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Nag, Aditi, Mishra, Smriti. (1403). Revitalizing Mining Heritage Tourism: A Machine Learning Approach to Tourism Management. , 15(4), 1193-1225. doi: 10.22044/jme.2024.13770.2554
Aditi Nag; Smriti Mishra. "Revitalizing Mining Heritage Tourism: A Machine Learning Approach to Tourism Management". , 15, 4, 1403, 1193-1225. doi: 10.22044/jme.2024.13770.2554
Nag, Aditi, Mishra, Smriti. (1403). 'Revitalizing Mining Heritage Tourism: A Machine Learning Approach to Tourism Management', , 15(4), pp. 1193-1225. doi: 10.22044/jme.2024.13770.2554
Nag, Aditi, Mishra, Smriti. Revitalizing Mining Heritage Tourism: A Machine Learning Approach to Tourism Management. , 1403; 15(4): 1193-1225. doi: 10.22044/jme.2024.13770.2554

Revitalizing Mining Heritage Tourism: A Machine Learning Approach to Tourism Management

Journal of Mining and Environment
مقاله 2، دوره 15، شماره 4، دی 2024، صفحه 1193-1225    اصل مقاله (2.84 M)
نوع مقاله: Case Study
شناسه دیجیتال (DOI): 10.22044/jme.2024.13770.2554
نویسندگان
Aditi Nag* ؛ Smriti Mishra
Department of Architecture and Planning, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, India
چکیده
The convergence of Mining Heritage Tourism (MHT) and Artificial Intelligence (AI) presents a transformative paradigm, reshaping heritage preservation, visitor engagement, and sustainable growth. This paper investigates the dynamic synergy between these realms, probing how AI-driven technologies can augment the authenticity, accessibility, and educational significance of mining heritage sites. Focusing on the profound impact of AI on MHT, this study centers its examination on the Barr Conglomerate located in the culturally rich Pali District, India. Employing a mixed-methods approach involving survey data analysis and neural network modelling, the research work explores AI applications that enhance visitor experiences, interpret historical narratives, optimize resource allocation, and mitigate the adverse effects of over-tourism. The study meticulously navigates a vast landscape of AI technologies, spanning machine learning, natural language processing, and augmented reality, show-casing their potential to enrich encounters with mining heritage. While AI promises to revolutionize heritage management, the paper emphasizes the critical importance of ethical considerations and cultural sensitivities. Balancing innovation with preservation, the study advocates for an inclusive approach that honors diverse cultural values and encourages community engagement. Through this exploration, the paper delves into the practical implementation of AI, unveiling best practices lessons learned and illuminating challenges and opportunities. Ultimately, this research work envisions a future where AI empowers mining heritage to transcend temporal boundaries, cultivating immersive experiences resonating with authenticity, global understanding, and sustainable stewardship.
کلیدواژه‌ها
Artificial Intelligence؛ Cultural Sensitivity؛ Mining Heritage Tourism؛ Sustainable Development؛ Visitor Engagement
مراجع
  • Pahlevan-Sharif, S., Mura, P., and Wijesinghe, S.N.R. (2019). A systematic review of systematic reviews in tourism. Journal of Hospitality and Tourism Management, Vol. 39, pp. 158–165.
  • Comerio, N. and Strozzi, F. (2019). Tourism and its economic impact: a literature review using bibliometric tools. Tourism Economics, Vol. 25, No. 1, pp. 109-131.
  • Ghosh, P. (2021). Mining Tourism Potential Assessment of Raniganj Coalfield, India. Advances in Hospitality and Tourism Research, Vol. 9, No. 2, pp. 341-367.
  • Pouresmaieli, M., Ataei, M., and Taran, A. (2023). Future mining based on internet of things (IoT) and sustainability challenges. International Journal of Sustainable Development & World Ecology, Vol. 30, No. 2, pp. 211-228.
  • Li, D., Du, P., and He, H. (2022). Artificial Intelligence-based Sustainable Development of Smart Heritage Tourism. Wireless Communications & Mobile Computing, no. 5441170. https://doi.org/10.1155/2022/5441170.
