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<p>Campus safety is related to the healthy growth of students, and the research focus of this paper is to explore the impact of Internet of Things (IoT) technology on campus safety prevention and control. Based on the correlation between ISM and DEMATEL methods, this paper constitutes an integrated DEMATEL-ISM model by using neighbor matrix and reachable matrix to transform each other. It constructs a risk factor model for campus security prevention and control evaluation based on Internet of Things technology according to the modeling steps after soliciting experts’ suggestions through questionnaires. Combined with the SEM model to estimate students’ campus risk identification ability, the path index was used to construct the college security awareness score index to explore the relationship between latent variables (influencing factors) and observed variables (risk identification ability). The results show that every 1% increase in the safety climate of the social environment will lead to the rise of 0.58%, 0.20%, and 0.52% in the on-campus environment factor, the campus safety management team building factor, and the students’ literacy factor, respectively. A 0.17% increase in the on-campus environment will occur with every 1% increase in students’ literacy in higher education. This study contributes to a deeper understanding of the role of IoT technology in enhancing campus security prevention and control. It can provide deep research references for subsequent risk grading evaluation, risk warning prevention and control, and supervision in campus risk management.</p>
</abstract>

Campus safety is related to the healthy growth of students, and the research focus of this paper is to explore the impact of Internet of Things (IoT) technology on campus safety prevention and control. Based on the correlation between ISM and DEMATEL methods, this paper constitutes an integrated DEMATEL-ISM model by using neighbor matrix and reachable matrix to transform each other. It constructs a risk factor model for campus security prevention and control evaluation based on Internet of Things technology according to the modeling steps after soliciting experts’ suggestions through questionnaires. Combined with the SEM model to estimate students’ campus risk identification ability, the path index was used to construct the college security awareness score index to explore the relationship between latent variables (influencing factors) and observed variables (risk identification ability). The results show that every 1% increase in the safety climate of the social environment will lead to the rise of 0.58%, 0.20%, and 0.52% in the on-campus environment factor, the campus safety management team building factor, and the students’ literacy factor, respectively. A 0.17% increase in the on-campus environment will occur with every 1% increase in students’ literacy in higher education. This study contributes to a deeper understanding of the role of IoT technology in enhancing campus security prevention and control. It can provide deep research references for subsequent risk grading evaluation, risk warning prevention and control, and supervision in campus risk management.

Research on the Construction of Campus Security Prevention and Control System Based on Internet of Things Technology

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Campus safety is related to the healthy growth of students, and the research focus of this paper is to explore the impact of Internet of Things (IoT)...

Research on the Construction of Campus Security Prevention and Control System Based on Internet of Things Technology

Pubblicato online: 03 mag 2024

Pagine: -

Ricevuto: 30 mar 2024

Accettato: 16 apr 2024

DOI: https://doi.org/10.2478/amns-2024-0948

Parole chiave
Risk identification, SEM model, DEMATEL-ISM model, Adjacency matrix, Reachability matrix

© 2024 Yuanru Peng et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on the Construction of Campus Security Prevention and Control System Based on Internet of Things Technology

Pubblicato online: 03 mag 2024

Pagine: -

Ricevuto: 30 mar 2024

Accettato: 16 apr 2024

DOI: https://doi.org/10.2478/amns-2024-0948

Parole chiaveRisk identification, SEM model, DEMATEL-ISM model, Adjacency matrix, Reachability matrix

© 2024 Yuanru Peng et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Parole chiave
Risk identification, SEM model, DEMATEL-ISM model, Adjacency matrix, Reachability matrix