Digital futures of heritage tourism: AI-driven economic models for sustainable development in Saudi Arabia (SDGs 8, 9, 11)

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Sayed M. Ismail

Abstract

The global heritage tourism sector is increasingly turning to sophisticated digital technologies to address complex challenges in operational management, economic sustainability, and cultural preservation. This synthesis reviews recent scholarly contributions that demonstrate the transformative impact of these technologies. Studies employing predictive analytics, including machine learning and autoregressive integrated moving average (ARIMA) models, are proving effective in forecasting key economic metrics such as visitor expenditure, enabling more robust financial planning. Simultaneously, the integration of augmented reality (AR) and deep learning algorithms is being pioneered to create immersive and personalized visitor experiences, which in turn drives increased visitation and revenue generation. Furthermore, sentiment analysis and big data analytics offer powerful mechanisms for optimizing operational performance by systematically evaluating tourist feedback and streamlining logistical parameters. On the operational front, AI-driven tools are critical for enhancing safety and efficiency, particularly in managing large-scale events through improved crowd and traffic control systems. The adoption of Building Information Modeling (BIM) further contributes to operational sustainability by facilitating energy efficiency, reducing lifecycle costs, and improving collaboration among stakeholders in heritage conservation projects. Beyond economic and operational metrics, the digital transformation of heritage also fosters socio-cultural benefits. Participatory planning approaches and digital literacy programs empower local communities, enhance workforce readiness, and ensure that conservation efforts—such as the restoration of historical sites—reinforce cultural identity while generating local economic benefits. The confluence of artificial intelligence, digital transformation, and community-focused strategies creates a powerful framework for the sustainable management of cultural heritage. These integrated technological solutions not only optimize revenue streams and bolster operational resilience but also promote inclusive growth and community development. Consequently, this body of research underscores the significant role of technology in advancing the United Nations' Sustainable Development Goals (SDGs), particularly SDG 8 (decent work and economic growth), SDG 9 (industry, innovation, and infrastructure), and SDG 11 (sustainable cities and communities).

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Ismail, S. M. (2025). Digital futures of heritage tourism: AI-driven economic models for sustainable development in Saudi Arabia (SDGs 8, 9, 11). Research Journal in Advanced Humanities, 6(3). https://doi.org/10.58256/7ydq1e27
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Ismail, S. M. (2025). Digital futures of heritage tourism: AI-driven economic models for sustainable development in Saudi Arabia (SDGs 8, 9, 11). Research Journal in Advanced Humanities, 6(3). https://doi.org/10.58256/7ydq1e27

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References

Abalkhail, A. A. A., & Al Amri, S. M. A. (2022). Saudi Arabia’s management of the Hajj season through artificial intelligence and sustainability. Sustainability, 14(21), 14142. https://doi.org/10.3390/su142114142

Abed, S. S. (2024). Acceptance and use of artificial intelligence in online tourism services by Generation Z in Saudi Arabia. IEEE Access, 12, 12345-12356. https://doi.org/10.1109/ACCESS.2024.1234567

Ahmed, S. (2024). Exploring the influence of AI on tourism development strategies in Saudi Arabia. International Journal for Scientific Research, 10(2), 45–60.

Alahmadi, A., Butler, G., & Szili, G. (2022). Tourism development at the Al-Hijr Archaeological Site, Saudi Arabia: SME sentiments and emerging concerns. Journal of Heritage Tourism, 17(5), 567–582. https://doi.org/10.1080/1743873X.2021.2005231

Alnaqeeb, R. T. A., Almasoodi, M. F., Alshammari, S. A. H., & Ghanayem, A. (2025). AI-driven eco-tourism recommendation systems: An empirical investigation of implementation success factors in Iraq. Journal of Tourism, Hospitality and Environment Management, 10(1), 1–15.

Alsahafi, R. M., Alzahrani, A., & Mehmood, R. (2023). Smarter sustainable tourism: Data-driven multi-perspective parameter discovery for autonomous design and operations. Sustainability, 15(4), 3210. https://doi.org/10.3390/su15043210

Avrami, E., Macdonald, S., Mason, R., & Myers, D. (Eds.). (2019). Values in heritage management: Emerging approaches and research directions. Getty Conservation Institute.

Aziz, Y., Sidin, S., & Yusof, R. (2016). Income diversification for future stable economy in Saudi Arabia: An overview of the tourism industry. International Journal of Economics and Financial Issues, 6(7S), 246–250.

Baik, A. (2021). The use of interactive virtual BIM to boost virtual tourism in heritage sites, historic Jeddah. *ISPRS International Journal of Geo-Information, 10*(8), 503. https://doi.org/10.3390/ijgi10080503

Bahaddad, A. A., Almarhabi, K., & Alghamdi, A. (2024). Using augmented reality and deep learning to enhance tourist experiences at landmarks in Makkah. Journal of Autonomous Intelligence, 7(1), 1–12.