  • Loureiro, S.M.C. et al. (2022). Culture, heritage looting, and tourism: A text mining review approach. Frontiers in Psychology, Vol. 13:944250. https://doi.org/10.3389/fpsyg.2022.944250.
  • Mzembe, A.N., Koens, K., and Calvi, L. (2023). The institutional antecedents of sustainable development in cultural heritage tourism. Sustainable Development, Vol. 31, No. 4, pp. 2196-2211. https://doi.org/10.1002/sd.2565.
  • Dai, T.C., Zheng, X., and Yan, J. (2021). Contradictory or aligned? The nexus between authenticity in heritage conservation and heritage tourism, and its impact on satisfaction. Habitat International, Vol. 107, No. 102307.
  • Brooks, C. et al. (2023). Exploring the relationships between heritage tourism, sustainable community development and host communities’ health and wellbeing: A systematic review. PLoS One, Vol. 18, No. 3:e0282319.
  • Lee, Y.J. (2023). Destination fascination, well-being, and the reasonable person model of behavioural intention in heritage tourism. Current Issues in Tourism, pp. 1-17.
  • Tsai, S.P. (2020). Augmented reality enhancing place satisfaction for heritage tourism marketing. Current Issues in Tourism, Vol. 23, No. 9, pp. 1078-1083.
  • Yang, W. et al. (2022). How do aesthetics and tourist involvement influence cultural identity in heritage tourism? The mediating role of mental experience. Frontiers in Psychology, Vol. 13, No. 990030.
  • Siyongwana, P.Q. and Shabalala, A. (2018). The socio-economic impacts of mine closure on local communities: evidence from Mpumalanga Province in South Africa. GeoJournal, Vol. 84, pp. 367-380.
  • Brueckner, M. et al. (2021). Mining legacies––Broadening understandings of mining impacts. The Extractive Industries and Society, Vol. 8, Nno. 3:100950.
  • Mhlongo, S.E. and Amponsah-Dacosta, F. (2015). A review of problems and solutions of abandoned mines in South Africa. International Journal of Mining, Reclamation and Environment, vol. 30, no. 4, pp. 279-294.
  • Bennett, K. (2016). Abandoned mines — environmental, social and economic challenges. In AB Fourie and M Tibbett (eds), Mine Closure 2016: Proceedings of the 11th International Conference on Mine Closure, Australian Centre for Geomechanics, Perth, pp. 241-252.
  • UNEP and Cochilco (2001). Abandoned Mines - Problems, Issues and Policy Challenges for Decision Makers: Summary Workshop Report. UNEP & Cochilco, Chile, United Nations Environment Programme & Chilean Copper Commission. Retrieved from: https://wedocs.unep.org/bitstream/handle/20.500.11822/8116/-Adandoned%20Mines%20_%20Problems%2C%20Issues%20and%20Policy%20Challenges%20for%20Decision%20Makers-20011376.pdf?sequence=2&isAllowed=y.
  • Nag, A. and Mishra, S. (2023). Stakeholders' perception and competitiveness of heritage towns: A systematic literature review. Tourism Management Perspectives, Vol. 48, No. 101156.
  • Ashby, A.D. and Van-Etten, E.J.B. (2021). Exploring abandoned mines through a public lens. In AB Fourie, M Tibbett & A Sharkuu (eds), Mine Closure 2021: Proceedings of the 14th International Conference on Mine Closure, QMC Group.
  • Hieu, V.M. and Nwachukwu, C. (2019). Perception of sustainable tourism development: insights from stakeholders in Phu Quoc island, Vietnam. International Journal of Mechanical Engineering and Technology (IJMET), 10(2), 1776-1788.
  • Archer, D.W. et al. (2008). Social and political influences on agricultural systems. Renewable Agriculture and Food Systems, Vol. 23, pp. 272-284.
  • Pouresmaieli, M. et al. (2022). Recent progress on sustainable phytoremediation of heavy metals from soil. Journal of Environmental Chemical Engineering, Vol. 10, No. 5:108482.
