Abstract

Crime is a global issue that arises as a consequence of social problems in society such as poverty and densely population due to urbanization. In large cities, governments have applied technology to support crime prevention. In this paper, a mobile-based system is proposed to increase knowledge and public awareness which may reduce the risk of crimes. A context-aware system, namely, geo-fence, is used to enable virtual fences around crime hotspots. Crime hotspots are determined using crime histories and crowd-sourced data provided by citizens. As citizens enter crime hotspots, they would be alerted and provided information. Meanwhile, if they find or experience crime, they are able to report and label the location of the crime.

Highlights

  • Nowadays, poverty is a global issue that is a problem for developed and developing countries.Economic pressure has an impact on the level of security because it can lead to crime, most often street crime such as robbery, plunder, drug transactions, prostitution, acts of physical violence, and murder [1][2]

  • The issue of poverty and crime in urban areas does not stop the flow of urbanization

  • Urbanization continues to increase because large cities provide opportunities and can trigger rapid economic growth[3]

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Summary

Introduction

Poverty is a global issue that is a problem for developed and developing countries. Economic pressure has an impact on the level of security because it can lead to crime, most often street crime such as robbery, plunder, drug transactions, prostitution, acts of physical violence, and murder [1][2]. To overcome this problem, the government especially in big cities install closed-circuit television, provide 24hour call centers, and patrol police officers. The issue of poverty and crime in urban areas does not stop the flow of urbanization. Many big cities are transformed into smart cities that utilize technology to integrate information and communication technology such as mobile devices to support and improve the effectiveness and efficiency of government services

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