Big Data-driven Predictive Policing Innovation

DOI

10.2991/iceesd-18.2018.19How to use a DOI?

Keywords

Big data; Crime prediction; Policing reform; Predictive policing

Abstract

Traditional reactive policing encountered marginal utility difficulties in crime control, and the predictive policing driven by big data and oriented by solving problems is an important direction for future policing innovation. The big data expands the new thinking of police operation, innovates the tool of the crime prediction, and promotes multiple policing integration. Big data improves the accuracy of crime prediction, improves the effectiveness of police operation programming and develops correlation analysis and multi-angle crime control methods. Prediction policing includes the four-stage periodic working procedure including data collection, analysis, police interventions and offender behavior. It is more prominent in problem-oriented focus, rational allocation of police resources, initiative prediction of risk factors, and scientific policing operation decision.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jing Leng
AU  - Guojun Li
PY  - 2018/05
DA  - 2018/05
TI  - Big Data-driven Predictive Policing Innovation
BT  - Proceedings of the 2018 7th International Conference on Energy, Environment and Sustainable Development (ICEESD 2018)
PB  - Atlantis Press
SP  - 123
EP  - 127
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceesd-18.2018.19
DO  - 10.2991/iceesd-18.2018.19
ID  - Leng2018/05
ER  -