  • Różycki, P. and Dryglas, D. (2017). Mining tourism, sacral and other forms of tourism practiced in antique mines - analysis of the results. Acta Montanistica Slovaca, Vol. 22, No. 1, pp. 58-66. Retrieved from: https://www.researchgate.net/publication/317163871_Mining_tourism_sacral_and_other_forms_of_tourism_practiced_in_antique_mines_-_Analysis_of_the_results.
  • Shin, S., Du, Q., & Xiang, Z. (2019). What’s how’s in online hotel reviews: Comparing information value of content and writing style with machine learning. In Information and Communication Technologies in Tourism 2019: Proceedings of the International Conference in Nicosia, Cyprus, January 30–February 1, 2019, pp. 321-332. Springer International Publishing.
  • Li, S. et al. (2018). Effective tourist volume forecasting supported by PCA and improved BPNN using Baidu index. Tourism Management, 68, pp. 116-126.
  • Condeço-Melhorado, A. et al. (2020). The Rio olympic games: A look into city dynamics through the lens of Twitter data. Sustainability, 12, No. 17:7003.
  • Buhalis, D. and Amaranggana, A. (2015). Smart Tourism Destinations Enhancing Tourism Experience through Personalisation of Services. In: Tussyadiah, I. and Inversini, A. (eds) Information and Communication Technologies in Tourism 2015. Springer, Cham.
  • Molinillo, S. et al. (2019). Smart city communication via social media: Analysing residents' and visitors' engagement. Cities, 94, pp. 247-255.
  • Neuhofer, B., Celuch, K., and To, T.L. (2020). Experience design and the dimensions of transformative festival experiences. International Journal of Contemporary Hospitality Management, 32, No. 9, pp. 2881-2901.
  • Buhalis, D. and Leung, R. (2018). Smart hospitality—Interconnectivity and interoperability towards an ecosystem. International Journal of Hospitality Management, vol. 71, pp. 41-50.
  • Spring, A.P., Peters, C., and Barton, J. (2010). Cornwall's Mining World Heritage Site. GeoInformatics, Vol. 13, No. 8, pp. 28-30.
  • Yu, X., Mu, C., and Zhang, D. (2020). Assessment of Land Reclamation Benefits in Mining Areas Using Fuzzy Comprehensive Evaluation. Sustainability, Vol. 12, No. 5.
  • Spyridou, L.P. (2019). Analyzing the active audience: Reluctant, reactive, fearful, or lazy? Forms and motives of participation in mainstream journalism. Journalism, Vol. 20, No. 6, pp. 827-847.
  • Lagarense, B.E.S. and Walansendow, A. (2014). Exploring Residents' Perceptions and Participation on Tourism and Waterfront Development: The Case of Manado Waterfront Development in Indonesia. Asia Pacific Journal of Tourism Research, Vol. 20, No. 2, pp. 223-237.
  • Shafaei, F. and Mohamed, B. (2015). A Stage-based Model Development Study on Tourism Social Impact Assessment. International Journal of Scientific and Research Publications, vol. 5, no. 3, pp. 1-6. Retrieved from: https://www.ijsrp.org/research-paper-0315/ijsrp-p3942.pdf
  • Zhuang, X., Yao, Y., and Li, J. (2019). Sociocultural Impacts of Tourism on Residents of World Cultural Heritage Sites in China. Sustainability, Vol. 11, No. 3:840.
  • Almeyda-Ibáñez, M. and George, B.P. (2017). The evolution of destination branding: A review of branding literature in tourism. Journal of Tourism, Heritage & Services Marketing, Vol. 3, No. 1, pp. 9-17.
  • Zhu, P. et al. (2022). Traveler pro-social behaviors at heritage tourism sites. Frontiers in Psychology, Vol. 13, No. 901530.
  • Zhao, Z. and Liu, Z. (2021). Development Path of Industrial Heritage Tourism: A Case Study of Kitakyushu (Japan). Sustainability, Vol. 13, No. 21:12099.
