FOLK ART TOURISM MANAGEMENT USING PREDICTIVE SYSTEMS
DOI:
https://doi.org/10.29121/shodhkosh.v6.i2s.2025.6722Keywords:
Folk Art Tourism, Predictive Analytics, Cultural Heritage Management, Machine Learning, Sustainable Tourism, Visitor Behavior Prediction, Artisans Empowerment, Digital Preservation, Smart Tourism Systems, Data-Driven Decision MakingAbstract [English]
Traditional Folk Art Tourism Management has been changed by the incorporation of artificial intelligence and predictive analytics in cultural heritage and tourism. The proposed study will offer a predictive system that can improve the management, promotion, and sustainability of folk art tourism based on data-driven information. The system is predictive of tourists by estimating the number of visitors, seasonal variations, social media usage and economic data that can be used to predict where folk art industries can grow. The framework uses machine learning models to discover behaviour patterns of tourists, and use them to market them and provide them with personalized experiences that are relevant to cultural authenticity. The suggested system is used to digitize and categorize folk art forms, artisans, and local crafts and keep them accessible and safe in smart databases. Predictive analytics can also help policy makers and tourism boards to optimize the allocation of resources, the scheduling of events and community development projects. Moreover, the system helps artisans by predicting the demand of particular art products, which will help in optimization of supply chain and fair pricing. Real-time adaptation of tourism strategies made possible through integration with recommendation engines and sentiment analysis tools will be more likely to guarantee greater visitor satisfaction and cultural impact. The paper focuses on the need to strike a balance between technological innovation and cultural sensitivity. Through a predictive management model, folk art tourism can develop into a reactive to a proactive ecosystem which helps in supporting local economies besides conserving intangible heritage. This strategy will also help to practice sustainable tourism, spread knowledge of traditional arts in the world, and empower local communities with smart digital transformation.
References
Gomes, D. E., Iglésias, M. I. D., Proença, A. P., Lima, T. M., and Gaspar, P. D. (2021). Applying a Genetic Algorithm to a m-TSP: Case Study of a Decision Support System for Optimizing a Beverage Logistics Vehicles Routing Problem. Electronics, 10(18), 2298. https://doi.org/10.3390/electronics10182298 DOI: https://doi.org/10.3390/electronics10182298
Hu, Q., Yang, P., Ma, J., Wang, M., and He, X. (2024). The Spatial Differentiation Characteristics and Influencing Mechanisms of Intangible Cultural Heritage in China. Heliyon, 10. DOI: https://doi.org/10.1016/j.heliyon.2024.e38689
Kudumovic, L. (2023). Sustainability of the Palestinian Historic Village of Battir. Journal of Cultural Heritage Management and Sustainable Development, 13, 28–42. https://doi.org/10.1108/JCHMSD-01-2022-0012 DOI: https://doi.org/10.1108/JCHMSD-08-2020-0124
Li, S., Luo, T., Wang, L., Xing, L., and Ren, T. (2022). Tourism Route Optimization Based on Improved Knowledge Ant Colony Algorithm. Complex and Intelligent Systems, 1–16. https://doi.org/10.1007/s40747-022-00669-5 DOI: https://doi.org/10.1007/s40747-021-00635-z
Liorančaitė-Šukienė, A., and Jurėnienė, V. (2025). Heritage Management Models for Sustainable Community Tourism Development. Tourism and Hospitality, 6, 111. https://doi.org/10.3390/tourhosp6020111 DOI: https://doi.org/10.3390/tourhosp6020111
Martin, J. C., Román, C., Moreira, P., Moreno, R., and Oyarce, F. (2021). Does the Access Transport Mode Affect Visitors’ Satisfaction in a World Heritage city? The Case of Valparaíso, Chile. Journal of Transport Geography, 91, Article 102969. https://doi.org/10.1016/j.jtrangeo.2021.102969 DOI: https://doi.org/10.1016/j.jtrangeo.2021.102969
Megeirhi, H. A., Woosnam, K. M., Ribeiro, M. A., Ramkissoon, H. R., and Denley, T. J. (2020). Employing a Value–Belief–Norm Framework to Gauge Carthage Residents’ Intentions to Support Sustainable Cultural Heritage Tourism. Journal of Sustainable Tourism, 28(9), 1351–1370. https://doi.org/10.1080/09669582.2020.1738444 DOI: https://doi.org/10.1080/09669582.2020.1738444
Min, W. (2025). A Scientometric Review of Cultural Heritage Management and Sustainable Development Through Evolutionary Perspectives. Npj Heritage Science, 13, 215. https://doi.org/10.1038/s40494-025-01708-9 DOI: https://doi.org/10.1038/s40494-025-01708-9
Qiu, Q., Zuo, Y., and Zhang, M. (2022). Intangible Cultural Heritage in Tourism: Research Review and Investigation of Future Agenda. Land, 11, 139. https://doi.org/10.3390/land11020139 DOI: https://doi.org/10.3390/land11010139
Sanagustín-Fons, M., Tobar-Pesántez, L., Ravina-Ripoll, R., and Chen, M. H. (2020). Happiness and Cultural Tourism: The Perspective of Civil Participation. Sustainability, 12(8), 3465. https://doi.org/10.3390/su12083465 DOI: https://doi.org/10.3390/su12083465
Wang, Z., Alli, H., and Md Yusoff, I. S. (2025). The Application of Interaction Design in Cultural Heritage Tourism: A Systematic Literature Review. Preservation, Digital Technology and Culture, 54(1), 77–92. https://doi.org/10.1515/pdtc-2024-0053 DOI: https://doi.org/10.1515/pdtc-2024-0053
Zhang, S., Lin, J., Feng, Z., Wu, Y., Zhao, Q., Liu, S., Ren, Y., and Li, H. (2023). Construction of Cultural Heritage Evaluation System and Personalized Cultural Tourism Path Decision Model: An International Historical and Cultural city. Journal of Urban Management, 12(2), 96–111. DOI: https://doi.org/10.1016/j.jum.2022.10.001
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Copyright (c) 2025 Lakshya Swarup, Dr. Naresh Kaushik, Priyadarshani Singh, Lokesh Verma, Dr. P. Ajitha, Dr. Yallati Venkata Rangaiah
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