Integrated expert model for risk assessment and ensuring the safety of tourist trips: economic and technological aspects

DOI: https://doi.org/10.3846/tede.2025.23881

Abstract

This study aims to develop an integrated expert model for assessing and ensuring the safety of tourist trips, with a particular emphasis on the economic and technological aspects. The model adopts a multi-level approach, spanning from individual perceptions of safety during travel to national assessments of regional tourism security. The economic factors, such as the financial implications of safety measures and their impact on regional tourism development, play a central role in this approach. The methodological foundation includes the theory of fuzzy sets and fuzzy logic, expert evaluations, and knowledge-based intelligent analysis. For the first time, we received: an information model for assessing the safety level of a tourist trip; a fuzzy method for determining the aggregated term risk assessment of one’s safety of a tourist trip; an expert method of assessing the level of the sense of security of the region on the part of the participants of the tourist movement; a hybrid method of determining the degree of risk to the safety of a tourist trip. The model not only provides a quantitative assessment but also highlights the safety risks associated with tourist trips, thereby enabling regional analyses that support decision-making aimed at ensuring tourism safety through both economic and technological means solutions.

Keywords:

integrated expert systems, economic aspect, economic impact, cost-effectiveness, intellectual analysis of knowledge, fuzzy modeling, economic risks, regional tourism

How to Cite

Gavurova, B., & Polishchuk, V. (2025). Integrated expert model for risk assessment and ensuring the safety of tourist trips: economic and technological aspects. Technological and Economic Development of Economy, 31(3), 863–891. https://doi.org/10.3846/tede.2025.23881

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June 5, 2025
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References

Agarwal, S., Page, S. J., & Mawby, R. (2021). Tourist security, terrorism risk management and tourist safety. Annals of Tourism Research, 89, Article 103207. https://doi.org/10.1016/j.annals.2021.103207

Aliperti, G., & Cruz, A. M. (2019). Investigating tourists‘ risk information processing. Annals of Tourism Research, 79, Article 102803. https://doi.org/10.1016/j.annals.2019.102803

Balli, F., Uddin, G. S., & Shahzad, S. J. H. (2019). Geopolitical risk and tourism demand in emerging economies. Tourism Economics, 25(6), 997–1005. https://doi.org/10.1177/1354816619831824

Caber, M., González-Rodríguez, M. R., Albayrak, T., & Simonetti, B. (2020). Does perceived risk really matter in travel behaviour? Journal of Vacation Marketing, 26(3), 334–353. https://doi.org/10.1177/1356766720927762

Carballo, R. R., León, C. J., & Carballo, M. M. (2017). The perception of risk by international travellers. Worldwide Hospitality and Tourism Themes, 9(5), 534–542. https://doi.org/10.1108/whatt-07-2017-0032

Cui, F., Liu, Y., Chang, Y., Duan, J., & Li, J. (2016). An overview of tourism risk perception. Natural Hazards, 82, 643–658. https://doi.org/10.1007/s11069-016-2208-1

Data. (2023a). Data from 2,343 participants of the tourist movement to evaluate the predicted behavior of tourist movement participants in relation to repeated visits to the region in the countries Visegrad Group. Retreived February 10, 2023, from https://docs.google.com/spreadsheets/d/1U6cqQvCj04XiZP_4m3pq-OL1BWnbBPIj/edit?usp=share_link&ouid=111497346858387909549&rtpof=true&sd=true

Data. (2023b). Data from 2,343 participants of the tourist movement to assess the safety risks of tourist trips in the countries of the Visegrad Group. Retrieved December 01, 2024, from https://docs.google.com/spreadsheets/d/1cYMepE-VtOWSRzNKbOAkDkGpMaBgQ60R/edit?usp=sharing&ouid=111497346858387909549&rtpof=true&sd=true

Dávila-Lamas, A. D., Carbajal-Hernández, J. J., Sánchez-Fernández, L. P., Niebla-Zatarain, V. B., & Hoil-Rosas, C. A. (2022). Assessment of coastal locations safety using a fuzzy analytical hierarchy process-based model. Sustainability, 14(10), Article 5972. https://doi.org/10.3390/su14105972