  • Zhang, S. et al. (2023). Research on global cultural heritage tourism based on bibliometric analysis. Heritage Science, vol. 11, no. 1:139.
  • Xu, Y. et al. (2020). Towards sustainable heritage tourism: A space syntax-based analysis method to improve tourists’ spatial cognition in Chinese historic districts. Buildings, Vol. 10, No. 2:29.
  • Scarpi, D. and Raggiotto, F. (2023). A construal level view of contemporary heritage tourism. Tourism Management, Vol. 94, No. 104648.
  • Jiang, S. et al. (2023). Augmented reality and the enhancement of memorable tourism experiences at heritage sites. Current Issues in Tourism, Vol. 26, No. 2, pp. 242-257.
  • Zhu, Y. (2021). Heritage tourism: from problems to possibilities. International Journal of Heritage Studies, Vol. 28, No. 1, pp. 127-129.
  • Lin, Z. and Rasoolimanesh, S.M. (2023). Influencing factors on the intention of sharing heritage tourism experience in social media. Journal of Hospitality and Tourism Technology, Vol. 14 No. 4, pp. 675-700.
  • Tu, H.M. (2020). Sustainable heritage management: Exploring dimensions of pull and push factors. Sustainability, Vol. 12, No. 19:8219.
  • Peng, K.H. and Tzeng, G.H. (2019). Exploring heritage tourism performance improvement for making sustainable development strategies using the hybrid-modified MADM model. Current issues in tourism, Vol. 22, No. 8, pp. 921-947.
  • Lee, C.K. et al. (2023). Sustainable intelligence and cultural worldview as triggers to preserve heritage tourism resources. Tourism Geographies, Vol. 25, No. 2-3, pp. 899-918.
  • Tu, H.M. (2022). Confirmative biophilic framework for heritage management. PLoS One, Vol. 17, No. 3:e0266113.
  • Shen, Y., Li, Y., and Li, Z. (2022). Application of intelligent inspection robot in coal mine industrial heritage landscape: Taking Wangshiwa coal mine as an example. Frontiers in Neurorobotics, Vol. 16, No. 865146.
  • Sousa, J.J. et al. (2023). Using machine learning and satellite data from multiple sources to analyze mining, water management, and preservation of cultural heritage. Geo-spatial Information Science, pp. 1-20.
  • Gallwey, J. et al. (2019). Bringing lunar LiDAR back down to earth: Mapping our industrial heritage through deep transfer learning. Remote Sensing, Vol. 11, No. 17: 1994. https://doi.org/10.3390/rs11171994.
  • Huang, L. and Song, Y. (2022). Intangible Cultural Heritage Management Using Machine Learning Model: A Case Study of Northwest Folk Song Huaer. Scientific Programming, Vol. 2022, No. 1383520.
  • Liu, X. et al. (2022). Cultural Heritage Resource Development and Industrial Transformation Resource Value Assessment Based on BP Neural Network. Computational Intelligence and Neuroscience, Vol. 2022.
  • Ibănescu, B.C. et al. (2018). The Impact of Tourism on Sustainable Development of Rural Areas: Evidence from Romania. Sustainability, Vol. 10, No. 10:3529. https://doi.org/10.3390/su10103529.
  • Tretiak, V.M. and Marchenkova, T.P. (2020). Recreational land use: issues of development and assessment of potential. Land management, cadastre and land monitoring, Vol. 26, No.1.
  • Costa, S.S.S. and Santos, E.N. (2016). Mining Tourism and Geotourism: Alternatives Solutions to Mine Closure and Completion. In book: 24th World Mining Congress Proceedings: Sustainability in mining Edition: 1Publisher: IBRAM, pp. 301-309.
  • Bangian, A.H. et al. (2011b). Fuzzy analytical hierarchy processing to define optimum post mining land use for pit area to clarify reclamation costs. Mineral resources management (Gospodarka surowcami mineralnymi), 56, No. 2, pp. 145-168.
