Abstract
Accidents are mainly caused by unsafe or improper behavior. In this paper, we analyzed the spread of individual safety awareness in order to improve the overall security awareness based on cellular automate model. The individual safety awareness consists of two aspects which includes internal factors and external factors. The internal factors have to do with the effects of personal benefit, emotion and attention. External factors influence and support the spread of safety awareness within neighborhoods. First, we simulated a set of conditions and prioritized those conditions. Then we investigate individual safety awareness, in order to analyze the relationship between the increase of a high safety awareness and overall safety. Finally, combined with the behavior-based safety management system concept and the key factor above, some specific measures, such as education and increased communication with others, are put forward.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Jin, R.F., Gan, C.X., Chai, S.J.: A Cross-section study on workers safety consciousness, attitude and behavior in chemical industry. J. Ind. Health Occup. Dis. 29(2), 92–95 (2003)
Li, R.H., Meng, W.M., Peng, Y.Q., et al.: Investigation on the effect of cathode work function and exciton generation rate on the open-circuit voltage of single layer organic solar cell with Schottky contact. Acta Physica Sinica 59(3), 2126–2130 (2010)
Wang, Y.Q.: Epidemic spreading in complex networks with spreading delay based on cellular automata. Acta Physica Sinica 60(8), 080510–081056 (2011)
Jin, Z., Liu, Q.X.: Mainul: A cellular automata model with probability infection and spatial dispersion. Chin. Phys. B: English 16(5), 1267–1275 (2007)
Fuentes, M.A., Kuperman, M.N.: Cellular automata and epidemiological models with spatial dependence. Physica A Stat. Mech. Appl. 267(3–4), 471–486 (1999)
Rey, A.M.D, White, S.H., Sánchez, G.R.: A model based on cellular automata to simulate epidemic diseases. In: Cellular Automata, pp. 304–310. Springer, Heidelberg (2006)
Rey, A.M.D., White, S.H., Sánchez, G.R.: A model based on cellular automata to simulate epidemic diseases. J. Pure Appl. Math. Adv. Appl. 5(2), 125–139 (2006)
Gagliardi, H.F., Alves, D.: Small-world effect in epidemics using cellular automata. Math. Popul. Stud. 17(2), 79–90 (2010)
Liu, F., Ren, Y., Shan, X.M.: A simple cellular automata model for packet transport in the internet. Acta Physica Sinica 51(6), 1175–1180 (2002)
Kong, X., Jinshan, Z., Tunmo, J.B.: The Empirical Study of the Relationship between Safety Awareness and Safety Behavior of Chemical Enterprises Managers, Industrial Safety and Environmental Protection, February 2016
Acknowledgments
This research reported herein was supported by the NSFC of China under Grants No. 71571091 and 71771112.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Yang, M., Chen, XB. (2018). The Effects of Enterprise Staff Safety Consciousness Based on Cellular Automata Model. In: Karwowski, W., Ahram, T. (eds) Intelligent Human Systems Integration. IHSI 2018. Advances in Intelligent Systems and Computing, vol 722. Springer, Cham. https://doi.org/10.1007/978-3-319-73888-8_75
Download citation
DOI: https://doi.org/10.1007/978-3-319-73888-8_75
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-73887-1
Online ISBN: 978-3-319-73888-8
eBook Packages: EngineeringEngineering (R0)