Dzemydienė, D., & Ragab, M. H. E. A. (2020, May 7–8). Assessment of influence of management transformations and risk for tourism business. In Proceedings of the 11th International Scientific Conference “Business and Management 2020” (pp. 1–7). Vilnius, Lithuania. VILNIUS TECH. https://doi.org/10.3846/bm.2020.668

Faraji Sabokbar, H., Ayashi, A., Hosseini, A., Banaitis, A., Banaitienė, N., & Ayashi, R. (2016). Risk assessment in tourism system using a fuzzy set and dominance-based rough set. Technological and Economic Development of Economy, 22(4), 554–573. https://doi.org/10.3846/20294913.2016.1198840

Fletcher, J., & Morakabati, Y. (2008). Tourism activity, terrorism and political instability within the Commonwealth: The cases of Fiji and Kenya. International Journal of Tourism Research, 10(6), 537–556. https://doi.org/10.1002/jtr.699

Fu, H.-H., & Tzeng, S.-Y. (2016). Applying fuzzy multiple criteria decision making approach to establish safety-management system for hot spring hotels. Asia Pacific Journal of Tourism Research, 21(12), 1343–1356. https://doi.org/10.1080/10941665.2016.1175487

Garg, A. (2015). Travel risks vs tourist decision making: A tourist perspective. International Journal of Hospitality & Tourism Systems, 8(1), 1–9. https://doi.org/10.21863/ijhts/2015.8.1.004

Ghosh, B. K., & Batabyal, D. (2022). Risk perception and travel behavior of urban residents in a densely populated region of East India amidst (COVID-19) pandemic. Tourism Culture & Communication, 23(2–3), 193–205. https://doi.org/10.3727/109830422x16600594683364

Golets, A., Farias, J., Pilati, R. Costa, H. (2023). COVID-19 pandemic and tourism: The impact of health risk perception and intolerance of uncertainty on travel intentions. Current Psychology, 42, 2500–2513. https://doi.org/10.1007/s12144-021-02282-6

Guaita Martinez, J. M., Martín Martín, J. M., Salinas Fernandez, J. A., & Ribeiro Soriano, D. E. (2023). Tourist accommodation, consumption and platforms. International Journal of Consumer Studies, 47(3), 1011–1022. https://doi.org/10.1111/ijcs.12881

Guo, W. (2021). Safety risk assessment of tourism management system based on PSO-BP neural network. Computational Intelligence and Neuroscience, 1, Article 1980037. https://doi.org/10.1155/2021/1980037 (Retraction published 2023, Computational Intelligence and Neuroscience, 9828753)

Hajibaba, H., Boztug, Y. & Dolnicar, S. (2016). Preventing tourists from canceling in times of crises. Annals of Tourism Research, 60, 48–62. https://doi.org/10.1016/j.annals.2016.06.003

Hasan, M. K., Ismail, A. R., & Islam, M. F. (2017). Tourist risk perceptions and revisit intention: A critical review of literature. Cogent Business & Management, 4(1), Article 1412874. https://doi.org/10.1080/23311975.2017.1412874

Hsu, T.-H., & Lin, L.-Z. (2006). Using fuzzy set theoretic techniques to analyze travel risk: An empirical study. Tourism Management, 27(5), 968–981. https://doi.org/10.1016/j.tourman.2005.10.022

Hosseini, A., Pourahmad, A., Ayashi, A., Tzeng, G.-H., Banaitis, A., & Pourahmad, A. (2021). Improving the urban heritage based on a tourism risk assessment using a hybrid fuzzy MADM method: The case study of Tehran’s central district. Journal of Multi‐Criteria Decision Analysis, 28(5–6), 248–268. https://doi.org/10.1002/mcda.1746

Chien, P. M., Sharifpour, M., Ritchie, B. W., & Watson, B. (2017). Travelers’ health risk perceptions and protective behavior: A psychological approach. Journal of Travel Research, 56(6), 744–759. https://doi.org/10.1177/0047287516665479

Kanga, S., Sharma, L. K., Pandey, P. C., Nathawat, M. S., & Sharma, S. K. (2013). Forest fire modeling to evaluate potential hazard to tourism sites using geospatial approach. Journal of Geomatics, 7(1), 93–99.

Karl, M. (2018). Risk and uncertainty in travel decision-making: Tourist and destination perspective. Journal of Travel Research, 57(1), 129–146. https://doi.org/10.1177/0047287516678337

Karl, M., & Schmude, J. (2017). Understanding the role of risk (perception) in destination choice: A literature review and synthesis. Tourism: An International Interdisciplinary Journal, 65(2), 138–155.