  • Pouresmaieli, M., Ataei, M., and Qarahasanlou, A. N. (2023). A scientometrics view on sustainable development in surface mining: Everything from the beginning. Resources Policy, Vol. 82, No. 103410.
  • Dickinson, J.E. (2015). Travel, tourism, climate change, and behavioral change: travelers’ perspectives from a developing country, Nigeria. Journal of Sustainable Tourism, Vol. 23, No. 3, pp. 437-454.
  • García, F.A., Vázquez, A.B., and Macías, R.C. (2015). Resident's attitudes towards the impacts of tourism. Tourism Management Perspectives, Vol. 13, pp. 33-40.
  • Deery, M., Jago, L., and Fredline, L. (2012). Rethinking social impacts of tourism research: A new research agenda. Tourism Management, Vol. 33, No. 1, pp. 64-73.
  • McKercher, B. and Ho, P.S.Y. (2011). Assessing the Tourism Potential of Smaller Cultural and Heritage Attractions. Journal of Sustainable Tourism, Vol. 14, No. 5, pp. 473-488.
  • Choi, H.S.C. and Sirakaya, E. (2005). Measuring Residents’ Attitude toward Sustainable Tourism: Development of Sustainable Tourism Attitude Scale. Journal of Travel Research, Vol. 43, No. 4, pp. 380-394.
  • Li, M. et al. (2021). A systematic review of AI technology-based service encounters: Implications for hospitality and tourism operations. International Journal of Hospitality Management, Vol. 95, No. 102930.
  • Rayel, J.J., Manoka, B., and Boin, C. (2012). Residents’ Perception on the Implications of Tourism and the Proposed Mining Operations along Kokoda Track in Papua New Guinea. International Journal of Tourism Sciences, Vol. 12, No. 1, pp. 69-92.
  • Pouresmaieli, M., Ataei, M., Qarahasanlou, A.N., and Barabadi, A. (2023). Integration of renewable energy and sustainable development with strategic planning in the mining industry. Results in Engineering, 20, 101412.
  • Pouresmaieli, M., Ataei, M., and Qarahasanlou, A.N. (2023). A scientometrics view on sustainable development in surface mining: Everything from the beginning. Resources Policy, 82, 103410.
  • Vrablikova, J., Wildova, E., and Vrablik, P. (2016). Sustainable Development and Restoring the Landscape after Coal Mining in the Northern Part of the Czech Republic. Journal of Environmental Protection, Vol. 7, No. 11.
  • Jelen, J. (2018). Mining Heritage and Mining Tourism. Czech Journal of Tourism, Vol. 7, No. 1, pp. 93-105.
  • Burkhard, B. and Müller, F. (2008). Driver–pressure–state–impact–response. In: Jorgensen SE, Fath BD, editors. Ecological indicators. Vol. 2 of Encyclopedia of ecology. Oxford: Elsevier, pp. 967–970.
  • Brehm, J.M. and Eisenhauer, B.W. (2008). Motivations for Participating in Community-Supported Agriculture and Their Relationship with Community Attachment and Social Capital. Journal of Rural Social Sciences, Vol. 23, No. 1.
  • Centobelli, P. and Ndou, V. (2019). Managing customer knowledge through the use of big data analytics in tourism research. Current Issues in Tourism, Vol. 1, No. 15, pp. 1862-1882.
  • Yang, E.C.L., Khoo-Lattimore, C., and Arcodia, C. (2017). A systematic literature review of risk and gender research in tourism. Tourism Management, Vol. 58, pp. 89-100.
  • Pouresmaieli, M., Ataei, M., and Taran, A. (2023). Future mining based on internet of things (IoT) and sustainability challenges. International Journal of Sustainable Development & World Ecology, 30(2), 211-228.
  • Pouresmaieli, M., Ataei, M., Forouzandeh, P., Azizollahi, P., and Mahmoudifard, M. (2022). Recent progress on sustainable phytoremediation of heavy metals from soil. Journal of Environmental Chemical Engineering, 108482.
 

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