Deployment and Effectiveness of Emerging Technologies in Enhancing Safety and Security Across Selected Tourist Destinations in Cross River State, Nigeria.
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Abstract
This study examined the deployment and effectiveness of emerging technologies in enhancing safety and security across selected tourist destinations in Cross River State, Nigeria. Adopting a multi-sited exploratory sequential mixed-methods design, data were collected from 400 respondents using questionnaires and observational checklists, with analysis conducted through descriptive statistics and Independent Samples t-test. The findings revealed that CCTV surveillance systems are the most widely deployed technology (37.3%), followed by mobile security applications, biometric systems, and smart sensors, while drone usage remains limited. Despite moderate adoption, most technologies operate as isolated systems with limited integration and infrastructural support. Effectiveness ratings indicate that over half of respondents perceive these technologies as effective to extremely effective in preventing security threats, although notable proportions reported only moderate or low effectiveness due to operational constraints. The t-test results confirmed a statistically significant difference in perceived safety between destinations with and without emerging technologies (t = 10.94, p < 0.05), demonstrating their positive impact on tourist safety. The study concludes that while emerging technologies enhance surveillance, response efficiency, and visitor confidence, their full potential is constrained by poor integration, inadequate training, and infrastructural deficits. Strategic investment in smart, integrated systems is therefore essential for sustainable tourism security.
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References
1. Achu, A. A., Enyia, J. O., Joseph, E., Njong, C. A., Ekene, O. G., Ereh, O. P., ... & Takim, T. O. (2024). Exploring the effects of criminal activities on sustainable tourism development in Cross River State, Nigeria. GeoJournal of Tourism and Geosites, 53(2), 584–598.
2. Al Mahruqi, A., Al Abri, I., Ramayah, T., & Zaibet, L. (2025). The impact of psychological and risk factors on tourists’ loyalty toward nature-based destinations. Tourism and Hospitality, 6(4), 197.
3. Allam, P., & Oboh, L. (2023). Mapping the supply of surveillance technologies to Africa: Nigeria country report. Editor: Tony Roberts.
4. Chen, L., Zhang, Y., & Wilson, C. (2021). Artificial intelligence in security surveillance: Applications and challenges. Journal of Security Technology, 15(2), 85–102.
5. Dias, C. A. S. (2024). Smart airports: Analysing digital transformation and technological advancements in aviation (Doctoral dissertation).
6. Duporge, I. (2021). Advancing remote sensing methods to monitor wildlife (Doctoral dissertation, University of Oxford).
7. Dziurakh, Y., Kulyniak, I., Sarkisian, H., Zhygalo, I., Chepil, B., & Vaskovych, K. (2024). Intrusion detection systems for smart tourism platforms: Safeguarding food safety and user privacy. Journal of Internet Services and Information Security, 14(4), 484–498.
8. Ebrahim, R. (2021). Development of a cost-effective method to implement traffic management principles to a small city environment (Doctoral dissertation, Stellenbosch University).
9. Ghaderi, Z., Beal, L., Hall, C. M., Zaman, M., Ahmad Rather, R., & Mat Som, A. P. (2025). Cybersecurity and smart tourist destinations resilience. Tourism Recreation Research, 50(7), 1622–1638.
10. Gretzel, U., Sigala, M., Xiang, Z., & Koo, C. (2020). Smart tourism: Foundations and developments. Electronic Markets, 30(3), 345–358.
11. Grigoriadis, P., Salepaki, A., Angelou, I., & Kourkouridis, D. (2025). Risk and resilience in tourism: How political instability and social conditions influence destination choices. Tourism and Hospitality, 6(2), 83.
12. Hassan, O. (2025). Aviation security within the context of national security in Nigeria: A critical assessment. Available at SSRN 5320056.
13. Idrus, S. H., Yusuf, M., Rasudu, N. A., & Rijal, M. (2025). Evaluation of public administration systems in managing smart tourism destinations using technology. Journal of the American Institute, 2(2), 169–179.
14. Jain, A. K., Ross, A., & Nandakumar, K. (2019). Introduction to biometrics. Springer Series on Biometrics, 2(1), 1–45.
15. Li, J., Xu, L., Tang, L., Wang, S., & Li, L. (2022). Big data in tourism security: Applications and implications. Tourism Management, 88, 104402.
16. Ma, S. (2024). Enhancing tourists' satisfaction: Leveraging artificial intelligence in the tourism sector. Pacific International Journal, 7(3), 89–98.
17. Rahaman, M. A., Amin, S. N., Rahman, M. A., & Amin, M. N. (2025). Security concerns, public perceptions and safety initiatives at tourist destinations in Bangladesh: Effective tourist police interventions for sustainable tourism. Sustainable Futures, 101004.
18. Rostami, S., & Faghani, R. (2025). Tourism law and crime prevention measures in the tourism industry. Interdisciplinary Studies in Society, Law, and Politics, 4(2), 178–188.
19. Sung, C. S., & Park, J. Y. (2021). Design of an intelligent video surveillance system for crime prevention: Applying deep learning technology. Multimedia Tools and Applications, 80(26), 34297–34309.
20. Tiwari, V., Mishra, A., & Tiwari, S. (2024). Role of data safety and perceived privacy for acceptance of IoT-enabled technologies at smart tourism destinations. Current Issues in Tourism, 27(19), 3079–3094.
21. Ugwuoke, C. O., Ajah, B. O., Akor, L., Ameh, S. O., Lanshima, C. A., Ngwu, E. C., ... & Nwokedi, M. (2023). Violent crimes and insecurity on Nigerian highways: A tale of travelers’ trauma, nightmares and state slumber. Heliyon, 9(10).