Lee, C.-C., Olasehinde‐Williams, G., & Akadiri, S. S. (2021). Geopolitical risk and tourism: Evidence from dynamic heterogeneous panel models. International Journal of Tourism Research, 23(1), 26–38. https://doi.org/10.1002/jtr.2389

Lin, L.-Z., & Hsu, T.-H. (2013). The analysis of risk perception with fuzzy means-end approach. Quality & Quantity, 47, 713–734. https://doi.org/10.1007/s11135-011-9540-z

Muñoz-Mazón, A., Orea-Giner, A., Fernandez Munoz, J. J., Santiago, C., & Fuentes-Moraleda, L. (2021). Risk perception before travelling: Solutions for consumers with vulnerabilities. Journal of Services Marketing, 35(6), 791–806.

Nagaj, R., & Žuromskaitė, B. (2020). Security measures as a factor in the competitiveness of accommodation facilities. Journal of Risk and Financial Management, 13(5), Article 99. https://doi.org/10.3390/jrfm13050099

Oshriyeh, O., Ghaffari, M., & Nematpour, M. (2022). Lines in the sand: The perceived risks of traveling to a destination and its influence on tourist information seeking behavior. International Journal of Tourism Cities, 8(4), 965–982. https://doi.org/10.1108/ijtc-07-2021-0138

Osland, G. E., Mackoy, R., & McCormick, M. (2017). Perceptions of personal risk in tourists’ destination choices: Nature tours in Mexico. European Journal of Tourism, Hospitality and Recreation, 8(1), 38–50. https://doi.org/10.1515/ejthr-2017-0002

Paudel, B., & Hossain, M. A. (2006). Fuzzy based decision support system for e-tourism investment risk analysis. DVD Journal, Article 13147378.

Roy, J., Sharma, K. H., Kar, S., Zavadskas, E. K., & Šaparauskas, J. (2019). An extended COPRAS model for multi-criteria decision-making problems and its application in web-based hotel evaluation and selection. Economic Research – Ekonomska Istraživanja, 32(1), 219–253. https://doi.org/10.1080/1331677x.2018.1543054

Quan, L., Al-Ansi, A., & Han, H. (2022). Assessing customer financial risk perception and attitude in the hotel industry: Exploring the role of protective measures against COVID-19. International Journal of Hospitality Management, 101, Article 103123. https://doi.org/10.1016/j.ijhm.2021.103123

Ranjan Debata, B., Sree, K., Patnaik, B., & Sankar Mahapatra, S. (2013). Evaluating medical tourism enablers with interpretive structural modeling. Benchmarking: An International Journal, 20(6), 716–743. https://doi.org/10.1108/BIJ-10-2011-0079

Reisinger, Y., & Mavondo, F. (2005). Travel anxiety and intentions to travel internationally: Implications of travel risk perception. Journal of Travel Research, 43(3), 212–225. https://doi.org/10.1177/0047287504272017

Saura, J. R., Palacios-Marques, D., & Ribeiro-Soriano, D. (2023). Online visitor’s reviews and their influence on sustainable tourism businesses: An applied analysis of user – generated content. Transformations in Business & Economics, 22(2), 124–143.

Seabra, C., Dolnicar, S., Abrantes, J. L., & Kastenholz, E. (2013). Heterogeneity in risk and safety perceptions of international tourists. Tourism Management, 36, 502–510. https://doi.org/10.1016/j.tourman.2012.09.008

Sharifpour, M., Walters, G., Ritchie, B. W., & Winter, C. (2014). Investigating the role of prior knowledge in tourist decision making: A structural equation model of risk perceptions and information search. Journal of Travel Research, 53(3), 307–322. https://doi.org/10.1177/0047287513500390

Simpson, P. M., & Siguaw, J. A. (2008). Perceived travel risks: The traveller perspective and manageability. International Journal of Tourism Research, 10(4), 315–327. https://doi.org/10.1002/jtr.664

Sohn, H.-K., Lee, T. J., & Yoon, Y.-S. (2016). Relationship between perceived risk, evaluation, satisfaction, and behavioral intention: A case of local-festival visitors. Journal of Travel & Tourism Marketing, 33(1), 28–45. https://doi.org/10.1080/10548408.2015.1024912

