The Relationship between Urban Crime Data and Urban Security

DOI

10.2991/icsnce-16.2016.78How to use a DOI?

Keywords

Comprehensive method; Cauchy distribution; Analytic Hier- archy Process(AHP); Logarithmic function

Abstract

In order to create a safety rating for My City and specify a measure of how safe My City is, a comprehensive method is developed. In the model, we take into account a variety metrics, and divide them into three categories: The critical matter, Police and The domestic situation. We employ Analytic Hierarchy Process(AHP) to determine the weight allocation to different metrics. In the critical matter, we consider two factors, the number of the critical matter and the critical type. In Police, we consider two factors, the number of patrols and the efforts apprehending criminals. In the efforts apprehending criminals, we employ statistical regression method to process collected data and establish a function to measure the relationship between it and the city security. In consideration of the correlation, the evaluation of Police gives a comprehensive result by weighing results returned by the two functions. In the domestic situations, two factors are considered, they are the number of the case which is related to the domestic situation and the influ- ence of cities around. Similarly to analyze these two factors, we employ the method that the second part uses. We employ partial large Cauchy distribution and the logarithmic function as the subordinate function to classify the city safety to five levels. We use the comprehensive method to obtain the result of the city safety, its3.82 . Accord- ing to the classification, My city is safe.

Copyright

© 2016, 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  - Xisen Wang
PY  - 2016/07
DA  - 2016/07
TI  - The Relationship between Urban Crime Data and Urban Security
BT  - Proceedings of the 2016 International Conference on Sensor Network and Computer Engineering
PB  - Atlantis Press
SP  - 404
EP  - 406
SN  - 2352-5401
UR  - https://doi.org/10.2991/icsnce-16.2016.78
DO  - 10.2991/icsnce-16.2016.78
ID  - Wang2016/07
ER  -