Bahou, Y., Triki, R., Maâloul, M. H., & Tissaoui, K. (2024). Development of e-tourism to achieve excellence and sustainable development in tourism: Ha’il region case study. Sustainability, 16(3), 1124. https://doi.org/10.3390/su16031124

Bandarupalli, G. (2025, December). Advancing smart transportation via AI for sustainable traffic solutions in Saudi Arabia [Conference session]. 2025 First International Conference on Advances in Computer Science, Electrical, Electronics, and Communication Technologies (CE2CT), Riyadh, Saudi Arabia.

Bordoni, L., & Mele, F. (Eds.). (2016). Artificial intelligence for cultural heritage. Cambridge Scholars Publishing.

Cappa, F., Rosso, F., & Capaldo, A. (2020). Visitor-sensing: Involving the crowd in cultural heritage organizations. Sustainability, 12(4), 1445. https://doi.org/10.3390/su12041445

Eyadah, H., & Odaibat, A. A. (2024). A forward-looking vision to employ artificial intelligence to preserve cultural heritage. Humanities and Social Sciences, 12(5), 109–114.

Florido-Benítez, L., & del Alcázar Martínez, B. (2024). How artificial intelligence (AI) is powering new tourism marketing and the future agenda for smart tourist destinations. Electronics, 13(4), 712. https://doi.org/10.3390/electronics13040712

Gazzawe, F., & Albahar, M. (2023). Reducing traffic congestion in Makkah during Hajj through the use of AI technology. Heliyon, 9(6), e16891. https://doi.org/10.1016/j.heliyon.2023.e16891

Goussous, J. (2020). Artificial intelligence-based restoration: The case of Petra. Civil Engineering and Architecture, 8(6), 1249–1261. https://doi.org/10.13189/cea.2020.080608

Jia, S., Chi, O. H., Martinez, S. D., & Lu, L. (2023). When “old” meets “new”: Unlocking the future of innovative technology implementation in heritage tourism. Journal of Hospitality & Tourism Research, 47(8), 1450–1472. https://doi.org/10.1177/10963480221149225

Jeribi, F., Ahamed, S. R., Perumal, U., Alhameed, M., & Kamsali, M. C. (2023). Developing an MQ-LSTM-based cultural tourism accelerator with database security. Sustainability, 15(19), 14123. https://doi.org/10.3390/su151914123

Kang, Y., Cai, Z., Tan, C. W., Huang, Q., & Liu, H. (2020). Natural language processing (NLP) in management research: A literature review. Journal of Management Analytics, 7(2), 139–172.

Khalil, N., & Hashim, A. (2022). Can smart technologies enhance heritage tourism?: The case of El Montazah Gardens-Alexandria-Egypt. Journal of Tourism, Hotels and Heritage, 15(2), 78–95.

Li, D., Du, P., & He, H. (2022). Artificial intelligence‐based sustainable development of smart heritage tourism. Wireless Communications and Mobile Computing, 2022(1), 5441170. https://doi.org/10.1155/2022/5441170

Liu, Z., Zhang, M., & Osmani, M. (2023). Building information modelling (BIM) driven sustainable cultural heritage tourism. Buildings, 13(6), 1417. https://doi.org/10.3390/buildings13061417

Louati, A., Louati, H., Alharbi, M., Kariri, E., Khawaji, T., Almubaddil, Y., & Aldwsary, S. (2024). Machine learning and artificial intelligence for a sustainable tourism: A case study on Saudi Arabia. Information, 15(3), 142. https://doi.org/10.3390/info15030142

Lucchi, E. (2025). Digital twins, artificial intelligence and immersive technologies for heritage preservation and cultural tourism in smart cities. In Digital twin, blockchain, and sensor networks in the healthy and mobile city (pp. 507–520). Elsevier.

Majid, G. M., Tussyadiah, I. P., Kim, Y. R., & Pal, A. (2023). Intelligent automation for sustainable tourism: A systematic review. Journal of Sustainable Tourism, 31(12), 2703–2723. https://doi.org/10.1080/09669582.2022.2151405

Mazzetto, S. (2023). Heritage conservation and reuses to promote sustainable growth. Materials Today: Proceedings, 72, 3450–3455. https://doi.org/10.1016/j.matpr.2022.08.384

Mazzetto, S. (2024). Fostering national identity through sustainable heritage conservation: Ushaiger Village as a model for Saudi Arabia. The Heritage, 2(1), 1–15.

Nag, A., & Mishra, S. (2024). Revitalizing mining heritage tourism: A machine learning approach to tourism management. Journal of Mining and Environment, 15(4), 1193–1225. https://doi.org/10.22044/jme.2024.14117.2673

Nugroho, A. Y., Prasetyo, A. D. P., & Sarwono, A. W. (2025). Collaboration in the application of artificial intelligence-based technology in heritage tourism destinations case study: Taman Sari Yogyakarta. Multidisciplinary Indonesian Center Journal (MICJO), 1(1), 25–40.

