Research on Urban Public Safety Management Method Based on Bayesian Network

DOI

10.2991/978-94-6463-056-5_70How to use a DOI?

Keywords

City; Public Safety management; Bayesian network; Evolution trend

Abstract

With the development of economy and the improvement of living standards, there are many problems in urban public safety management, and the hidden danger of fire is one of the prominent problems. Aiming at this problem, this paper uses Bayesian network to establish a prediction model of urban public security risk evolution trend, and applies the model to real life to verify that it has the characteristics of accurately predicting risk evolution trend, which can be used in daily real life. At the same time, using the methods of literature review, case study and expert interview, this paper analyzes the situational factors that affect urban risk from the aspects of disaster causing factors, disaster bearing carriers, disaster pregnant environment and disaster response in the development of public security management.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Xiao Chen
AU  - Xiaomao Wan
AU  - Wenya Wu
PY  - 2022
DA  - 2022/12/29
TI  - Research on Urban Public Safety Management Method Based on Bayesian Network
BT  - Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022)
PB  - Atlantis Press
SP  - 479
EP  - 482
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-056-5_70
DO  - 10.2991/978-94-6463-056-5_70
ID  - Chen2022
ER  -