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A Predictive Framework for Understanding Multidimensional Security Perceptions Among Students in Serbia: The Role of Institutional, Socio-Economic, and Demographic Determinants of Sustainability

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  • Vladimir M. Cvetković

    (Department of Disaster Management and Environmental Security, Faculty of Security Studies, University of Belgrade, Gospodara Vucica 50, 11040 Belgrade, Serbia
    Safety and Disaster Studies, Chair of Thermal Processing Technology, Department of Environmental and Energy Process Engineering, Technical University of Leoben, 8700 Leoben, Austria
    Scientific-Professional Society for Disaster Risk Management, Dimitrija Tucovića 121, 11040 Belgrade, Serbia)

  • Milan Lipovac

    (Department of Disaster Management and Environmental Security, Faculty of Security Studies, University of Belgrade, Gospodara Vucica 50, 11040 Belgrade, Serbia)

  • Renate Renner

    (Safety and Disaster Studies, Chair of Thermal Processing Technology, Department of Environmental and Energy Process Engineering, Technical University of Leoben, 8700 Leoben, Austria)

  • Svetlana Stanarević

    (Department of Disaster Management and Environmental Security, Faculty of Security Studies, University of Belgrade, Gospodara Vucica 50, 11040 Belgrade, Serbia)

  • Zlatko Raonić

    (Safety and Disaster Studies, Chair of Thermal Processing Technology, Department of Environmental and Energy Process Engineering, Technical University of Leoben, 8700 Leoben, Austria)

Abstract

This study investigates and forecasts multidimensional security perceptions among Serbian university students, who are a particularly engaged and vulnerable demographic in transitional societies. It examines how demographic traits, socio-economic status, and levels of institutional trust and engagement shape students’ evaluations of security in everyday life. The study examines six primary dimensions of security perception: personal safety, safety at public events and demonstrations, perceived national threats, digital security and privacy, perception of emergencies and crises, and trust in institutions and security policies. A structured online survey was administered to a sample of 406 university students selected through non-probability purposive sampling from major academic centres in Serbia, including Belgrade, Niš, Novi Sad, and Kragujevac. The questionnaire, based on a five-point Likert scale, was designed to measure levels of agreement across the six dimensions. Data were analysed using multiple regression, one-way ANOVA, Pearson’s correlation, and independent samples t -tests. All necessary statistical assumptions were met, ensuring the reliability and validity of the results. Descriptive statistics indicated moderate to moderately high overall perceived safety, with personal safety scoring the highest, followed by digital security and disaster preparedness. Lower scores were recorded for public event safety, perceived national threats, and, in particular, trust in institutional security policies. Regression analysis revealed that key predictors of perceived safety varied across dimensions: gender was a significant predictor of personal safety. At the same time, family financial status had a strong influence on perceptions of safety at public events. These findings offer valuable insights for designing targeted risk communication, inclusive policy initiatives, and institutional reforms that aim to enhance youth resilience, civic trust, and participatory security governance, ultimately contributing to long-term social sustainability.

Suggested Citation

  • Vladimir M. Cvetković & Milan Lipovac & Renate Renner & Svetlana Stanarević & Zlatko Raonić, 2025. "A Predictive Framework for Understanding Multidimensional Security Perceptions Among Students in Serbia: The Role of Institutional, Socio-Economic, and Demographic Determinants of Sustainability," Sustainability, MDPI, vol. 17(11), pages 1-50, May.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:11:p:5030-:d:1668501
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    References listed on IDEAS

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    1. Charlotte Fabiansson, 2007. "Young People’s Perception Of Being Safe – Globally & Locally," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 80(1), pages 31-49, January.
    2. Timothy L. McDaniels & Mark S. Kamlet & Gregory W. Fischer, 1992. "Risk Perception and the Value of Safety," Risk Analysis, John Wiley & Sons, vol. 12(4), pages 495-503, December.
    3. Michael Siegrist & Joseph Árvai, 2020. "Risk Perception: Reflections on 40 Years of Research," Risk Analysis, John Wiley & Sons, vol. 40(S1), pages 2191-2206, November.
    4. Cox, Andrew & Prager, Fynnwin & Rose, Adam, 2011. "Transportation security and the role of resilience: A foundation for operational metrics," Transport Policy, Elsevier, vol. 18(2), pages 307-317, March.
    5. James Rising & Marco Tedesco & Franziska Piontek & David A. Stainforth, 2022. "The missing risks of climate change," Nature, Nature, vol. 610(7933), pages 643-651, October.
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