushwah@gmail.com
AJAY SHUKLA
Affiliation:
C-MEND, Kanpur 208017, Uttar Pradesh, India email: ajaishukla01@gmail.com

Abstract

In this paper, a non-linear mathematical model is proposed and analysed to study the role of technology in combating social crimes in a dynamic population by considering immigration and emigration rates of susceptible population and criminals. The problem is modelled by considering five interacting variables, namely the density of susceptible population, the density of criminals, the density of removed (isolated) criminals, the density of crime burden and the level of technology used to control crime. The proposed model is analysed by using the stability theory of differential equation and simulation. The model analysis shows that the crime burden decreases considerably as the level of technology increases. It is noted that the crime in a society can be controlled almost completely if criminals from the general population are removed by intensive use of technology.

Type
Papers
Copyright
Copyright © Cambridge University Press 2013 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

[1]Ahmed, U. N. & Rahim, A. M. (1999) A dynamic model of crime control and policy evaluation. Math. Probl. En. 4, 489504.Google Scholar
[2]Anderson, D. A. (1999) The aggregate burden of crime. J. L. & Econ. 42 (2), 611642.CrossRefGoogle Scholar
[3]Backman, O. & Edling, C. (1999) Mathematics matters: On the absence of mathematical models in quantitative sociology. Acta Sociol. 42, 6978.Google Scholar
[4]Becker, G. S. (1968) Crime and punishment: An economic approach. J. Polit. Economy 76 (2), 169217.Google Scholar
[5]Bromby, M. (2006) Security against crime: Technologies for detecting and preventing crime. Int'l. Rev. L. Comp. & Tech. 20, 15.CrossRefGoogle Scholar
[6]Campbell, M. & Ormerod, P. (1997) Social Interaction and the Dynamics of Crime, Volterra Consulting, London.Google Scholar
[7]Chiu, W. H. & Madden, P. (1998) Burglary and income inequality. J. Public Econ. 69 (1), 123141.CrossRefGoogle Scholar
[8]Cote, S. (2002) Criminological Theories: Bridging the Past to the Future, Sage, Thousand Oaks, CA.Google Scholar
[9]Curtis, John P., Smith, Frank T. & Ye, Xiang (2010) Modelling Burglaries in Streets, Mathematics in Industry series, Vol. 15 (3), pp. 777783.CrossRefGoogle Scholar
[10]Deutsch, J. S. & Malmborg, J. C. (1985) A dynamic model to forecast incapacitation and deterrence effects. Appl. Math. Model. 9, 5361.Google Scholar
[11]Dijk, J. V., Manchin, R., Kesteren, J. V., Nevala, S. & Hideg, G. (2005) The Burden of crime in the EU. A comparative analysis of the European crime and safety survey [online]. URL: http://www.europeansafetyobservatory.eu/downloads/EUICS - The Burden of Crime in the EU.pdf. Accessed on 17 August 2011.Google Scholar
[12]Edling, C. R. (2002) Mathematics in sociology. Annu. Rev. Sociol. 28, 197220.Google Scholar
[13]Ehrlich, I. (1981) On the usefulness of controlling individuals: An economic analysis of rehabilitation, incapacitation, and deterrence. Amer. Econ. Rev. 71, 307322.Google Scholar
[14]Glaeser, E. L., Sacerdote, B. & Scheinkman, J. A. (1996) Crime and social interactions. Q. J. Econ. 111 (2), 507548.Google Scholar
[15]Hagan, E. F. (2010) Introduction to Criminology: Theories, Methods, and Criminal Behavior, Sage, Thousand Oaks, CA.Google Scholar
[16]Kanazawa, S. & Still, M. C. (2000) Why men commit crimes and why they desist. Sociol. Theor. 18, 434447.CrossRefGoogle Scholar
[17]Kelly, M. (2000) Inequality and crime. Rev. Econ. Stat. 82 (4), 530539.CrossRefGoogle Scholar
[18]Martin, P. & Midgley, E. (2010) Immigration in America 2010. Population Bulletin Update [online]. URL: http://www.prb.org. Accessed on 21 December 2010.Google Scholar
[19]Nuno, C. J., Herrero, A. M. & Primicerio, M. (2008) A triangle model of criminality. Phys. Stat. Mech. Appl. 387 (12), 29262936.CrossRefGoogle Scholar
[20]Ormerod, P. (2005) Crime, Economic Incentives and Social Networks, The Institute of Economic Affairs, London.Google Scholar
[21]Ormerod, P., Mounfield, C. & Smith, L. (2001) Non-Linear Modelling of Burglary and Violent Crime in the UK, Volterra Consulting, London.Google Scholar
[22]Orrenius, M. P. & Coronado, R. (2005) The Effect of Illegal Immigration and Border Enforcement on Crime Rates along the U.S.–Mexico Border, The Centre for Comparative Immigration Studies, San Diego, CA.Google Scholar
[23]Palmary, I. (2001) Social Crime Prevention in South Africa's Major Cities, Centre for the Study of Violence and Reconciliation, Johannesburg, South Africa.Google Scholar
[24]Pitcher, A. B. (2010) Adding police to a mathematical model of burglary. Euro. J. Appl. Math. 21, 401419.Google Scholar
[25]Zhao, H., Feng, Z. & Chavez, C. C. (2002), The Dynamics of Poverty and Crime. In preprint MTBI-02-08M. 9 (3), 311327. (See http://my.publications.li/st/kindleye/Zhao%3APreprintMtbi0208M%3A2002 for bibtex)Google Scholar