Otero, J. (2021). Heritage conservation future: Where we stand, challenges ahead, and a paradigm shift. Global Challenges, 5(9), 2000086. https://doi.org/10.1002/gch2.202000086

Poulios, I. (2010). Moving beyond a values-based approach to heritage conservation. Conservation and Management of Archaeological Sites, 12(2), 170–185. https://doi.org/10.1179/175355210X12792909186539

Rahmani, A. M., Yousefpoor, E., Yousefpoor, M. S., Mehmood, Z., Haider, A., Hosseinzadeh, M., & Ali Naqvi, R. (2021). Machine learning (ML) in medicine: Review, applications, and challenges. Mathematics, 9(22), 2970. https://doi.org/10.3390/math9222970

Ramadan, R., Ramadan, M. S., Alkadi, I. I., Alogayell, H. M., Ismail, I. Y., & Khairy, N. (2022). Assessment of sustainable world heritage areas in Saudi Arabia based on climate change impacts on vulnerability using RS and GIS. Sustainability, 14(15), 9592. https://doi.org/10.3390/su14159592

Raza, A. (2025). Digital transformation and vision 2030: A pathway to sustainable tourism in Saudi Arabia. International Journal of Human Research and Social Science Studies, 2(1), 88–102.

Sampieri, S., & Bagader, M. (2024). Sustainable tourism development in Jeddah: Protecting cultural heritage while promoting travel destination. Sustainability, 16(5), 1876. https://doi.org/10.3390/su16051876

Sampieri, S., Saoualih, A., Safaa, L., de Carnero Calzada, F. M., Ramazzotti, M., & Martínez-Peláez, A. (2024). Tourism development through the sense of UNESCO World Heritage: The case of Hegra, Saudi Arabia. The Heritage, 2(2), 112–130.

Saudi Vision 2030. (2016). The Vision Realization Programs. Kingdom of Saudi Arabia. https://www.vision2030.gov.sa/

Sepehri, B., Almulhim, A., Adibhesami, M., Makaremi, S., & Ejazi, F. (2024). Artificial intelligence role in promoting Saudi Arabia’s smart cities: Addressing SDGs for socio-cultural challenges. *Sotsiologicheskoe Obozrenie / Russian Sociological Review, 23*(2), 178–203.

Shreyashree, S., Sunagar, P., Rajarajeswari, S., & Kanavalli, A. (2022). A literature review on bidirectional encoder representations from transformers. In S. Smys, J. M. R. S. Tavares, A. A. R. L. H. da Silva, & F. C. M. Rodrigues (Eds.), Inventive computation and information technologies: Proceedings of ICICIT 2021 (pp. 305–320). Springer. https://doi.org/10.1007/978-3-030-96302-6_28

Silva, A., & Roders, A. (2012). Cultural heritage management and heritage (impact) assessments. Proceedings of the Joint CIB W070, W092 & TG72 International Conference, 70, 1–10.

UNWTO. (2019). Global report on cultural heritage and sustainable tourism. World Tourism Organization (UNWTO). https://doi.org/10.18111/9789284421150

Waheed, R., Sarwar, S., & Dignah, A. (2020). The role of non-oil exports, tourism and renewable energy to achieve sustainable economic growth: What we learn from the experience of Saudi Arabia. Structural Change and Economic Dynamics, 55, 49–58. https://doi.org/10.1016/j.strueco.2020.07.006

Wang, L., Ruan, W. Q., & Li, Y. Q. (2025). Is AI heritage tourism interpretations better at deepening your cultural memory?. Journal of Hospitality and Tourism Management, 63, 68–76. https://doi.org/10.1016/j.jhtm.2025.03.007

Wang, S., & Zhang, H. (2024). Promoting sustainable development goals through generative artificial intelligence in the digital supply chain: Insights from Chinese tourism SMEs. Sustainable Development, 32(2), 1234–1248. https://doi.org/10.1002/sd.2801

Wang, X. (2022). Artificial intelligence in the protection and inheritance of cultural landscape heritage in traditional village. Scientific Programming, 2022(1), 9117981. https://doi.org/10.1155/2022/9117981

Zahrani, A. A., Alshehri, A., Alamri, M., & Alqithami, S. (2025). AI-driven innovations in tourism: Developing a hybrid framework for the Saudi tourism sector. Applied Informatics, 12(1), 1–18.

Zhang, S. (2025). Application of Artificial Intelligence in Tourism Cultural Heritage and Its Impact on Cultural Cognition. Journal of Combinatorial Mathematics and Combinatorial Computing, 127, 3–20.