Šagovnović, I., & Kovačić, S. (2021). Influence of tourists’ sociodemographic characteristics on their perception of destination personality and emotional experience of a city break destination. International Journal of Tourism Cities, 7(1), 200–223. https://doi.org/10.1108/ijtc-05-2020-0105

Škare, M., Soriano, D. R., & Porada-Rochoń, M. (2021). Impact of COVID-19 on the travel and tourism industry. Technological Forecasting and Social Change, 163, Article 120469. https://doi.org/10.1016/j.techfore.2020.120469

Tasci, A. D. A., & Boylu, Y. (2010). Cultural comparison of tourists’ safety perception in relation to trip satisfaction. International Journal of Tourism Research, 12(2), 179–192. https://doi.org/10.1002/jtr.745

Vena-Oya, J., Castañeda-García, J. A., & Rodríguez-Molina, M. Á. (2022). Forecasting a post-COVID-19 economic crisis using fuzzy cognitive maps: A Spanish tourism-sector perspective. Current Issues in Tourism, 25(13), 2048–2062. https://doi.org/10.1080/13683500.2021.1944995

Villacé-Molinero, T., Fernández-Muñoz, J. J., Orea-Giner, A., & Fuentes-Moraleda, L. (2021). Understanding the new post-COVID-19 risk scenario: Outlooks and challenges for a new era of tourism. Tourism Management, 86, Article 104324. https://doi.org/10.1016/j.tourman.2021.104324

Wang, J., & Karl, M. (2021). Understanding how tourists perceive and respond to risk: A focus on health risk. In J. Wilks, D. Pendergast, P. A. Leggat, & D. Morgan, (Eds.), Tourist health, safety and wellbeing in the new normal (pp. 347–371). Springer. https://doi.org/10.1007/978-981-16-5415-2_14

Weifeng, T. (2005). Risks perceived by Mainland Chinese tourists towards Southeast Asia destinations: A fuzzy logic model. Asia Pacific Journal of Tourism Research, 10(1), 97–115. https://doi.org/10.1080/1094166042000330245

Williams, A. M., & Baláž, V. (2013). Tourism, risk tolerance and competences: Travel organization and tourism hazards. Tourism Management, 35, 209–221. https://doi.org/10.1016/j.tourman.2012.07.006

Wu, L., Gao, H., & Wei, C. (2019). VIKOR method for financing risk assessment of rural tourism projects under interval-valued intuitionistic fuzzy environment. Journal of Intelligent & Fuzzy Systems, 37(2), 2001–2008. https://doi.org/10.3233/jifs-179262 (Retraction published 2025, Journal of Intelligent & Fuzzy Systems, 48[3], 377–409)

Yeung, R. M. W., & Yee, W. M. S. (2013). Risk measurement framework: An extension and validation of food safety risk in international travel destinations. British Food Journal, 115(8), 1073–1089. https://doi.org/10.1108/bfj-03-2011-0071

Yang, E., & Nair, V. (2014). Tourism at risk: A review of risk and perceived risk in tourism. Asia-Pacific Journal of Innovation in Hospitality Tourism, 3, Article 13. https://doi.org/10.7603/s40930-014-0013-z

Ying, H., Chengcai, T., & Rui, Z. (2022). Review of tourism ecological security from the perspective of ecological civilization construction. Journal of Resources and Ecology, 13(4), 734–745. https://doi.org/10.5814/j.issn.1674-764x.2022.04.018

Zhu, J., Wang, H., & Xu, B. (2021). Using fuzzy AHP-PROMETHEE for market risk assessment of new-build river cruises on the Yangtze river. Sustainability, 13(22), Article 12932. https://doi.org/10.3390/su132212932

Zou, Y., & Yu, Q. (2022). Sense of safety toward tourism destinations: A social constructivist perspective. Journal of Destination Marketing & Management, 24, Article 100708. https://doi.org/10.1016/j.jdmm.2022.100708

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2025-06-05

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Gavurova, B., & Polishchuk, V. (2025). Integrated expert model for risk assessment and ensuring the safety of tourist trips: economic and technological aspects. Technological and Economic Development of Economy, 31(3), 863–891. https://doi.org/10.3846/tede.2025.23881

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